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    <title>Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, &amp; Computer Aided Engineering.</title>
    <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/</link>
    <language>en</language>
    <copyright>Siemens Digital Industries Software</copyright>
    <description>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. 
Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. 
Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. 
Join us to explore where ideas turn into reality and how simulations fuel innovation.</description>
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      <title>Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, &amp; Computer Aided Engineering.</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/</link>
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    <itunes:subtitle></itunes:subtitle>
    <itunes:author>Siemens Digital Industries Software</itunes:author>
    <itunes:summary>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. 
Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. 
Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. 
Join us to explore where ideas turn into reality and how simulations fuel innovation.</itunes:summary>
    <content:encoded>
      <![CDATA[<p>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. </p><p>Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. </p><p>Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. </p><p>Join us to explore where ideas turn into reality and how simulations fuel innovation.</p>]]>
    </content:encoded>
    <itunes:owner>
      <itunes:name>Siemens Digital Industries Software</itunes:name>
      <itunes:email>siemens.disw.podcasts@gmail.com</itunes:email>
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    <itunes:category text="Technology">
    </itunes:category>
    <itunes:category text="News">
      <itunes:category text="Tech News"/>
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    <itunes:category text="Science">
      <itunes:category text="Physics"/>
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    <item>
      <title>Resistance is (not) Futile!</title>
      <description>Resistance is (not) Futile! Strapping Jet Engines to an 1880s Paddle Steamer

Guests: Dimitri Ponkratov (Marine Director, Siemens Digital Industries Software), 
Rui Lopes (Postdoc, Chalmers University)
Host: Stephen Ferguson

Episode Summary:
In this episode of The Engineer Innovation Podcast, we explore one of the most surprising engineering experiments of the 20th century—strapping jet engines to an 1880s paddle steamer to solve the problem of ship resistance testing! Our guests, Dimitri Ponkratov and Rui Lopes, walk us through the rediscovery of this post-war experiment and explain how it’s influencing cutting-edge ship design today.

Dimitri shares the fascinating history of the Lucy Ashton, a paddle steamer refitted with jet engines in the 1950s to isolate ship resistance from propeller effects. Meanwhile, Rui discusses the ongoing international workshop using modern computational fluid dynamics (CFD) simulations to validate this historic data, and how their findings could revolutionize the future of shipbuilding.

Key Topics Discussed:

Full-scale ship resistance testing: challenges and breakthroughs

The 1950s experiment involving jet engines on the Lucy Ashton


How historical data is shaping modern CFD models and simulations

Insights from the JoRes Joint Research Initiative and Chalmers University workshop

The implications of this research for future ship design and performance testing

Show Highlights:

[03:25] Dimitri introduces the concept of ship resistance and explains the challenges of isolating different components in real-world tests.

[09:00] The story behind the Lucy Ashton and the ingenious 1950s experiment that used jet engines to solve a naval engineering puzzle.

[14:45] Ruy shares the success of their international workshop, where 47 groups are participating to validate this unique data set using modern CFD tools.

[25:20] A look at the impact of human error in ship simulations and how workshops like this help refine industry practices.

[30:00] Reflections on the historical significance of the Lucy Ashton and its continued role in maritime innovation.



Resources Mentioned:


Lucy Ashton on Wikipedia



Chalmers University Workshop on Ship Resistance Testing

JoRes Joint Research Initiative</description>
      <pubDate>Thu, 26 Sep 2024 10:13:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1803a710-6f68-11ef-b1cb-9337bebdccc8/image/832363d3e804604a2faa6f553241cd05.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Strapping Jet Engines to an 1880s Paddle Steamer</itunes:subtitle>
      <itunes:summary>Resistance is (not) Futile! Strapping Jet Engines to an 1880s Paddle Steamer

Guests: Dimitri Ponkratov (Marine Director, Siemens Digital Industries Software), 
Rui Lopes (Postdoc, Chalmers University)
Host: Stephen Ferguson

Episode Summary:
In this episode of The Engineer Innovation Podcast, we explore one of the most surprising engineering experiments of the 20th century—strapping jet engines to an 1880s paddle steamer to solve the problem of ship resistance testing! Our guests, Dimitri Ponkratov and Rui Lopes, walk us through the rediscovery of this post-war experiment and explain how it’s influencing cutting-edge ship design today.

Dimitri shares the fascinating history of the Lucy Ashton, a paddle steamer refitted with jet engines in the 1950s to isolate ship resistance from propeller effects. Meanwhile, Rui discusses the ongoing international workshop using modern computational fluid dynamics (CFD) simulations to validate this historic data, and how their findings could revolutionize the future of shipbuilding.

Key Topics Discussed:

Full-scale ship resistance testing: challenges and breakthroughs

The 1950s experiment involving jet engines on the Lucy Ashton


How historical data is shaping modern CFD models and simulations

Insights from the JoRes Joint Research Initiative and Chalmers University workshop

The implications of this research for future ship design and performance testing

Show Highlights:

[03:25] Dimitri introduces the concept of ship resistance and explains the challenges of isolating different components in real-world tests.

[09:00] The story behind the Lucy Ashton and the ingenious 1950s experiment that used jet engines to solve a naval engineering puzzle.

[14:45] Ruy shares the success of their international workshop, where 47 groups are participating to validate this unique data set using modern CFD tools.

[25:20] A look at the impact of human error in ship simulations and how workshops like this help refine industry practices.

[30:00] Reflections on the historical significance of the Lucy Ashton and its continued role in maritime innovation.



Resources Mentioned:


Lucy Ashton on Wikipedia



Chalmers University Workshop on Ship Resistance Testing

JoRes Joint Research Initiative</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Resistance is (not) Futile! Strapping Jet Engines to an 1880s Paddle Steamer</strong></p><p><br></p><p><strong>Guests: </strong><a href="https://www.linkedin.com/in/dmitriy-ponkratov/"><strong>Dimitri Ponkratov</strong></a><strong> (Marine Director, Siemens Digital Industries Software), </strong></p><p><a href="https://research.chalmers.se/en/person/ruimig"><strong>Rui Lopes</strong></a><strong> (Postdoc, Chalmers University)</strong></p><p><strong>Host: </strong><a href="https://www.linkedin.com/in/stephenferguson/?original_referer=https%3A%2F%2Fwww%2Egoogle%2Ecom%2F&amp;originalSubdomain=uk"><strong>Stephen Ferguson</strong></a></p><p><br></p><p><strong>Episode Summary:</strong></p><p>In this episode of <em>The Engineer Innovation Podcast</em>, we explore one of the most surprising engineering experiments of the 20th century—strapping jet engines to an 1880s paddle steamer to solve the problem of ship resistance testing! Our guests, Dimitri Ponkratov and Rui Lopes, walk us through the rediscovery of this post-war experiment and explain how it’s influencing cutting-edge ship design today.</p><p><br></p><p>Dimitri shares the fascinating history of the <em>Lucy Ashton</em>, a paddle steamer refitted with jet engines in the 1950s to isolate ship resistance from propeller effects. Meanwhile, Rui discusses the ongoing international workshop using modern computational fluid dynamics (CFD) simulations to validate this historic data, and how their findings could revolutionize the future of shipbuilding.</p><p><br></p><p><strong>Key Topics Discussed:</strong></p><ul>
<li>Full-scale ship resistance testing: challenges and breakthroughs</li>
<li>The 1950s experiment involving jet engines on the <em>Lucy Ashton</em>
</li>
<li>How historical data is shaping modern CFD models and simulations</li>
<li>Insights from the JoRes Joint Research Initiative and Chalmers University workshop</li>
<li>The implications of this research for future ship design and performance testing</li>
</ul><p><strong>Show Highlights:</strong></p><ul>
<li>[03:25] Dimitri introduces the concept of ship resistance and explains the challenges of isolating different components in real-world tests.</li>
<li>[09:00] The story behind the <em>Lucy Ashton</em> and the ingenious 1950s experiment that used jet engines to solve a naval engineering puzzle.</li>
<li>[14:45] Ruy shares the success of their international workshop, where 47 groups are participating to validate this unique data set using modern CFD tools.</li>
<li>[25:20] A look at the impact of human error in ship simulations and how workshops like this help refine industry practices.</li>
<li>[30:00] Reflections on the historical significance of the <em>Lucy Ashton</em> and its continued role in maritime innovation.</li>
<li><br></li>
</ul><p><strong>Resources Mentioned:</strong></p><ul>
<li>
<em>Lucy Ashton</em> on <a href="https://en.wikipedia.org/wiki/Lucy_Ashton">Wikipedia</a>
</li>
<li>
<a href="https://jores.net/news/108/detail">Chalmers University Workshop on Ship Resistance Testin</a>g</li>
<li><a href="https://jores.net/">JoRes Joint Research Initiative</a></li>
</ul>]]>
      </content:encoded>
      <itunes:duration>2075</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>Trisolaris: From CERN to 3 body problem with Matt Kenzie</title>
      <description>In this episode, Dr. Matt Kenzie, an Associate Professor at Cambridge University, dives into the intricate world of experimental particle physics. He shares his journey into the field, highlighting the pivotal moments and discoveries that shaped his career. The discussion also explores the current challenges facing the Standard Model, the technological advancements driving the field forward and what the future holds for particle detection and the development of next-generation collider technologies.

Key Takeaways:


The journey into particle physics often involves unexpected paths and key discoveries that shape a researcher’s career.

Addressing the limitations of the Standard Model is crucial for uncovering new physics and advancing our understanding of the universe.

Technological advancements and collaboration are driving the future of particle detection, paving the way for more powerful and precise collider experiments.




This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.

Relevant links:
Dr. Matt Kenzie https://www.phy.cam.ac.uk/staff/dr-matt-kenzie




▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and 
manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.




#ParticlePhysics #PhysicsResearch #ScienceInnovation #StandardModel #ColliderTechnology #ExperimentalPhysics #NewPhysics #ScientificCollaboration #CERN #FutureOfScience</description>
      <pubDate>Wed, 18 Sep 2024 10:22:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e47d99fa-75a7-11ef-857b-cf5737bab68a/image/63cf19a7c3077506709af8ccb4265b64.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, Dr. Matt Kenzie, an Associate Professor at Cambridge University, dives into the intricate world of experimental particle physics. He shares his journey into the field, highlighting the pivotal moments and discoveries that shaped his career. The discussion also explores the current challenges facing the Standard Model, the technological advancements driving the field forward and what the future holds for particle detection and the development of next-generation collider technologies.

Key Takeaways:


The journey into particle physics often involves unexpected paths and key discoveries that shape a researcher’s career.

Addressing the limitations of the Standard Model is crucial for uncovering new physics and advancing our understanding of the universe.

Technological advancements and collaboration are driving the future of particle detection, paving the way for more powerful and precise collider experiments.




This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.

Relevant links:
Dr. Matt Kenzie https://www.phy.cam.ac.uk/staff/dr-matt-kenzie




▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and 
manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.




#ParticlePhysics #PhysicsResearch #ScienceInnovation #StandardModel #ColliderTechnology #ExperimentalPhysics #NewPhysics #ScientificCollaboration #CERN #FutureOfScience</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Dr. Matt Kenzie, an Associate Professor at <a href="https://www.linkedin.com/school/university-of-cambridge/">Cambridge University</a>, dives into the intricate world of experimental particle physics. He shares his journey into the field, highlighting the pivotal moments and discoveries that shaped his career. The discussion also explores the current challenges facing the Standard Model, the technological advancements driving the field forward and what the future holds for particle detection and the development of next-generation collider technologies.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><ul>
<li>The journey into particle physics often involves unexpected paths and key discoveries that shape a researcher’s career.</li>
<li>Addressing the limitations of the Standard Model is crucial for uncovering new physics and advancing our understanding of the universe.</li>
<li>Technological advancements and collaboration are driving the future of particle detection, paving the way for more powerful and precise collider experiments.</li>
</ul><p><br></p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p><br></p><p><strong>Relevant links:</strong></p><p>Dr. Matt Kenzie <a href="https://www.phy.cam.ac.uk/staff/dr-matt-kenzie">https://www.phy.cam.ac.uk/staff/dr-matt-kenzie</a></p><p><br></p><p><br></p><p><br></p><p><br></p><p>▶️ About Simcenter:</p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and </p><p>manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p><br></p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p><br></p><p><br></p><p>#ParticlePhysics #PhysicsResearch #ScienceInnovation #StandardModel #ColliderTechnology #ExperimentalPhysics #NewPhysics #ScientificCollaboration #CERN #FutureOfScience</p>]]>
      </content:encoded>
      <itunes:duration>4039</itunes:duration>
      <guid isPermaLink="false"><![CDATA[e47d99fa-75a7-11ef-857b-cf5737bab68a]]></guid>
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    </item>
    <item>
      <title>Digital Threads in Semiconductor Engineering</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/threads/</link>
      <description>In this episode of the Engineer Innovation Podcast, host Stephen Ferguson is joined by two experts from Siemens—David Corey, VP of Semiconductor Industry Sales, and Dr. Andras Vass-Varnai, Business Development Leader—to explore the latest trends and challenges in semiconductor technology.

Our conversation covers the economic limits of Moore’s Law, the increasing complexity of semiconductor packages, and the critical role of digital threads in streamlining design and manufacturing processes. David and Andres break down how digital threads connect data across all stages of product development, helping companies manage the growing complexity of semiconductor design and production. The episode also delves into how simulation and automation are revolutionizing the industry, and the hard lessons learned from COVID’s impact on global supply chains.

Whether you’re curious about the future of your smartphone’s chips or deeply involved in the semiconductor industry, this episode offers valuable insights into the innovations that are driving the future of electronics.

Key Topics Discussed:

Moore’s Law and its economic limits in the semiconductor industry

The rise of advanced semiconductor packaging and heterogeneous integration

What digital threads are and how they connect every stage of semiconductor development

The importance of data management and simulation in reducing time-to-market

Lessons from COVID: How global supply chains adapted and what’s changing moving forward

Real-world applications of digital threads in semiconductor manufacturing



Notable Quotes:

"Digital threads are not just buzzwords; they're the backbone of how companies are managing complexity and driving innovation."

"The semiconductor industry might be hitting the limits of Moore’s Law economically, but innovation is just getting started."



Resources &amp; Links:

Learn more about Siemens' work in the semiconductor industry: Siemens Digital Industries


Follow David on LinkedIn: https://www.linkedin.com/in/david-corey-siemens/


Follow Andras on LinkedIn: https://www.linkedin.com/in/andras-vass-varnai/


More about digital threads in manufacturing: https://blogs.sw.siemens.com/simcenter/digitalizing-the-semiconductor-industry/




Episode Highlights:

[02:30] David Corey discusses the economic realities facing the semiconductor industry and the shifting focus on packaging.

[10:45] Dr. Andres Vasvane explains how digital threads streamline product development and the impact of simulation.

[18:00] The importance of a flexible supply chain and how companies are using digital threads to move data more efficiently.

﻿
Tune In:
Subscribe to Engineer Innovation Podcast on Spotify, Apple Podcasts, or wherever you download your podcasts to stay up-to-date with the latest in engineering and technology.</description>
      <pubDate>Wed, 04 Sep 2024 12:33:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/573f00f8-6ab0-11ef-96a6-47ff16e9ea97/image/b52d0abf27b34efdb088f102cd2b9c3c.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode of the Engineer Innovation Podcast, host Stephen Ferguson is joined by two experts from Siemens—David Corey, VP of Semiconductor Industry Sales, and Dr. Andras Vass-Varnai, Business Development Leader—to explore the latest trends and challenges in semiconductor technology.

Our conversation covers the economic limits of Moore’s Law, the increasing complexity of semiconductor packages, and the critical role of digital threads in streamlining design and manufacturing processes. David and Andres break down how digital threads connect data across all stages of product development, helping companies manage the growing complexity of semiconductor design and production. The episode also delves into how simulation and automation are revolutionizing the industry, and the hard lessons learned from COVID’s impact on global supply chains.

Whether you’re curious about the future of your smartphone’s chips or deeply involved in the semiconductor industry, this episode offers valuable insights into the innovations that are driving the future of electronics.

Key Topics Discussed:

Moore’s Law and its economic limits in the semiconductor industry

The rise of advanced semiconductor packaging and heterogeneous integration

What digital threads are and how they connect every stage of semiconductor development

The importance of data management and simulation in reducing time-to-market

Lessons from COVID: How global supply chains adapted and what’s changing moving forward

Real-world applications of digital threads in semiconductor manufacturing



Notable Quotes:

"Digital threads are not just buzzwords; they're the backbone of how companies are managing complexity and driving innovation."

"The semiconductor industry might be hitting the limits of Moore’s Law economically, but innovation is just getting started."



Resources &amp; Links:

Learn more about Siemens' work in the semiconductor industry: Siemens Digital Industries


Follow David on LinkedIn: https://www.linkedin.com/in/david-corey-siemens/


Follow Andras on LinkedIn: https://www.linkedin.com/in/andras-vass-varnai/


More about digital threads in manufacturing: https://blogs.sw.siemens.com/simcenter/digitalizing-the-semiconductor-industry/




Episode Highlights:

[02:30] David Corey discusses the economic realities facing the semiconductor industry and the shifting focus on packaging.

[10:45] Dr. Andres Vasvane explains how digital threads streamline product development and the impact of simulation.

[18:00] The importance of a flexible supply chain and how companies are using digital threads to move data more efficiently.

﻿
Tune In:
Subscribe to Engineer Innovation Podcast on Spotify, Apple Podcasts, or wherever you download your podcasts to stay up-to-date with the latest in engineering and technology.</itunes:summary>
      <content:encoded>
        <![CDATA[<p><br></p><p>In this episode of the <em>Engineer Innovation Podcast</em>, host Stephen Ferguson is joined by two experts from Siemens—David Corey, VP of Semiconductor Industry Sales, and Dr. Andras Vass-Varnai, Business Development Leader—to explore the latest trends and challenges in semiconductor technology.</p><p><br></p><p>Our conversation covers the economic limits of Moore’s Law, the increasing complexity of semiconductor packages, and the critical role of digital threads in streamlining design and manufacturing processes. David and Andres break down how digital threads connect data across all stages of product development, helping companies manage the growing complexity of semiconductor design and production. The episode also delves into how simulation and automation are revolutionizing the industry, and the hard lessons learned from COVID’s impact on global supply chains.</p><p><br></p><p>Whether you’re curious about the future of your smartphone’s chips or deeply involved in the semiconductor industry, this episode offers valuable insights into the innovations that are driving the future of electronics.</p><p><br></p><p><strong>Key Topics Discussed:</strong></p><ul>
<li>Moore’s Law and its economic limits in the semiconductor industry</li>
<li>The rise of advanced semiconductor packaging and heterogeneous integration</li>
<li>What digital threads are and how they connect every stage of semiconductor development</li>
<li>The importance of data management and simulation in reducing time-to-market</li>
<li>Lessons from COVID: How global supply chains adapted and what’s changing moving forward</li>
<li>Real-world applications of digital threads in semiconductor manufacturing</li>
<li><br></li>
</ul><p><strong>Notable Quotes:</strong></p><ul>
<li>"Digital threads are not just buzzwords; they're the backbone of how companies are managing complexity and driving innovation."</li>
<li>"The semiconductor industry might be hitting the limits of Moore’s Law economically, but innovation is just getting started."</li>
<li><br></li>
</ul><p><strong>Resources &amp; Links:</strong></p><ul>
<li>Learn more about Siemens' work in the semiconductor industry:<a href="https://www.sw.siemens.com/en-US/digital-thread/integrated-lifecycle-management/semiconductor/"> Siemens Digital Industries</a>
</li>
<li>Follow David on LinkedIn:<a href="https://www.linkedin.com/in/david-corey-siemens/"> https://www.linkedin.com/in/david-corey-siemens/</a>
</li>
<li>Follow Andras on LinkedIn: <a href="https://www.linkedin.com/in/andras-vass-varnai/">https://www.linkedin.com/in/andras-vass-varnai/</a>
</li>
<li>More about digital threads in manufacturing: <a href="https://blogs.sw.siemens.com/simcenter/digitalizing-the-semiconductor-industry/">https://blogs.sw.siemens.com/simcenter/digitalizing-the-semiconductor-industry/</a>
</li>
<li><br></li>
</ul><p><strong>Episode Highlights:</strong></p><ul>
<li>[02:30] David Corey discusses the economic realities facing the semiconductor industry and the shifting focus on packaging.</li>
<li>[10:45] Dr. Andres Vasvane explains how digital threads streamline product development and the impact of simulation.</li>
<li>[18:00] The importance of a flexible supply chain and how companies are using digital threads to move data more efficiently.</li>
</ul><p>﻿</p><p><strong>Tune In:</strong></p><p>Subscribe to <em>Engineer Innovation Podcast</em> on<a href="https://open.spotify.com/show/58XPQDtKF0Kk9Ig10dbCyN"> Spotify</a>,<a href="https://podcasts.apple.com/us/podcast/engineer-innovation-conversations-about-industry-4/id1570241551"> Apple Podcasts</a>, or<a href="https://cms.megaphone.fm/organizations/a6289a8e-7fdf-11ed-a634-17138ffd504e/podcasts/dc35f9c6-98e6-11ed-a995-b30611167d62/episodes/new#"> </a>wherever you download your podcasts to stay up-to-date with the latest in engineering and technology.</p>]]>
      </content:encoded>
      <itunes:duration>2885</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[573f00f8-6ab0-11ef-96a6-47ff16e9ea97]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE8590379838.mp3?updated=1725453529" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Apollo 13: The Birth of the Digital Twin</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/apollo13/</link>
      <description>On April 13, 1970, 210,000 miles away from Earth (about 330,000 km), three astronauts were suddenly jolted by a "bang-whump-shudder" that shook their tiny spacecraft. One of the astronauts saw the hull physically flex. Within seconds, the cabin was illuminated with warning lights, and a cacophony of alarms rang in their ears.

“Houston, we’ve had a problem,” reported Apollo 13 Commander Jim Lovell.
Something was wrong—seriously wrong. But, unable to see outside of the craft, the astronauts couldn’t grasp the full extent of the damage. With every passing minute, the crippled spacecraft moved another 400 miles away from Earth. In the history of our species, no one had been in this much trouble so far from home. Indeed, a few hours later, they would be farther from home than anyone had ever been, either before or in the 50 years since.

In this special documentary edition of the Engineer Innovation podcast, we explore the role that engineering simulation played in rescuing three American astronauts from near-certain death, turning what could have been NASA’s biggest disaster into its greatest success.

Key Takeaways:

The Apollo 13 mission is more than just a story of survival; it’s a pivotal moment in the history of digital engineering, marking the birth of the digital twin.

Discover how NASA engineers used simulations and real-time data to create a virtual replica of the damaged spacecraft, allowing them to test solutions and guide the crew home.

Explore the lasting impact of this innovation, which has since evolved into a critical tool across industries, from aerospace to manufacturing.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software—where electronics, engineering, and manufacturing come together to shape a better digital future.

If you enjoyed this episode, a 5-star review would be much appreciated. And don’t forget to subscribe on Apple or Spotify to stay updated on future episodes.</description>
      <pubDate>Wed, 21 Aug 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/93b704f6-5f00-11ef-adc4-bf00eafe28cc/image/67924999a9943b82d44eb102b861de3e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>On April 13, 1970, 210,000 miles away from Earth (about 330,000 km), three astronauts were suddenly jolted by a "bang-whump-shudder" that shook their tiny spacecraft. One of the astronauts saw the hull physically flex. Within seconds, the cabin was illuminated with warning lights, and a cacophony of alarms rang in their ears.

“Houston, we’ve had a problem,” reported Apollo 13 Commander Jim Lovell.
Something was wrong—seriously wrong. But, unable to see outside of the craft, the astronauts couldn’t grasp the full extent of the damage. With every passing minute, the crippled spacecraft moved another 400 miles away from Earth. In the history of our species, no one had been in this much trouble so far from home. Indeed, a few hours later, they would be farther from home than anyone had ever been, either before or in the 50 years since.

In this special documentary edition of the Engineer Innovation podcast, we explore the role that engineering simulation played in rescuing three American astronauts from near-certain death, turning what could have been NASA’s biggest disaster into its greatest success.

Key Takeaways:

The Apollo 13 mission is more than just a story of survival; it’s a pivotal moment in the history of digital engineering, marking the birth of the digital twin.

Discover how NASA engineers used simulations and real-time data to create a virtual replica of the damaged spacecraft, allowing them to test solutions and guide the crew home.

Explore the lasting impact of this innovation, which has since evolved into a critical tool across industries, from aerospace to manufacturing.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software—where electronics, engineering, and manufacturing come together to shape a better digital future.

If you enjoyed this episode, a 5-star review would be much appreciated. And don’t forget to subscribe on Apple or Spotify to stay updated on future episodes.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On April 13, 1970, 210,000 miles away from Earth (about 330,000 km), three astronauts were suddenly jolted by a "bang-whump-shudder" that shook their tiny spacecraft. One of the astronauts saw the hull physically flex. Within seconds, the cabin was illuminated with warning lights, and a cacophony of alarms rang in their ears.</p><p><br></p><p>“Houston, we’ve had a problem,” reported Apollo 13 Commander Jim Lovell.</p><p>Something was wrong—seriously wrong. But, unable to see outside of the craft, the astronauts couldn’t grasp the full extent of the damage. With every passing minute, the crippled spacecraft moved another 400 miles away from Earth. In the history of our species, no one had been in this much trouble so far from home. Indeed, a few hours later, they would be farther from home than anyone had ever been, either before or in the 50 years since.</p><p><br></p><p>In this special documentary edition of the <em>Engineer Innovation</em> podcast, we explore the role that engineering simulation played in rescuing three American astronauts from near-certain death, turning what could have been NASA’s biggest disaster into its greatest success.</p><p><br></p><p><strong>Key Takeaways:</strong></p><ul>
<li>The Apollo 13 mission is more than just a story of survival; it’s a pivotal moment in the history of digital engineering, marking the birth of the digital twin.</li>
<li>Discover how NASA engineers used simulations and real-time data to create a virtual replica of the damaged spacecraft, allowing them to test solutions and guide the crew home.</li>
<li>Explore the lasting impact of this innovation, which has since evolved into a critical tool across industries, from aerospace to manufacturing.</li>
</ul><p><br></p><p>This episode of the <em>Engineer Innovation</em> podcast is brought to you by Siemens Digital Industries Software—where electronics, engineering, and manufacturing come together to shape a better digital future.</p><p><br></p><p>If you enjoyed this episode, a 5-star review would be much appreciated. And don’t forget to subscribe on Apple or Spotify to stay updated on future episodes.</p>]]>
      </content:encoded>
      <itunes:duration>1304</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[93b704f6-5f00-11ef-adc4-bf00eafe28cc]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7836508824.mp3?updated=1724755110" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The shockingly vast and complex world of electric arc dynamics with Dr. Roman Fuchs of OST</title>
      <description>In this episode, we’re joined by Dr. Roman Fuchs, a Lecturer at OST. Dr. Fuchs talks about electric arc simulations, their role in electrical engineering and their impact on safety and efficiency in power systems and electric vehicles. Learn about the latest advancements in simulation technology and how they are driving innovation.

Key Takeaways:

- Electric arc simulations help create safer and more reliable electrical systems.
- Understanding high- and low-voltage circuit breakers is key to designing efficient systems.
- Reducing the environmental impact of SF6 gas in high-voltage circuit breakers is important for sustainable engineering.

Resources Mentioned:

Dr. Roman Fuchs - https://www.linkedin.com/in/roman-fuchs-comp-sci/
OST - https://www.linkedin.com/school/ost-ostschweizer-fachhochschule/





This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast



▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.




#Energy #RenewableEnergy #Solarenergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</description>
      <pubDate>Thu, 25 Jul 2024 10:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/310279ea-4a5a-11ef-8ad1-375838a7a9db/image/4df14aa320e96731182c445ea10bcf25.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we’re joined by Dr. Roman Fuchs, a Lecturer at OST. Dr. Fuchs talks about electric arc simulations, their role in electrical engineering and their impact on safety and efficiency in power systems and electric vehicles. Learn about the latest advancements in simulation technology and how they are driving innovation.

Key Takeaways:

- Electric arc simulations help create safer and more reliable electrical systems.
- Understanding high- and low-voltage circuit breakers is key to designing efficient systems.
- Reducing the environmental impact of SF6 gas in high-voltage circuit breakers is important for sustainable engineering.

Resources Mentioned:

Dr. Roman Fuchs - https://www.linkedin.com/in/roman-fuchs-comp-sci/
OST - https://www.linkedin.com/school/ost-ostschweizer-fachhochschule/





This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast



▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.




#Energy #RenewableEnergy #Solarenergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we’re joined by <a href="https://www.linkedin.com/in/roman-fuchs-comp-sci/">Dr. Roman Fuchs</a>, a Lecturer at <a href="https://www.linkedin.com/school/ost-ostschweizer-fachhochschule/">OST</a>. Dr. Fuchs talks about electric arc simulations, their role in electrical engineering and their impact on safety and efficiency in power systems and electric vehicles. Learn about the latest advancements in simulation technology and how they are driving innovation.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p><strong>- </strong>Electric arc simulations help create safer and more reliable electrical systems.</p><p>- Understanding high- and low-voltage circuit breakers is key to designing efficient systems.</p><p>- Reducing the environmental impact of SF6 gas in high-voltage circuit breakers is important for sustainable engineering.</p><p><br></p><p>Resources Mentioned:</p><p><br></p><p><a href="https://www.linkedin.com/in/roman-fuchs-comp-sci/">Dr. Roman Fuchs</a> - https://www.linkedin.com/in/roman-fuchs-comp-sci/</p><p><a href="https://www.linkedin.com/school/ost-ostschweizer-fachhochschule/">OST</a> - https://www.linkedin.com/school/ost-ostschweizer-fachhochschule/</p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast</p><p><br></p><p><br></p><p><br></p><p><strong>▶️ About Simcenter:</strong></p><p><br></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p><br></p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p><br></p><p><br></p><p>#Energy #RenewableEnergy #Solarenergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</p>]]>
      </content:encoded>
      <itunes:duration>1944</itunes:duration>
      <guid isPermaLink="false"><![CDATA[310279ea-4a5a-11ef-8ad1-375838a7a9db]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3452092373.mp3?updated=1721893971" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>From concept to reality: AI and the digital twin at Realize LIVE</title>
      <description>In this episode, we explore artificial intelligence, digital twins and model-based engineering with Chris Stecki, CEO of PHM Technology, and Filbert Arzola, Principal Electrical Engineer of Raytheon SAS. Recorded live at Realize Live 2024 in Munich, we discuss how these technologies are changing the engineering field. 

Learn more about how AI is used in engineering, the effects of digital twins on product development, and future engineering innovations.

Key Takeaways:


AI in engineering requires critical domain knowledge and cannot replace engineering expertise.

Digital twins have a transformative impact on engineering practices, especially in PCB design, by enabling simulation and model-based approaches.

AI’s role in engineering processes must include human oversight to ensure accuracy and reliability. 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#Elearning #Training #Learning #LearningAndDevelopment #Certification #Learn</description>
      <pubDate>Wed, 10 Jul 2024 13:20:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39e03de6-3ebf-11ef-8266-17f91e427ba0/image/3d108eaf82154504e5fec2c05fb859ed.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we explore artificial intelligence, digital twins and model-based engineering with Chris Stecki, CEO of PHM Technology, and Filbert Arzola, Principal Electrical Engineer of Raytheon SAS. Recorded live at Realize Live 2024 in Munich, we discuss how these technologies are changing the engineering field. 

Learn more about how AI is used in engineering, the effects of digital twins on product development, and future engineering innovations.

Key Takeaways:


AI in engineering requires critical domain knowledge and cannot replace engineering expertise.

Digital twins have a transformative impact on engineering practices, especially in PCB design, by enabling simulation and model-based approaches.

AI’s role in engineering processes must include human oversight to ensure accuracy and reliability. 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#Elearning #Training #Learning #LearningAndDevelopment #Certification #Learn</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we explore artificial intelligence, digital twins and model-based engineering with <a href="https://www.linkedin.com/in/chris-stecki-9b38003/">Chris Stecki,</a> CEO of <a href="https://www.linkedin.com/company/phm-technology/">PHM Technology</a>, and <a href="https://www.linkedin.com/in/filbert-arzola-8b84b48/">Filbert Arzola</a>, Principal Electrical Engineer of Raytheon SAS. Recorded live at Realize Live 2024 in Munich, we discuss how these technologies are changing the engineering field. </p><p><br></p><p>Learn more about how AI is used in engineering, the effects of digital twins on product development, and future engineering innovations.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><ul>
<li>AI in engineering requires critical domain knowledge and cannot replace engineering expertise.</li>
<li>Digital twins have a transformative impact on engineering practices, especially in PCB design, by enabling simulation and model-based approaches.</li>
<li>AI’s role in engineering processes must include human oversight to ensure accuracy and reliability. </li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p><br></p><p>▶️ About Simcenter:</p><p><br></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p><br></p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p>#Elearning #Training #Learning #LearningAndDevelopment #Certification #Learn</p>]]>
      </content:encoded>
      <itunes:duration>2129</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[39e03de6-3ebf-11ef-8266-17f91e427ba0]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7867244452.mp3?updated=1720618750" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Sky's not the limit: AI and data management redefining space exploration </title>
      <description>In this episode, recorded at Realize LIVE Americas 2024, we’re joined by Tom Stoumbos, Director of Engineering at Northrop Grumman. We delve into the fascinating world of space exploration and the intricate technologies behind space vehicles and satellite systems. Tom leads a team of simulation and test engineers and reveals the complexities of designing for the cosmos, from servicing commercial satellites to supporting ambitious lunar missions. Learn about the vital role of simulation in overcoming the challenges of deep space, the innovative refueling technologies in development, and the potential of AI and machine learning in pioneering the next era of space travel. Don't miss the insights from a leading mind in aerospace engineering, where every mission pushes the boundaries of human achievement and ignites our imagination for the final frontier.

Key Takeaways

The role of simulation in the design and testing of space vehicles and satellite systems 

Establishing infrastructure on the moon is a critical steppingstone for deep space missions due to the reduced power required to launch from the moon compared to Earth

The challenges associated with space exploration include the need for accurate simulations and the management of vast amounts of data. Machine learning and AI can help process and analyze this data more efficiently.

The importance of collaboration between industry and academia

Predicting the establishment of a lunar orbiting lab in the next few years and possible lunar infrastructure within the next 15 years.

 
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
 
▶️ About Simcenter: 
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.
#Aerospace  #AerospaceEngineering  #SimcenterSimulationDriven-Design</description>
      <pubDate>Wed, 19 Jun 2024 07:00:00 -0000</pubDate>
      <itunes:title>Sky's not the limit: AI and data management redefining space exploration with Tom Stoumbos</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6400bc7e-2d5b-11ef-ba09-13f2f6ed937e/image/13ef8d165a0b4ad74a8ef65954c54a39.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, recorded at Realize LIVE Americas 2024, we’re joined by Tom Stoumbos, Director of Engineering at Northrop Grumman. We delve into the fascinating world of space exploration and the intricate technologies behind space vehicles and satellite systems. Tom leads a team of simulation and test engineers and reveals the complexities of designing for the cosmos, from servicing commercial satellites to supporting ambitious lunar missions. Learn about the vital role of simulation in overcoming the challenges of deep space, the innovative refueling technologies in development, and the potential of AI and machine learning in pioneering the next era of space travel. Don't miss the insights from a leading mind in aerospace engineering, where every mission pushes the boundaries of human achievement and ignites our imagination for the final frontier.

Key Takeaways

The role of simulation in the design and testing of space vehicles and satellite systems 

Establishing infrastructure on the moon is a critical steppingstone for deep space missions due to the reduced power required to launch from the moon compared to Earth

The challenges associated with space exploration include the need for accurate simulations and the management of vast amounts of data. Machine learning and AI can help process and analyze this data more efficiently.

The importance of collaboration between industry and academia

Predicting the establishment of a lunar orbiting lab in the next few years and possible lunar infrastructure within the next 15 years.

 
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
 
▶️ About Simcenter: 
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.
#Aerospace  #AerospaceEngineering  #SimcenterSimulationDriven-Design</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, recorded at Realize LIVE Americas 2024, we’re joined by <a href="https://www.linkedin.com/in/dr-tom-stoumbos-4041147/">Tom Stoumbos</a>, Director of Engineering at <a href="https://www.linkedin.com/company/northrop-grumman-corporation/">Northrop Grumman</a>. We delve into the fascinating world of space exploration and the intricate technologies behind space vehicles and satellite systems. Tom leads a team of simulation and test engineers and reveals the complexities of designing for the cosmos, from servicing commercial satellites to supporting ambitious lunar missions. Learn about the vital role of simulation in overcoming the challenges of deep space, the innovative refueling technologies in development, and the potential of AI and machine learning in pioneering the next era of space travel. Don't miss the insights from a leading mind in aerospace engineering, where every mission pushes the boundaries of human achievement and ignites our imagination for the final frontier.</p><p><br></p><p>Key Takeaways</p><ul>
<li>The role of simulation in the design and testing of space vehicles and satellite systems </li>
<li>Establishing infrastructure on the moon is a critical steppingstone for deep space missions due to the reduced power required to launch from the moon compared to Earth</li>
<li>The challenges associated with space exploration include the need for accurate simulations and the management of vast amounts of data. Machine learning and AI can help process and analyze this data more efficiently.</li>
<li>The importance of collaboration between industry and academia</li>
<li>Predicting the establishment of a lunar orbiting lab in the next few years and possible lunar infrastructure within the next 15 years.</li>
</ul><p> </p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p> </p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p> </p><p>▶️ About Simcenter: </p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p>#Aerospace  #AerospaceEngineering  #SimcenterSimulationDriven-Design</p>]]>
      </content:encoded>
      <itunes:duration>2411</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6400bc7e-2d5b-11ef-ba09-13f2f6ed937e]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6959063198.mp3?updated=1718705902" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Advancing corrosion analysis in aerospace with Alan Rose of Corrdesa LLC</title>
      <description>In this episode, we look at the critical role of corrosion analysis in industry innovation with Alan Rose, CEO of Corrdesa LLC. Explore the complexities of simulating corrosion processes and how these techniques are paving the way for safer and more efficient engineering practices across sectors. Alan Rose brings his extensive expertise to discuss advancements in corrosion simulation, its economic impact, and the future of materials testing.

Key Takeaways:

- The evolution of corrosion analysis from physical tests to advanced simulations and its significance in reducing operational costs.
- Insights into the collaboration between Corrdesa LLC and Siemens, with a focus on integrating simulation technologies for enhanced corrosion management.
- The importance of accurate data in driving the effectiveness of corrosion simulations and the development of new materials.

Resources Mentioned:

Alan Rose - https://www.linkedin.com/in/atlantarose/
Corrdesa LLC - https://www.linkedin.com/company/corrdesa-llc/


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.


If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.



#Aviation #Aerospace #AircraftMaintenance #AerospaceEngineering  #SimcenterSimulationDriven-Design</description>
      <pubDate>Wed, 12 Jun 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/edb8dc1c-289c-11ef-a9bd-ab72cee2a4b7/image/e83b834d1b1e7c8f40a4a44e8563868b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we look at the critical role of corrosion analysis in industry innovation with Alan Rose, CEO of Corrdesa LLC. Explore the complexities of simulating corrosion processes and how these techniques are paving the way for safer and more efficient engineering practices across sectors. Alan Rose brings his extensive expertise to discuss advancements in corrosion simulation, its economic impact, and the future of materials testing.

Key Takeaways:

- The evolution of corrosion analysis from physical tests to advanced simulations and its significance in reducing operational costs.
- Insights into the collaboration between Corrdesa LLC and Siemens, with a focus on integrating simulation technologies for enhanced corrosion management.
- The importance of accurate data in driving the effectiveness of corrosion simulations and the development of new materials.

Resources Mentioned:

Alan Rose - https://www.linkedin.com/in/atlantarose/
Corrdesa LLC - https://www.linkedin.com/company/corrdesa-llc/


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.


If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.



#Aviation #Aerospace #AircraftMaintenance #AerospaceEngineering  #SimcenterSimulationDriven-Design</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we look at the critical role of corrosion analysis in industry innovation with <a href="https://www.linkedin.com/in/atlantarose/">Alan Rose</a>, CEO of <a href="https://www.linkedin.com/company/corrdesa-llc/">Corrdesa LLC</a>. Explore the complexities of simulating corrosion processes and how these techniques are paving the way for safer and more efficient engineering practices across sectors. Alan Rose brings his extensive expertise to discuss advancements in corrosion simulation, its economic impact, and the future of materials testing.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p><strong>- </strong>The evolution of corrosion analysis from physical tests to advanced simulations and its significance in reducing operational costs.</p><p>- Insights into the collaboration between Corrdesa LLC and Siemens, with a focus on integrating simulation technologies for enhanced corrosion management.</p><p>- The importance of accurate data in driving the effectiveness of corrosion simulations and the development of new materials.</p><p><br></p><p>Resources Mentioned:</p><p><br></p><p><a href="https://www.linkedin.com/in/atlantarose/">Alan Rose</a> - https://www.linkedin.com/in/atlantarose/</p><p><a href="https://www.linkedin.com/company/corrdesa-llc/">Corrdesa LLC</a> - https://www.linkedin.com/company/corrdesa-llc/</p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p>▶️ About Simcenter:</p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p><br></p><p>#Aviation #Aerospace #AircraftMaintenance #AerospaceEngineering  #SimcenterSimulationDriven-Design</p>]]>
      </content:encoded>
      <itunes:duration>2142</itunes:duration>
      <guid isPermaLink="false"><![CDATA[edb8dc1c-289c-11ef-a9bd-ab72cee2a4b7]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1223966689.mp3?updated=1718184295" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>100,000 Simulations a Day! AI Powered Simulation with PhysicsX</title>
      <description>Our customers can do 100,000 simulations in a day no problem” is the quote that
you’ll hear from PhysicsX co-founder Robin Tuluie at the start of this podcast.

We spend a lot of time on the Engineer Innovation Podcast trying to work out what the future of engineering simulation will look like, particularly with regard
to Machine Learning, Artificial Intelligence and the Digital Twin.

This episode provides the clearest view of the future. And what’s better is that
it’s available today.

In the podcast Robin and Nico explain it better than I can, but PhysicsX use “Deep
Learning Surrogates”, which are AI models that are trained using engineering
simulations (such as CFD or FEA) but are then capable of – almost instantly –
producing thousands of “CFD quality” surrogate solutions. It’s the closest
we’ve ever got to “real time CFD”.

I started off this interview by being slightly skeptical about some of the claims - after all there is an enormous amount of hype surrounding AI - but by the end I was utterly convinced that the sort of technology that Physics X is set to absolutely revolutionize, and massively increase the impact of engineering simulation, and its ability to solve the huge challenges that our species is facing.

This episode of the Engineer Innovation podcast is brought to you by  Siemens Digital Industries Software — bringing electronics, engineering and manufacturing
together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
 
▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</description>
      <pubDate>Wed, 29 May 2024 11:43:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/c27218bc-183d-11ef-a4c5-4f73ade56aa5/image/9d4bd386fcb586feb3ffeae05cbf74b7.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Our customers can do 100,000 simulations in a day no problem” is the quote that
you’ll hear from PhysicsX co-founder Robin Tuluie at the start of this podcast.

We spend a lot of time on the Engineer Innovation Podcast trying to work out what the future of engineering simulation will look like, particularly with regard
to Machine Learning, Artificial Intelligence and the Digital Twin.

This episode provides the clearest view of the future. And what’s better is that
it’s available today.

In the podcast Robin and Nico explain it better than I can, but PhysicsX use “Deep
Learning Surrogates”, which are AI models that are trained using engineering
simulations (such as CFD or FEA) but are then capable of – almost instantly –
producing thousands of “CFD quality” surrogate solutions. It’s the closest
we’ve ever got to “real time CFD”.

I started off this interview by being slightly skeptical about some of the claims - after all there is an enormous amount of hype surrounding AI - but by the end I was utterly convinced that the sort of technology that Physics X is set to absolutely revolutionize, and massively increase the impact of engineering simulation, and its ability to solve the huge challenges that our species is facing.

This episode of the Engineer Innovation podcast is brought to you by  Siemens Digital Industries Software — bringing electronics, engineering and manufacturing
together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
 
▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our customers can do 100,000 simulations in a day no problem” is the quote that</p><p>you’ll hear from PhysicsX co-founder Robin Tuluie at the start of this podcast.</p><p><br></p><p>We spend a lot of time on the Engineer Innovation Podcast trying to work out what the future of engineering simulation will look like, particularly with regard</p><p>to Machine Learning, Artificial Intelligence and the Digital Twin.</p><p><br></p><p>This episode provides the clearest view of the future. And what’s better is that</p><p>it’s available today.</p><p><br></p><p>In the podcast Robin and Nico explain it better than I can, but PhysicsX use “Deep</p><p>Learning Surrogates”, which are AI models that are trained using engineering</p><p>simulations (such as CFD or FEA) but are then capable of – almost instantly –</p><p>producing thousands of “CFD quality” surrogate solutions. It’s the closest</p><p>we’ve ever got to “real time CFD”.</p><p><br></p><p>I started off this interview by being slightly skeptical about some of the claims - after all there is an enormous amount of hype surrounding AI - but by the end I was utterly convinced that the sort of technology that Physics X is set to absolutely revolutionize, and massively increase the impact of engineering simulation, and its ability to solve the huge challenges that our species is facing.</p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by <a href="https://www.sw.siemens.com/en-US/"> Siemens Digital Industries Software</a> — bringing electronics, engineering and manufacturing</p><p>together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="https://blogs.sw.siemens.com/podcasts/category/engineer-innovation/">siemens.com/simcenter-podcast</a></p><p> </p><p>▶️<a href="https://plm.sw.siemens.com/en-US/simcenter/"> About Simcenter:</a></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p><br></p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p>]]>
      </content:encoded>
      <itunes:duration>2818</itunes:duration>
      <guid isPermaLink="false"><![CDATA[c27218bc-183d-11ef-a4c5-4f73ade56aa5]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2294614857.mp3?updated=1716983331" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Advancing Healthcare Technology Through Simulation with André Gasko of B&amp;W Engineering</title>
      <description>In this episode, we’re joined by André Gasko, Simulation Engineer at B&amp;W Engineering, to explore the intersection of engineering simulations with real-world applications in electric vehicles and medical devices. With a focus on thermal management and simulation efficiencies, André provides insights into how these technologies shape the development and optimization of complex systems in various sectors.

Key Takeaways:

- Transition challenges between sectors are guaranteed, so solution strategies are a must.
- Exploration of thermal management in medical devices illustrates cutting-edge engineering practices.
- Simulations play a vital role in reducing developmental costs and timelines. 

Resources Mentioned:

André Gasko - https://www.linkedin.com/in/andr%C3%A9-gasko-25a342131/?originalSubdomain=de
B&amp;W Engineering - https://www.linkedin.com/company/b-&amp;-w-engineering-und-datensysteme-gmbh/


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#MedicalDevices #Medical #ElectricVehicle #Automotive #Healthcare</description>
      <pubDate>Wed, 15 May 2024 11:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8165b36e-12a8-11ef-922a-775d2bed0042/image/981ad5a9e959db5b8102be299fc73196.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we’re joined by André Gasko, Simulation Engineer at B&amp;W Engineering, to explore the intersection of engineering simulations with real-world applications in electric vehicles and medical devices. With a focus on thermal management and simulation efficiencies, André provides insights into how these technologies shape the development and optimization of complex systems in various sectors.

Key Takeaways:

- Transition challenges between sectors are guaranteed, so solution strategies are a must.
- Exploration of thermal management in medical devices illustrates cutting-edge engineering practices.
- Simulations play a vital role in reducing developmental costs and timelines. 

Resources Mentioned:

André Gasko - https://www.linkedin.com/in/andr%C3%A9-gasko-25a342131/?originalSubdomain=de
B&amp;W Engineering - https://www.linkedin.com/company/b-&amp;-w-engineering-und-datensysteme-gmbh/


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#MedicalDevices #Medical #ElectricVehicle #Automotive #Healthcare</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we’re joined by <a href="https://www.linkedin.com/in/andr%C3%A9-gasko-25a342131/?originalSubdomain=de">André Gasko</a>, Simulation Engineer at <a href="https://www.linkedin.com/company/b-&amp;-w-engineering-und-datensysteme-gmbh/">B&amp;W Engineering</a>, to explore the intersection of engineering simulations with real-world applications in electric vehicles and medical devices. With a focus on thermal management and simulation efficiencies, André provides insights into how these technologies shape the development and optimization of complex systems in various sectors.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p><strong>- </strong>Transition challenges between sectors are guaranteed, so solution strategies are a must.</p><p>- Exploration of thermal management in medical devices illustrates cutting-edge engineering practices.</p><p>- Simulations play a vital role in reducing developmental costs and timelines. </p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><br></p><p><a href="https://www.linkedin.com/in/andr%C3%A9-gasko-25a342131/?originalSubdomain=de">André Gasko</a> - https://www.linkedin.com/in/andr%C3%A9-gasko-25a342131/?originalSubdomain=de</p><p><a href="https://www.linkedin.com/company/b-&amp;-w-engineering-und-datensysteme-gmbh/">B&amp;W Engineering</a> - https://www.linkedin.com/company/b-&amp;-w-engineering-und-datensysteme-gmbh/</p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by<a href="https://www.sw.siemens.com/en-US/"> Siemens Digital Industries Software</a> — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to<a href="https://blogs.sw.siemens.com/podcasts/category/engineer-innovation/"> siemens.com/simcenter-podcast</a></p><p><br></p><p>▶️<a href="https://plm.sw.siemens.com/en-US/simcenter/"> About Simcenter:</a></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p>#MedicalDevices #Medical #ElectricVehicle #Automotive #Healthcare</p>]]>
      </content:encoded>
      <itunes:duration>2214</itunes:duration>
      <guid isPermaLink="false"><![CDATA[8165b36e-12a8-11ef-922a-775d2bed0042]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6363965084.mp3?updated=1715771239" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Failure Is Not an Option: Digital Transformation in Mission Assurance with Nancy Lindsey and Todd Tuthill</title>
      <description>In this episode, listeners are treated to a profound discussion on aerospace innovation and digital transformation with Nancy Lindsey, a NASA technical expert in reliability, maintainability, and availability, and Todd Tuthill, Vice President for the aerospace, defense and marine industry at Siemens Digital Industries Software. They delve into the complexities of mission assurance, the importance of digital tools in aerospace, and the future of space exploration.

Key Takeaways:


Nancy Lindsey discusses the evolution of digital transformation at NASA and its impact on mission assurance. 

Todd Tuthill shares insights into the digital transition from paper-based systems to sophisticated model-based systems in aerospace engineering.

Exploration of redundancy and its critical role in designing spacecraft to ensure mission success and safety.


Relevant links:

Nancy Lindsey - https://www.linkedin.com/in/nancy-lindsey-topping-52965230/
NASA - https://www.linkedin.com/company/nasa-goddard-space-flight-center/
Todd Tuthill - https://www.linkedin.com/in/toddtuthill/
Siemens Digital Industries Software - https://www.linkedin.com/company/siemenssoftware/

﻿This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software (https://www.sw.siemens.com/en-US/) — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter -
https://plm.sw.siemens.com/en-US/simcenter/

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#Aerospace #AerospaceIndustries #AerospaceEngineering #Space #SpaceExploration #NASA #FutureOfAeroSpace #AI #Automation #SimcenterSpaceCraft #SimcenterSpaceSystems </description>
      <pubDate>Wed, 01 May 2024 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bddddd32-0757-11ef-9e13-bb10623e8d58/image/0cf72df4e57488ebaab3b905954dfcc2.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, listeners are treated to a profound discussion on aerospace innovation and digital transformation with Nancy Lindsey, a NASA technical expert in reliability, maintainability, and availability, and Todd Tuthill, Vice President for the aerospace, defense and marine industry at Siemens Digital Industries Software. They delve into the complexities of mission assurance, the importance of digital tools in aerospace, and the future of space exploration.

Key Takeaways:


Nancy Lindsey discusses the evolution of digital transformation at NASA and its impact on mission assurance. 

Todd Tuthill shares insights into the digital transition from paper-based systems to sophisticated model-based systems in aerospace engineering.

Exploration of redundancy and its critical role in designing spacecraft to ensure mission success and safety.


Relevant links:

Nancy Lindsey - https://www.linkedin.com/in/nancy-lindsey-topping-52965230/
NASA - https://www.linkedin.com/company/nasa-goddard-space-flight-center/
Todd Tuthill - https://www.linkedin.com/in/toddtuthill/
Siemens Digital Industries Software - https://www.linkedin.com/company/siemenssoftware/

﻿This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software (https://www.sw.siemens.com/en-US/) — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter -
https://plm.sw.siemens.com/en-US/simcenter/

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#Aerospace #AerospaceIndustries #AerospaceEngineering #Space #SpaceExploration #NASA #FutureOfAeroSpace #AI #Automation #SimcenterSpaceCraft #SimcenterSpaceSystems </itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, listeners are treated to a profound discussion on aerospace innovation and digital transformation with <a href="https://www.linkedin.com/in/nancy-lindsey-topping-52965230/">Nancy Lindsey</a>, a <a href="https://www.linkedin.com/company/nasa-goddard-space-flight-center/">NASA</a> technical expert in reliability, maintainability, and availability, and <a href="https://www.linkedin.com/in/toddtuthill/">Todd Tuthill</a>, Vice President for the aerospace, defense and marine industry at <a href="https://www.linkedin.com/company/siemenssoftware/">Siemens Digital Industries Software</a>. They delve into the complexities of mission assurance, the importance of digital tools in aerospace, and the future of space exploration.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><ul>
<li>Nancy Lindsey discusses the evolution of digital transformation at NASA and its impact on mission assurance. </li>
<li>Todd Tuthill shares insights into the digital transition from paper-based systems to sophisticated model-based systems in aerospace engineering.</li>
<li>Exploration of redundancy and its critical role in designing spacecraft to ensure mission success and safety.</li>
</ul><p><br></p><p>Relevant links:</p><p><br></p><p><a href="https://www.linkedin.com/in/nancy-lindsey-topping-52965230/">Nancy Lindsey</a> - https://www.linkedin.com/in/nancy-lindsey-topping-52965230/</p><p><a href="https://www.linkedin.com/company/nasa-goddard-space-flight-center/">NASA</a> - https://www.linkedin.com/company/nasa-goddard-space-flight-center/</p><p><a href="https://www.linkedin.com/in/toddtuthill/">Todd Tuthill</a> - https://www.linkedin.com/in/toddtuthill/</p><p><a href="https://www.linkedin.com/company/siemenssoftware/">Siemens Digital Industries Software</a> - https://www.linkedin.com/company/siemenssoftware/</p><p><br></p><p>﻿This episode of the Engineer Innovation podcast is brought to you by <a href="https://www.sw.siemens.com/en-US/">Siemens Digital Industries Software</a> (<a href="https://www.sw.siemens.com/en-US/">https://www.sw.siemens.com/en-US</a>/) — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p>▶️ About <a href="https://plm.sw.siemens.com/en-US/simcenter/">Simcenter</a> -</p><p><a href="https://plm.sw.siemens.com/en-US/simcenter/">https://plm.sw.siemens.com/en-US/simcenter/</a></p><p><br></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p>#Aerospace #AerospaceIndustries #AerospaceEngineering #Space #SpaceExploration #NASA #FutureOfAeroSpace #AI #Automation #SimcenterSpaceCraft #SimcenterSpaceSystems </p>]]>
      </content:encoded>
      <itunes:duration>3720</itunes:duration>
      <guid isPermaLink="false"><![CDATA[bddddd32-0757-11ef-9e13-bb10623e8d58]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4094575051.mp3?updated=1714678521" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineering Evolution: Nature-Inspired Solutions with Mark Price</title>
      <description>In this episode, we look at the intriguing world of bio-inspired design with Mark Price, Professor of Aeronautics at Queen's University Belfast and Research Initiative Co-Founder at Biohaviour. 

Exploring the intersection of nature, engineering and innovation, Mark shares his extensive experience in aeronautics and his research into bio-inspired rules for innovative engineering design. This episode contains significant insights into multidisciplinary problem-solving, the evolution of engineering processes and the integration of nature's principles into modern design methodologies. 

Key Takeaways:

Computational tools impact evolving engineering practices.

Bio-inspired design can positively influence innovative engineering solutions.

The future of engineering design includes bio-inspired and evolutionary principles.



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


#Aerospace #AerospaceIndustries #AerospaceManufacturing #AI #FutureOfMobility #FutureOfAeroSpace</description>
      <pubDate>Wed, 17 Apr 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/88439122-fb53-11ee-94c7-bf79e9d2eba9/image/dc014b097f0d6434131db56ceb6598ad.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we look at the intriguing world of bio-inspired design with Mark Price, Professor of Aeronautics at Queen's University Belfast and Research Initiative Co-Founder at Biohaviour. 

Exploring the intersection of nature, engineering and innovation, Mark shares his extensive experience in aeronautics and his research into bio-inspired rules for innovative engineering design. This episode contains significant insights into multidisciplinary problem-solving, the evolution of engineering processes and the integration of nature's principles into modern design methodologies. 

Key Takeaways:

Computational tools impact evolving engineering practices.

Bio-inspired design can positively influence innovative engineering solutions.

The future of engineering design includes bio-inspired and evolutionary principles.



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


#Aerospace #AerospaceIndustries #AerospaceManufacturing #AI #FutureOfMobility #FutureOfAeroSpace</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we look at the intriguing world of bio-inspired design with <a href="https://www.linkedin.com/in/mark-price-02386213/?originalSubdomain=uk">Mark Price</a>, Professor of Aeronautics at <a href="https://www.linkedin.com/school/queen's-university-belfast/">Queen's University Belfast</a> and Research Initiative Co-Founder at <a href="https://www.linkedin.com/company/biohaviour/">Biohaviour</a>. </p><p><br></p><p>Exploring the intersection of nature, engineering and innovation, Mark shares his extensive experience in aeronautics and his research into bio-inspired rules for innovative engineering design. This episode contains significant insights into multidisciplinary problem-solving, the evolution of engineering processes and the integration of nature's principles into modern design methodologies. </p><p><br></p><p><strong>Key Takeaways:</strong></p><ul>
<li>Computational tools impact evolving engineering practices.</li>
<li>Bio-inspired design can positively influence innovative engineering solutions.</li>
<li>The future of engineering design includes bio-inspired and evolutionary principles.</li>
</ul><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p><br></p><p>#Aerospace #AerospaceIndustries #AerospaceManufacturing #AI #FutureOfMobility #FutureOfAeroSpace</p>]]>
      </content:encoded>
      <itunes:duration>2457</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[88439122-fb53-11ee-94c7-bf79e9d2eba9]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3724015862.mp3?updated=1713269283" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Generative AI Doesn’t Care About Your Ego with Joanna Peña-Bickley</title>
      <description>In this episode, we explore AI innovation and the journey of women in engineering with Joanna Peña-Bickley, Co-Founder and CEO of Vibes Ai; Co-Founder and Board Member of EarthDNA; and Founder and Fellow of Ai Design Corps™. Joanna is a design engineer and also a pioneer in the use of AI in industry. She has worked for Amazon, Uber and IBM and is known as the mother of cognitive experience design.

Key Takeaways:

Generative AI's unique attributes, such as lack of ego, can revolutionize creative industries and processes.

The journey of AI technologies, like Alexa and ChatGPT, toward widespread adoption illustrates the gradual acceptance and integration of AI into daily life.

Human-centered design plays a critical role in creating groundbreaking technologies.

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#AI #Automation #HomeApplianceSimulation #HomeApplianceEngineering</description>
      <pubDate>Wed, 03 Apr 2024 12:50:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bf0d3a18-f1b8-11ee-8ccd-5fe19f455047/image/73dcff0c80764652025335ed0a0b537d.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we explore AI innovation and the journey of women in engineering with Joanna Peña-Bickley, Co-Founder and CEO of Vibes Ai; Co-Founder and Board Member of EarthDNA; and Founder and Fellow of Ai Design Corps™. Joanna is a design engineer and also a pioneer in the use of AI in industry. She has worked for Amazon, Uber and IBM and is known as the mother of cognitive experience design.

Key Takeaways:

Generative AI's unique attributes, such as lack of ego, can revolutionize creative industries and processes.

The journey of AI technologies, like Alexa and ChatGPT, toward widespread adoption illustrates the gradual acceptance and integration of AI into daily life.

Human-centered design plays a critical role in creating groundbreaking technologies.

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


#AI #Automation #HomeApplianceSimulation #HomeApplianceEngineering</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we explore AI innovation and the journey of women in engineering with <a href="https://www.linkedin.com/in/joannapenabickley/">Joanna Peña-Bickley</a>, Co-Founder and CEO of <a href="https://www.linkedin.com/company/vibes-ai/">Vibes Ai</a>; Co-Founder and Board Member of <a href="https://www.linkedin.com/company/earthdna/">EarthDNA</a>; and Founder and Fellow of <a href="https://www.linkedin.com/company/aidesigncorps/">Ai Design Corps</a>™. Joanna is a design engineer and also a pioneer in the use of AI in industry. She has worked for Amazon, Uber and IBM and is known as the mother of cognitive experience design.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><ul><li>Generative AI's unique attributes, such as lack of ego, can revolutionize creative industries and processes.</li></ul><p><br></p><ul><li>The journey of AI technologies, like Alexa and ChatGPT, toward widespread adoption illustrates the gradual acceptance and integration of AI into daily life.</li></ul><p><br></p><ul><li>Human-centered design plays a critical role in creating groundbreaking technologies.</li></ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p>▶️ About Simcenter:</p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p>#AI #Automation #HomeApplianceSimulation #HomeApplianceEngineering</p>]]>
      </content:encoded>
      <itunes:duration>2453</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bf0d3a18-f1b8-11ee-8ccd-5fe19f455047]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3870362631.mp3?updated=1712148929" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Role of Simulation Engineers in Our AI Tomorrow with Dr. Gabriele Pozzetti</title>
      <description>In this episode, join us as we explore the intersection of artificial intelligence, engineering and innovation with Dr. Gabriele Pozzetti, Reformed CFD Engineer and AI Expert. With a rich background in both the theoretical and practical aspects of AI, Gabriele provides insights into how AI is reshaping industries and what the future holds for engineers and technologists alike. 

Key Takeaways:﻿


Gabriele explores AI's transformative impact on engineering, highlighting innovation and the development of new solutions.

Insights on integrating AI into digital strategies underscore its pivotal role in enhancing operational efficiencies and fostering innovation.

Discussion on ethical AI and future trends emphasizes responsible innovation and the importance of ethics in AI's evolution.



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


 


#AI #Automation #IntelligentAutomation #Productivity #Machinery</description>
      <pubDate>Wed, 20 Mar 2024 11:07:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b8df9ef6-e5f1-11ee-85f1-f3ebfa8c36c3/image/5879ee15e8c4f14518d403286c916974.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, join us as we explore the intersection of artificial intelligence, engineering and innovation with Dr. Gabriele Pozzetti, Reformed CFD Engineer and AI Expert. With a rich background in both the theoretical and practical aspects of AI, Gabriele provides insights into how AI is reshaping industries and what the future holds for engineers and technologists alike. 

Key Takeaways:﻿


Gabriele explores AI's transformative impact on engineering, highlighting innovation and the development of new solutions.

Insights on integrating AI into digital strategies underscore its pivotal role in enhancing operational efficiencies and fostering innovation.

Discussion on ethical AI and future trends emphasizes responsible innovation and the importance of ethics in AI's evolution.



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast


▶️ About Simcenter:

Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.


 


#AI #Automation #IntelligentAutomation #Productivity #Machinery</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, join us as we explore the intersection of artificial intelligence, engineering and innovation with Dr. Gabriele Pozzetti, Reformed CFD Engineer and AI Expert. With a rich background in both the theoretical and practical aspects of AI, Gabriele provides insights into how AI is reshaping industries and what the future holds for engineers and technologists alike. </p><p><br></p><p><strong>Key Takeaways:﻿</strong></p><p><br></p><ul>
<li>Gabriele explores AI's transformative impact on engineering, highlighting innovation and the development of new solutions.</li>
<li>Insights on integrating AI into digital strategies underscore its pivotal role in enhancing operational efficiencies and fostering innovation.</li>
<li>Discussion on ethical AI and future trends emphasizes responsible innovation and the importance of ethics in AI's evolution.</li>
</ul><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p><br></p><p><br></p><p>▶️ About Simcenter:</p><p><br></p><p>Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.</p><p><br></p><p>Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.</p><p><br></p><p><br></p><p><strong> </strong></p><p><br></p><p><br></p><p>#AI #Automation #IntelligentAutomation #Productivity #Machinery</p>]]>
      </content:encoded>
      <itunes:duration>2422</itunes:duration>
      <guid isPermaLink="false"><![CDATA[b8df9ef6-e5f1-11ee-85f1-f3ebfa8c36c3]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE5146041595.mp3?updated=1710940897" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Charging Ahead: Energica’s Electric Vision with Giampiero Testoni</title>
      <description>In this episode, we’re joined by Giampiero Testoni, Chief Technology Officer of Energica Motor Company, a leading company in the electric motorcycle sector. Giampiero shares insights into the development of high-performance electric motorcycles and Energica’s commitment to sustainability and innovation in the industry.

Key Takeaways:

 (01:53) High-performance electric bikes aim to attract petrol enthusiasts.
 (04:06) Energica exclusively develops electric motorcycles to lead the market.
 (09:26) A diverse product line caters to different riding experiences.
 (13:31) Weight distribution is crucial for electric motorcycle performance.
 (20:05) Advanced simulation reduces time to market.
 (25:08) Aerodynamics improves range without bigger batteries.
 (33:07)  Police and emergency services adopt Energica bikes.

Resources Mentioned:

Giampiero Testoni - https://www.linkedin.com/in/giampiero-testoni-a79a8b32/?originalSubdomain=it
Energica Motor Company - https://www.energicamotor.com/us/



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.



#Manufacturing #Aerodynamics #Fuel #Tires #Road #Transportation</description>
      <pubDate>Wed, 06 Mar 2024 12:59:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/77441a84-db57-11ee-8982-3773cfe1b1bf/image/a359b05892d03c481fc41fdab3da8c50.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we’re joined by Giampiero Testoni, Chief Technology Officer of Energica Motor Company, a leading company in the electric motorcycle sector. Giampiero shares insights into the development of high-performance electric motorcycles and Energica’s commitment to sustainability and innovation in the industry.

Key Takeaways:

 (01:53) High-performance electric bikes aim to attract petrol enthusiasts.
 (04:06) Energica exclusively develops electric motorcycles to lead the market.
 (09:26) A diverse product line caters to different riding experiences.
 (13:31) Weight distribution is crucial for electric motorcycle performance.
 (20:05) Advanced simulation reduces time to market.
 (25:08) Aerodynamics improves range without bigger batteries.
 (33:07)  Police and emergency services adopt Energica bikes.

Resources Mentioned:

Giampiero Testoni - https://www.linkedin.com/in/giampiero-testoni-a79a8b32/?originalSubdomain=it
Energica Motor Company - https://www.energicamotor.com/us/



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.



#Manufacturing #Aerodynamics #Fuel #Tires #Road #Transportation</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we’re joined by <a href="https://www.linkedin.com/in/giampiero-testoni-a79a8b32/?originalSubdomain=it">Giampiero Testoni</a>, Chief Technology Officer of <a href="https://www.linkedin.com/company/energicamotorcompanys.p.a/">Energica Motor Company</a>, a leading company in the electric motorcycle sector. Giampiero shares insights into the development of high-performance electric motorcycles and Energica’s commitment to sustainability and innovation in the industry.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p> (01:53) High-performance electric bikes aim to attract petrol enthusiasts.</p><p> (04:06) Energica exclusively develops electric motorcycles to lead the market.</p><p> (09:26) A diverse product line caters to different riding experiences.</p><p> (13:31) Weight distribution is crucial for electric motorcycle performance.</p><p> (20:05) Advanced simulation reduces time to market.</p><p> (25:08) Aerodynamics improves range without bigger batteries.</p><p> (33:07)  Police and emergency services adopt Energica bikes.</p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><br></p><p><a href="https://www.linkedin.com/in/giampiero-testoni-a79a8b32/?originalSubdomain=it">Giampiero Testoni</a> - https://www.linkedin.com/in/giampiero-testoni-a79a8b32/?originalSubdomain=it</p><p><a href="https://www.energicamotor.com/us/">Energica Motor Company</a> - https://www.energicamotor.com/us/</p><p><br></p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="https://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p><br></p><p><br></p><p><br></p><p>#Manufacturing #Aerodynamics #Fuel #Tires #Road #Transportation</p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>2569</itunes:duration>
      <guid isPermaLink="false"><![CDATA[77441a84-db57-11ee-8982-3773cfe1b1bf]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3943690796.mp3?updated=1709730260" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineer Innovation Podcast Trailer</title>
      <description>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. Join us to explore where ideas turn into reality and how simulations fuel innovation.</description>
      <pubDate>Fri, 01 Mar 2024 16:57:00 -0000</pubDate>
      <itunes:episodeType>trailer</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. Join us to explore where ideas turn into reality and how simulations fuel innovation.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. Our guests share their expertise on how cutting-edge technologies drive engineering innovation: the emerging industrial metaverse, MBSE, comprehensive digital twin, artificial intelligence (AI), and edge computing. Cutting through the hype, we have practical conversations about what truly matters to engineers across various industries. Join us to explore where ideas turn into reality and how simulations fuel innovation.</p>]]>
      </content:encoded>
      <itunes:duration>90</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[cd1db71c-d7ec-11ee-b2a7-3bf2edb0383c]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE8290059493.mp3?updated=1709312556" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>From Skyward Dreams to Groundbreaking Turbines with Jesse Marcel and John Shew</title>
      <description>In this episode, we’re joined by Jesse Marcel, Co-Founder and Chief Design Officer of Airborne Motorworks, and John Shew, Simulation Services Director of Maya HTT. They delve into the development of innovative wind turbines that could revolutionize local power generation.

Key Takeaways:
(06:24) Shifting from propulsion to power-generation technology.
(10:35) Scaling up the design challenges.
(12:26) Unique aspects of their wind turbine.
(15:44) Collaborating on electromagnetics and mechanical design.
(19:17) Design evolution and efficiency improvements. 
(29:28) The role in addressing climate issues. 

Resources Mentioned:
Jesse Marcel - https://www.linkedin.com/in/jessemarcel/
Airborne Motorworks - https://www.linkedin.com/company/airbornemotorworks/
John Shew - https://www.linkedin.com/in/john-shew-pe/
Maya HTT - https://www.linkedin.com/company/mayahtt/
Microgrid - https://airbornemotorworks.com/energy-production
This episode of the Engineer Innovation podcast is brought to you by Siemens 
Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#RenewableEnergy #WindEnergy #GreenEnergy  #Simcenter #SimulationDriven-Design</description>
      <pubDate>Tue, 20 Feb 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ce7c71d0-cb34-11ee-a596-23b32c573597/image/be0264149cb18fdb12a2fb385951326a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we’re joined by Jesse Marcel, Co-Founder and Chief Design Officer of Airborne Motorworks, and John Shew, Simulation Services Director of Maya HTT. They delve into the development of innovative wind turbines that could revolutionize local power generation.

Key Takeaways:
(06:24) Shifting from propulsion to power-generation technology.
(10:35) Scaling up the design challenges.
(12:26) Unique aspects of their wind turbine.
(15:44) Collaborating on electromagnetics and mechanical design.
(19:17) Design evolution and efficiency improvements. 
(29:28) The role in addressing climate issues. 

Resources Mentioned:
Jesse Marcel - https://www.linkedin.com/in/jessemarcel/
Airborne Motorworks - https://www.linkedin.com/company/airbornemotorworks/
John Shew - https://www.linkedin.com/in/john-shew-pe/
Maya HTT - https://www.linkedin.com/company/mayahtt/
Microgrid - https://airbornemotorworks.com/energy-production
This episode of the Engineer Innovation podcast is brought to you by Siemens 
Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#RenewableEnergy #WindEnergy #GreenEnergy  #Simcenter #SimulationDriven-Design</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we’re joined by <a href="https://www.linkedin.com/in/jessemarcel/">Jesse Marcel</a>, Co-Founder and Chief Design Officer of <a href="https://www.linkedin.com/company/airbornemotorworks/">Airborne Motorworks</a>, and <a href="https://www.linkedin.com/in/john-shew-pe/">John Shew</a>, Simulation Services Director of <a href="https://www.linkedin.com/company/mayahtt/">Maya HTT</a>. They delve into the development of innovative wind turbines that could revolutionize local power generation.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p>(06:24) Shifting from propulsion to power-generation technology.</p><p>(10:35) Scaling up the design challenges.</p><p>(12:26) Unique aspects of their wind turbine.</p><p>(15:44) Collaborating on electromagnetics and mechanical design.</p><p>(19:17) Design evolution and efficiency improvements. </p><p>(29:28) The role in addressing climate issues. </p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><a href="https://www.linkedin.com/in/jessemarcel/"><strong>Jesse Marcel</strong></a><strong> - </strong>https://www.linkedin.com/in/jessemarcel/</p><p><a href="https://www.linkedin.com/company/airbornemotorworks/">Airborne Motorworks</a> - https://www.linkedin.com/company/airbornemotorworks/</p><p><a href="https://www.linkedin.com/in/john-shew-pe/">John Shew</a> - https://www.linkedin.com/in/john-shew-pe/</p><p><a href="https://www.linkedin.com/company/mayahtt/">Maya HTT</a> - https://www.linkedin.com/company/mayahtt/</p><p><a href="https://airbornemotorworks.com/industrial-applications">Microgrid</a> - <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fairbornemotorworks.com%2Fenergy-production&amp;data=05%7C02%7Cchad.ghalamzan%40siemens.com%7Cce209aab4f9c4df075e508dc44ff463d%7C38ae3bcd95794fd4addab42e1495d55a%7C1%7C0%7C638461110410133178%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=vJM3fVWF3zf7ZrpuDKZBiHahmqTp36RCIa42Vtbviig%3D&amp;reserved=0">https://airbornemotorworks.com/energy-production</a></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens </p><p>Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p>#RenewableEnergy #WindEnergy #GreenEnergy  #Simcenter #SimulationDriven-Design</p>]]>
      </content:encoded>
      <itunes:duration>2168</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ce7c71d0-cb34-11ee-a596-23b32c573597]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6311487374.mp3?updated=1710521358" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Reinventing the Wheel: Cycling Innovation with Frederic Poppenhäger</title>
      <description>In this episode, we discuss advanced cycling technology with Frederic Poppenhäger, Founder and Partner at Radiate Engineering &amp; Design AG. He is a specialist in simulation-driven engineering, particularly in the bicycle industry.

Key Takeaways:

(00:07) Radiate’s commitment to simulation-driven engineering in product development.
(01:10) What the edge simulation-driven design offers in creating innovative solutions.
(01:28) The role of AI in optimizing product design.
(02:43) The importance of balancing aerodynamics, weight and comfort in road bike wheels.
(04:55) The extensive simulation process behind the new wheel design.
(07:19) How aerodynamics are optimized for stability and handling in different conditions.
(10:29) The trade-offs between aerodynamic efficiency and wheel weight.
(12:22) The debut of the new wheel in prestigious cycling events.
(14:05) The broad applications of simulation-driven engineering in diverse industries.
(17:20) Frederic’s personal experiences with the prototype wheel.


Resources Mentioned:

Radiate Engineering &amp; Design AG
Capital SL Wheelset

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.

#design #drones #cycling #innovation #engineering #simulation #SimcenterSimulationDriven-Design</description>
      <pubDate>Wed, 07 Feb 2024 06:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4bbbe710-c5af-11ee-a6c3-33a7f9d57c8a/image/SIMCENTER-cover-3000x3000.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we discuss advanced cycling technology with Frederic Poppenhäger, Founder and Partner at Radiate Engineering &amp; Design AG. He is a specialist in simulation-driven engineering, particularly in the bicycle industry.

Key Takeaways:

(00:07) Radiate’s commitment to simulation-driven engineering in product development.
(01:10) What the edge simulation-driven design offers in creating innovative solutions.
(01:28) The role of AI in optimizing product design.
(02:43) The importance of balancing aerodynamics, weight and comfort in road bike wheels.
(04:55) The extensive simulation process behind the new wheel design.
(07:19) How aerodynamics are optimized for stability and handling in different conditions.
(10:29) The trade-offs between aerodynamic efficiency and wheel weight.
(12:22) The debut of the new wheel in prestigious cycling events.
(14:05) The broad applications of simulation-driven engineering in diverse industries.
(17:20) Frederic’s personal experiences with the prototype wheel.


Resources Mentioned:

Radiate Engineering &amp; Design AG
Capital SL Wheelset

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.

#design #drones #cycling #innovation #engineering #simulation #SimcenterSimulationDriven-Design</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we discuss advanced cycling technology with <a href="https://www.linkedin.com/in/poppenhaeger/">Frederic Poppenhäger</a>, Founder and Partner at <a href="https://www.linkedin.com/company/radiate-engineering-and-design/">Radiate Engineering &amp; Design AG</a>. He is a specialist in simulation-driven engineering, particularly in the bicycle industry.</p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p>(00:07) Radiate’s commitment to simulation-driven engineering in product development.</p><p>(01:10) What the edge simulation-driven design offers in creating innovative solutions.</p><p>(01:28) The role of AI in optimizing product design.</p><p>(02:43) The importance of balancing aerodynamics, weight and comfort in road bike wheels.</p><p>(04:55) The extensive simulation process behind the new wheel design.</p><p>(07:19) How aerodynamics are optimized for stability and handling in different conditions.</p><p>(10:29) The trade-offs between aerodynamic efficiency and wheel weight.</p><p>(12:22) The debut of the new wheel in prestigious cycling events.</p><p>(14:05) The broad applications of simulation-driven engineering in diverse industries.</p><p>(17:20) Frederic’s personal experiences with the prototype wheel.</p><p><br></p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><br></p><p><a href="https://www.radiate.ch/">Radiate Engineering &amp; Design AG</a></p><p><a href="https://www.radiate.ch/portfolio-item/capital-sl/">Capital SL Wheelset</a></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="https://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p><br></p><p>#design #drones #cycling #innovation #engineering #simulation #SimcenterSimulationDriven-Design</p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>1222</itunes:duration>
      <guid isPermaLink="false"><![CDATA[4bbbe710-c5af-11ee-a6c3-33a7f9d57c8a]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3474532472.mp3?updated=1707307180" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineering the Past: Junkers Reviving the Junkers Ju 52 with Danny Wadewitz</title>
      <description>In this episode, we welcome Danny Wadewitz, Calculation Engineer and Member of the Executive Board at AeroFEM, to talk about the use of cutting-edge engineering to restore the iconic Junkers Ju 52 aircraft.

Danny highlights the innovative use of 3D scanning for replication and provides fascinating insights into how modern technology aids in reviving and preserving significant pieces of aviation history. 

Key Takeaways:

(00:16) Introduction to the Junkers Ju 52’s historical significance.
(03:31) The enthusiast-led initiative to bring these aircraft back to the skies.
(04:17) Challenges faced in reconstructing the aircraft from scratch.
(06:30) Observations on the asymmetry and wear of the old aircraft.
(08:26) Using Siemens tools for simulation and analysis in the aircraft restoration project.
(10:32) Changes in materials used for the aircraft rebuild.
(13:17) The status of the airworthiness certification for the rebuilt aircraft.
(15:55) Overview of AeroFEM’s work in the aerospace industry and its unique capabilities.
(17:59) AeroFEM's involvement in the Solar Impulse solar aircraft project.
(19:12) AeroFEM's diverse engineering projects, from historical aircraft to future innovations.

Resources Mentioned:

Danny Wadewitz - https://www.linkedin.com/in/danny-wadewitz-aa664215a/?originalSubdomain=ch
AeroFEM - https://www.linkedin.com/company/aerofem-gmbh/
Siemens NX Reverse Engineering Tool - https://trials.sw.siemens.com/en-US/trials/nx-scan-to-part
AeroFEM’s Aerospace Industry Work - https://www.aerofem.com/en/industries/aerospace



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.




#Aviation #AirlinesAndAirplanes
#Aerospace #AircraftMaintenance #AerospaceEngineering #AerospaceIndustries #AerospaceManufacturing #Airplane #Aircraft #AI #Automation #Manufacturing #Machinery #SimcenterAircraft #SimcenterAeroEngine</description>
      <pubDate>Wed, 24 Jan 2024 14:48:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ac123c24-bac7-11ee-9faf-476a83ee295a/image/SIMCENTER-cover-2000x2000-1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we welcome Danny Wadewitz, Calculation Engineer and Member of the Executive Board at AeroFEM, to talk about the use of cutting-edge engineering to restore the iconic Junkers Ju 52 aircraft.

Danny highlights the innovative use of 3D scanning for replication and provides fascinating insights into how modern technology aids in reviving and preserving significant pieces of aviation history. 

Key Takeaways:

(00:16) Introduction to the Junkers Ju 52’s historical significance.
(03:31) The enthusiast-led initiative to bring these aircraft back to the skies.
(04:17) Challenges faced in reconstructing the aircraft from scratch.
(06:30) Observations on the asymmetry and wear of the old aircraft.
(08:26) Using Siemens tools for simulation and analysis in the aircraft restoration project.
(10:32) Changes in materials used for the aircraft rebuild.
(13:17) The status of the airworthiness certification for the rebuilt aircraft.
(15:55) Overview of AeroFEM’s work in the aerospace industry and its unique capabilities.
(17:59) AeroFEM's involvement in the Solar Impulse solar aircraft project.
(19:12) AeroFEM's diverse engineering projects, from historical aircraft to future innovations.

Resources Mentioned:

Danny Wadewitz - https://www.linkedin.com/in/danny-wadewitz-aa664215a/?originalSubdomain=ch
AeroFEM - https://www.linkedin.com/company/aerofem-gmbh/
Siemens NX Reverse Engineering Tool - https://trials.sw.siemens.com/en-US/trials/nx-scan-to-part
AeroFEM’s Aerospace Industry Work - https://www.aerofem.com/en/industries/aerospace



This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.




#Aviation #AirlinesAndAirplanes
#Aerospace #AircraftMaintenance #AerospaceEngineering #AerospaceIndustries #AerospaceManufacturing #Airplane #Aircraft #AI #Automation #Manufacturing #Machinery #SimcenterAircraft #SimcenterAeroEngine</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we welcome <a href="https://www.linkedin.com/in/danny-wadewitz-aa664215a/?originalSubdomain=ch">Danny Wadewitz</a>, Calculation Engineer and Member of the Executive Board at <a href="https://www.linkedin.com/company/aerofem-gmbh/">AeroFEM</a>, to talk about the use of cutting-edge engineering to restore the iconic Junkers Ju 52 aircraft.</p><p><br></p><p>Danny highlights the innovative use of 3D scanning for replication and provides fascinating insights into how modern technology aids in reviving and preserving significant pieces of aviation history. </p><p><br></p><p><strong>Key Takeaways:</strong></p><p><br></p><p>(00:16) Introduction to the Junkers Ju 52’s historical significance.</p><p>(03:31) The enthusiast-led initiative to bring these aircraft back to the skies.</p><p>(04:17) Challenges faced in reconstructing the aircraft from scratch.</p><p>(06:30) Observations on the asymmetry and wear of the old aircraft.</p><p>(08:26) Using Siemens tools for simulation and analysis in the aircraft restoration project.</p><p>(10:32) Changes in materials used for the aircraft rebuild.</p><p>(13:17) The status of the airworthiness certification for the rebuilt aircraft.</p><p>(15:55) Overview of AeroFEM’s work in the aerospace industry and its unique capabilities.</p><p>(17:59) AeroFEM's involvement in the Solar Impulse solar aircraft project.</p><p>(19:12) AeroFEM's diverse engineering projects, from historical aircraft to future innovations.</p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><br></p><p><a href="https://www.linkedin.com/in/danny-wadewitz-aa664215a/?originalSubdomain=ch">Danny Wadewitz</a> - https://www.linkedin.com/in/danny-wadewitz-aa664215a/?originalSubdomain=ch</p><p><a href="https://www.linkedin.com/company/aerofem-gmbh/">AeroFEM</a> - https://www.linkedin.com/company/aerofem-gmbh/</p><p><a href="https://trials.sw.siemens.com/en-US/trials/nx-scan-to-part">Siemens NX Reverse Engineering Tool</a> - https://trials.sw.siemens.com/en-US/trials/nx-scan-to-part</p><p><a href="https://www.aerofem.com/en/industries/aerospace">AeroFEM’s Aerospace Industry Work</a> - https://www.aerofem.com/en/industries/aerospace</p><p><br></p><p><br></p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p><br></p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p><br></p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p><br></p><p><br></p><p><br></p><p><br></p><p>#Aviation #AirlinesAndAirplanes</p><p>#Aerospace #AircraftMaintenance #AerospaceEngineering #AerospaceIndustries #AerospaceManufacturing #Airplane #Aircraft #AI #Automation #Manufacturing #Machinery #SimcenterAircraft #SimcenterAeroEngine</p><p><br></p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>1272</itunes:duration>
      <guid isPermaLink="false"><![CDATA[ac123c24-bac7-11ee-9faf-476a83ee295a]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2708666658.mp3?updated=1706108025" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineer Innovation Trailer</title>
      <description>Trailer for the Engineer Innovation Podcast</description>
      <pubDate>Thu, 18 Jan 2024 22:16:00 -0000</pubDate>
      <itunes:episodeType>trailer</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Trailer for the Engineer Innovation Podcast</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Trailer for the Engineer Innovation Podcast</p>]]>
      </content:encoded>
      <itunes:duration>62</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f0cec5b2-b64e-11ee-88b7-fb97c1266eb4]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7062269566.mp3?updated=1705616367" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineering Simulation: What’s Hot in 2024?</title>
      <link>https://blogs.sw.siemens.com/podcasts/uncategorized/engineering-simulation-whats-hot-in-2024/</link>
      <description>In this special New Year edition of the Engineering Innovation podcast, Stephen and Chad review the top trends that dominated the world of engineering simulation and test during 2023, and predict how those trends will play out in 2024. We also introduce our new AI Podcaster ChadGPT. 
 Key Takeaways 

What were the top trends of 2023? 

Will AI replace engineers? 

Will AI replace engineering podcasters? Meet ChadGPT! 

Can you lobotomize Machine Learning algorithms 

Stepping inside the Metaverse 

Exploring the Digital Twin 

What is the opposite of engineering? 

Which are the best episodes of the Engineer Innovation podcast 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast. </description>
      <pubDate>Thu, 04 Jan 2024 05:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ef433236-aa5b-11ee-9aa1-c7275589f9d8/image/cover.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this special New Year edition of the Engineering Innovation podcast, Stephen and Chad review the top trends that dominated the world of engineering simulation and test during 2023, and predict how those trends will play out in 2024. We also introduce our new AI Podcaster ChadGPT. 
 Key Takeaways 

What were the top trends of 2023? 

Will AI replace engineers? 

Will AI replace engineering podcasters? Meet ChadGPT! 

Can you lobotomize Machine Learning algorithms 

Stepping inside the Metaverse 

Exploring the Digital Twin 

What is the opposite of engineering? 

Which are the best episodes of the Engineer Innovation podcast 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this special New Year edition of the Engineering Innovation podcast, Stephen and Chad review the top trends that dominated the world of engineering simulation and test during 2023, and predict how those trends will play out in 2024. We also introduce our new AI Podcaster ChadGPT. </p><p> <strong>Key Takeaways</strong> </p><ul>
<li>What were the top trends of 2023? </li>
<li>Will AI replace engineers? </li>
<li>Will AI replace engineering podcasters? Meet ChadGPT! </li>
<li>Can you lobotomize Machine Learning algorithms </li>
<li>Stepping inside the Metaverse </li>
<li>Exploring the Digital Twin </li>
<li>What is the opposite of engineering? </li>
<li>Which are the best episodes of the Engineer Innovation podcast </li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. </p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>. </p>]]>
      </content:encoded>
      <itunes:duration>2892</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ef433236-aa5b-11ee-9aa1-c7275589f9d8]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2276277939.mp3?updated=1704302533" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Advancing Electric Motor Design and Simulation with Adrian Perregaux of Siemens</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/advancing-electric-motor-design-and-simulation-with-adrian-perregaux/</link>
      <description>In this episode, we’re joined by Adrian Perregaux, Product Manager of Electromagnetics at Siemens Digital Industries Software, His team focuses on low-frequency electromagnetic solutions within the Simcenter portfolio. Adrian shares his insights into the evolving world of electric motor design and the role of simulation software in enhancing this process.
Key Takeaways
(02:33) What Adrian finds appealing in electric motor problem-solving. 

(05:07) The complexity in motor design is due to the non-linear behavior of electromagnetic steels.

(07:50) Efficiency trends in motor design driven by global electricity consumption.

(14:36) Early software development technology limitations. 

(16:00) The introduction of Simcenter Speed and Simcenter Motorsolve.

(21:12) The upcoming release of  Simcenter e-machine design.


Resources Mentioned:
Simcenter e-machine design - https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/
Simcenter SPEED software  -   https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/
Simcenter MotorSolve - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Simcenter #SimulationDriven-Design ##ElectricMotors #ComptuerAidedEngineering #CAE #DigitalTwin #ElectroMechanical #Engineer #Innovation</description>
      <pubDate>Wed, 03 Jan 2024 16:52:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/42bbdcb4-aa3f-11ee-b2e2-afbf94a58f57/image/SIMCENTER-cover-2000x2000-1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, we’re joined by Adrian Perregaux, Product Manager of Electromagnetics at Siemens Digital Industries Software, His team focuses on low-frequency electromagnetic solutions within the Simcenter portfolio. Adrian shares his insights into the evolving world of electric motor design and the role of simulation software in enhancing this process.
Key Takeaways
(02:33) What Adrian finds appealing in electric motor problem-solving. 

(05:07) The complexity in motor design is due to the non-linear behavior of electromagnetic steels.

(07:50) Efficiency trends in motor design driven by global electricity consumption.

(14:36) Early software development technology limitations. 

(16:00) The introduction of Simcenter Speed and Simcenter Motorsolve.

(21:12) The upcoming release of  Simcenter e-machine design.


Resources Mentioned:
Simcenter e-machine design - https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/
Simcenter SPEED software  -   https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/
Simcenter MotorSolve - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Simcenter #SimulationDriven-Design ##ElectricMotors #ComptuerAidedEngineering #CAE #DigitalTwin #ElectroMechanical #Engineer #Innovation</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we’re joined by <a href="https://www.linkedin.com/in/adrianperregaux/">Adrian Perregaux</a>, Product Manager of Electromagnetics at <a href="https://www.linkedin.com/company/siemenssoftware/">Siemens Digital Industries Software</a>, His team focuses on low-frequency electromagnetic solutions within the Simcenter portfolio. Adrian shares his insights into the evolving world of electric motor design and the role of simulation software in enhancing this process.</p><p><strong>Key Takeaways</strong></p><ul><li>(02:33) What Adrian finds appealing in electric motor problem-solving. </li></ul><p><br></p><ul><li>(05:07) The complexity in motor design is due to the non-linear behavior of electromagnetic steels.</li></ul><p><br></p><ul><li>(07:50) Efficiency trends in motor design driven by global electricity consumption.</li></ul><p><br></p><ul><li>(14:36) Early software development technology limitations. </li></ul><p><br></p><ul><li>(16:00) The introduction of Simcenter Speed and Simcenter Motorsolve.</li></ul><p><br></p><ul><li>(21:12) The upcoming release of  Simcenter e-machine design.</li></ul><p><br></p><p><br></p><p><strong>Resources Mentioned:</strong></p><p><a href="https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/">Simcenter e-machine design</a> - https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/</p><p><a href="https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/">Simcenter SPEED software</a>  -   https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/</p><p><a href="https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/">Simcenter MotorSolve</a> - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p>#Simcenter #SimulationDriven-Design ##ElectricMotors #ComptuerAidedEngineering #CAE #DigitalTwin #ElectroMechanical #Engineer #Innovation</p>]]>
      </content:encoded>
      <itunes:duration>1696</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[42bbdcb4-aa3f-11ee-b2e2-afbf94a58f57]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE9256395634.mp3?updated=1704304653" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Evolution of The Digital Twin in Industry with Tom Phillips</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/the-evolution-of-the-digital-twin-in-industry-with-tom-phillips-of-siemens/</link>
      <description>On today’s episode, we’re joined by Tom Phillips, Director, Simulation Portfolio Development of Siemens Digital Industries Software, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations.
Key Takeaways:

(03:40) How digital twins enhance product and process understanding.

(05:14) The significance of digital twins in predictive maintenance and condition monitoring.

(08:50) The role of digital twins in improving manufacturing and operational efficiency.

(14:32) The role of simulation and analytics in refining the capabilities of digital twins.

(19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling.

(21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications.

(22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance.


Tom Phillips - https://www.linkedin.com/in/tomjphillips/
Siemens Digital Industries Software -https://www.linkedin.com/company/siemenssoftware/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin</description>
      <pubDate>Thu, 07 Dec 2023 12:11:00 -0000</pubDate>
      <itunes:title>The Evolution of The Digital Twin in Industry</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/7e1f26a4-94f9-11ee-971a-efb6f17c2284/image/SIMCENTER-Banner-3000x3000-1.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Tom Phillips</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Tom Phillips, Director, Simulation Portfolio Development of Siemens Digital Industries Software, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations.
Key Takeaways:

(03:40) How digital twins enhance product and process understanding.

(05:14) The significance of digital twins in predictive maintenance and condition monitoring.

(08:50) The role of digital twins in improving manufacturing and operational efficiency.

(14:32) The role of simulation and analytics in refining the capabilities of digital twins.

(19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling.

(21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications.

(22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance.


Tom Phillips - https://www.linkedin.com/in/tomjphillips/
Siemens Digital Industries Software -https://www.linkedin.com/company/siemenssoftware/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/tomjphillips/">Tom Phillips,</a> Director, Simulation Portfolio Development of <a href="https://www.linkedin.com/company/siemenssoftware/">Siemens Digital Industries Software</a>, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations.</p><p><strong>Key Takeaways:</strong></p><ul>
<li>(03:40) How digital twins enhance product and process understanding.</li>
<li>(05:14) The significance of digital twins in predictive maintenance and condition monitoring.</li>
<li>(08:50) The role of digital twins in improving manufacturing and operational efficiency.</li>
<li>(14:32) The role of simulation and analytics in refining the capabilities of digital twins.</li>
<li>(19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling.</li>
<li>(21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications.</li>
<li>(22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance.</li>
</ul><p><br></p><p><a href="https://www.linkedin.com/in/tomjphillips/">Tom Phillips</a> - https://www.linkedin.com/in/tomjphillips/</p><p><a href="https://www.linkedin.com/company/siemenssoftware/">Siemens Digital Industries Software</a> -https://www.linkedin.com/company/siemenssoftware/</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show, and subscribe on Apple or Spotify so you never miss an episode.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p>#AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin</p>]]>
      </content:encoded>
      <itunes:duration>1466</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7e1f26a4-94f9-11ee-971a-efb6f17c2284]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3096464862.mp3?updated=1702045954" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>ChatGPT in the loop: Bridging humans to system simulations with Sarah Barendswaard and Yerlan Akhmetov </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/chatgpt-in-the-loop-bridging-humans-to-system-simulations-with-sarah-barendswaard-and-yerlan-akhmetov/</link>
      <description>On this episode, Sarah Barendswaard and Yerlan Akhmetov, both engineers at Siemens Digital Industries Software, part of the System Performances Center of Excellence, share how they harness AI and simulation tools like ChatGPT, Simcenter Prescan, and Simcenter Amesim to optimize testing and development of autonomous vehicle systems. 
The project they worked on involved using ChatGPT to analyze the subjective evaluation of a test driver in a physical simulator and make real-time adjustments to the vehicle dynamics parameters based on their feedback. They highlight the potential of AI in streamlining the testing process, increasing productivity, and reducing resource costs. They also discuss the importance of trust and verification when using AI tools and the potential impact of AI on imagination and creativity. Overall, they find that AI can be a valuable tool in their work, but it is crucial to understand its limitations and ensure human supervision and verification. 
Key Takeaways: 

AI Integration in Engineering: Integrating ChatGPT and Siemens tools for real-time optimization of vehicle dynamics parameters

Real-time Testing Efficiency: Demonstrating AI's efficacy in swiftly adjusting vehicle parameters based on immediate driver feedback during real-time testing. 

Trust and Reliability in AI: Acknowledging AI's reliability while emphasizing the importance of understanding its limitations and maintaining human oversight, especially in critical scenarios. 

Imagination and AI Impact: Philosophically exploring AI's impact on human imagination, with differing views on whether it hinders or inspires creativity. 

Future AI Applications at Siemens: Envisioning broader applications for AI, focusing on leveraging ChatGPT and Siemens tools to streamline development processes and enhance efficiency. 


Resources mentioned:

System Performance Center of Excellence

Simcenter Amesim | Siemens Software

Simcenter Prescan Software simulation platform | Siemens Software

ChatGPT (openai.com)

Hackathon project by Yerlan and Sarah


If you enjoyed this episode, please leave a review. It would help get the word out about the show.
Find the show on your favorite podcatcher: Engineer Innovation podcast.</description>
      <pubDate>Wed, 29 Nov 2023 13:00:00 -0000</pubDate>
      <itunes:title>ChatGPT in the loop: Bridging humans to system simulations</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/76fb8222-8d20-11ee-b5fd-d3f2fd7bac7c/image/e7dbcf.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Sarah Barendswaard and Yerlan Akhmetov </itunes:subtitle>
      <itunes:summary>On this episode, Sarah Barendswaard and Yerlan Akhmetov, both engineers at Siemens Digital Industries Software, part of the System Performances Center of Excellence, share how they harness AI and simulation tools like ChatGPT, Simcenter Prescan, and Simcenter Amesim to optimize testing and development of autonomous vehicle systems. 
The project they worked on involved using ChatGPT to analyze the subjective evaluation of a test driver in a physical simulator and make real-time adjustments to the vehicle dynamics parameters based on their feedback. They highlight the potential of AI in streamlining the testing process, increasing productivity, and reducing resource costs. They also discuss the importance of trust and verification when using AI tools and the potential impact of AI on imagination and creativity. Overall, they find that AI can be a valuable tool in their work, but it is crucial to understand its limitations and ensure human supervision and verification. 
Key Takeaways: 

AI Integration in Engineering: Integrating ChatGPT and Siemens tools for real-time optimization of vehicle dynamics parameters

Real-time Testing Efficiency: Demonstrating AI's efficacy in swiftly adjusting vehicle parameters based on immediate driver feedback during real-time testing. 

Trust and Reliability in AI: Acknowledging AI's reliability while emphasizing the importance of understanding its limitations and maintaining human oversight, especially in critical scenarios. 

Imagination and AI Impact: Philosophically exploring AI's impact on human imagination, with differing views on whether it hinders or inspires creativity. 

Future AI Applications at Siemens: Envisioning broader applications for AI, focusing on leveraging ChatGPT and Siemens tools to streamline development processes and enhance efficiency. 


Resources mentioned:

System Performance Center of Excellence

Simcenter Amesim | Siemens Software

Simcenter Prescan Software simulation platform | Siemens Software

ChatGPT (openai.com)

Hackathon project by Yerlan and Sarah


If you enjoyed this episode, please leave a review. It would help get the word out about the show.
Find the show on your favorite podcatcher: Engineer Innovation podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this episode, Sarah Barendswaard and Yerlan Akhmetov, both engineers at Siemens Digital Industries Software, part of the System Performances Center of Excellence, share how they harness AI and simulation tools like ChatGPT, Simcenter Prescan, and Simcenter Amesim to optimize testing and development of autonomous vehicle systems. </p><p>The project they worked on involved using ChatGPT to analyze the subjective evaluation of a test driver in a physical simulator and make real-time adjustments to the vehicle dynamics parameters based on their feedback. They highlight the potential of AI in streamlining the testing process, increasing productivity, and reducing resource costs. They also discuss the importance of trust and verification when using AI tools and the potential impact of AI on imagination and creativity. Overall, they find that AI can be a valuable tool in their work, but it is crucial to understand its limitations and ensure human supervision and verification. </p><p><u>Key Takeaways: </u></p><ul>
<li>AI Integration in Engineering: Integrating ChatGPT and Siemens tools for real-time optimization of vehicle dynamics parameters</li>
<li>Real-time Testing Efficiency: Demonstrating AI's efficacy in swiftly adjusting vehicle parameters based on immediate driver feedback during real-time testing. </li>
<li>Trust and Reliability in AI: Acknowledging AI's reliability while emphasizing the importance of understanding its limitations and maintaining human oversight, especially in critical scenarios. </li>
<li>Imagination and AI Impact: Philosophically exploring AI's impact on human imagination, with differing views on whether it hinders or inspires creativity. </li>
<li>Future AI Applications at Siemens: Envisioning broader applications for AI, focusing on leveraging ChatGPT and Siemens tools to streamline development processes and enhance efficiency. </li>
</ul><p><br></p><p><u>Resources </u><u>mentioned:</u></p><ul>
<li><a href="https://resources.sw.siemens.com/en-US/presentation-performance-engineering-facility-virtual-tour">System Performance Center of Excellence</a></li>
<li><a href="https://plm.sw.siemens.com/en-US/simcenter/systems-simulation/amesim/">Simcenter Amesim | Siemens Software</a></li>
<li><a href="https://plm.sw.siemens.com/en-US/simcenter/autonomous-vehicle-solutions/prescan/">Simcenter Prescan Software simulation platform | Siemens Software</a></li>
<li><a href="https://chat.openai.com/">ChatGPT (openai.com)</a></li>
<li><a href="https://blogs.sw.siemens.com/simcenter/driving-into-the-future-exploring-the-integration-of-chatgpt-and-ai-in-vehicle-development/">Hackathon project by Yerlan and Sarah</a></li>
</ul><p><br></p><p>If you enjoyed this episode, please leave a review. It would help get the word out about the show.</p><p>Find the show on your favorite podcatcher: <a href="https://linktr.ee/engineerinnovationpodcast">Engineer Innovation podcast</a>.</p>]]>
      </content:encoded>
      <itunes:duration>2139</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[76fb8222-8d20-11ee-b5fd-d3f2fd7bac7c]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6384505357.mp3?updated=1701441338" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How ChatGPT Is Redefining the Future of Engineering Simulation</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/how-chatgpt-is-redefining-the-future-of-engineering-simulation-with-kai-liu/</link>
      <description>On today’s episode, we’re joined by Kai Liu, Senior Key Expert of Simulation and Modeling at Siemens. He shares insights into the integration and impact of ChatGPT within Siemens and Simcenter tools, discussing the future of engineering with the advent of advanced AI technologies.
Key Takeaways:

(02:28) Discussing ChatGPT’s assistance in programming and writing.

(03:22) Integration of ChatGPT in Siemens and Simcenter.

(04:19) How ChatGPT is changing engineering tool interfaces.

(08:43) Integration of ChatGPT in the ‘Hi Simcenter’ project.

(16:09) Strategies to reduce randomness in large language model responses.

(17:31) Addressing AI drift and confidentiality concerns in professional LLM use.

(20:24) The rapid evolution of ChatGPT and challenges in its professional integration.

(22:34) Future predictions for domain-specific LLMs.

(24:21) A discussion of AI’s impact on engineering jobs.

(25:20) AI’s role in enhancing engineering productivity.

(27:16) Speculation on how engineers might use LLMs in the future.


Resources Mentioned:
Kai Liu - https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de
Hi Simcenter - https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/
ChatGPT by OpenAI - https://chat.openai.com/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#ChatGPT #OpenAI #MachineLearning #AI #Automation #IntelligentAutomation #Productivity #Autonomous</description>
      <pubDate>Tue, 28 Nov 2023 17:47:00 -0000</pubDate>
      <itunes:title>How ChatGPT Is Redefining the Future of Engineering Simulation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/528cbfa4-8e16-11ee-a851-2f4aa6d88584/image/b68e95.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Kai Liu</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Kai Liu, Senior Key Expert of Simulation and Modeling at Siemens. He shares insights into the integration and impact of ChatGPT within Siemens and Simcenter tools, discussing the future of engineering with the advent of advanced AI technologies.
Key Takeaways:

(02:28) Discussing ChatGPT’s assistance in programming and writing.

(03:22) Integration of ChatGPT in Siemens and Simcenter.

(04:19) How ChatGPT is changing engineering tool interfaces.

(08:43) Integration of ChatGPT in the ‘Hi Simcenter’ project.

(16:09) Strategies to reduce randomness in large language model responses.

(17:31) Addressing AI drift and confidentiality concerns in professional LLM use.

(20:24) The rapid evolution of ChatGPT and challenges in its professional integration.

(22:34) Future predictions for domain-specific LLMs.

(24:21) A discussion of AI’s impact on engineering jobs.

(25:20) AI’s role in enhancing engineering productivity.

(27:16) Speculation on how engineers might use LLMs in the future.


Resources Mentioned:
Kai Liu - https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de
Hi Simcenter - https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/
ChatGPT by OpenAI - https://chat.openai.com/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#ChatGPT #OpenAI #MachineLearning #AI #Automation #IntelligentAutomation #Productivity #Autonomous</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de">Kai Liu</a>, Senior Key Expert of Simulation and Modeling at <a href="https://www.linkedin.com/company/siemens/">Siemens</a>. He shares insights into the integration and impact of ChatGPT within Siemens and Simcenter tools, discussing the future of engineering with the advent of advanced AI technologies.</p><p><strong>Key Takeaways:</strong></p><ul>
<li>(02:28) Discussing ChatGPT’s assistance in programming and writing.</li>
<li>(03:22) Integration of ChatGPT in Siemens and Simcenter.</li>
<li>(04:19) How ChatGPT is changing engineering tool interfaces.</li>
<li>(08:43) Integration of ChatGPT in the ‘Hi Simcenter’ project.</li>
<li>(16:09) Strategies to reduce randomness in large language model responses.</li>
<li>(17:31) Addressing AI drift and confidentiality concerns in professional LLM use.</li>
<li>(20:24) The rapid evolution of ChatGPT and challenges in its professional integration.</li>
<li>(22:34) Future predictions for domain-specific LLMs.</li>
<li>(24:21) A discussion of AI’s impact on engineering jobs.</li>
<li>(25:20) AI’s role in enhancing engineering productivity.</li>
<li>(27:16) Speculation on how engineers might use LLMs in the future.</li>
</ul><p><br></p><p><strong>Resources Mentioned:</strong></p><p><a href="https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de">Kai Liu</a> - https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de</p><p><a href="https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/">Hi Simcenter</a> - https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/</p><p><a href="https://chat.openai.com/">ChatGPT by OpenAI</a> - https://chat.openai.com/</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p>#ChatGPT #OpenAI #MachineLearning #AI #Automation #IntelligentAutomation #Productivity #Autonomous</p>]]>
      </content:encoded>
      <itunes:duration>1622</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[528cbfa4-8e16-11ee-a851-2f4aa6d88584]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE9556625279.mp3?updated=1701441218" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Taking Agriculture Underground with Jamil Madanat</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/taking-agriculture-underground-with-jamil-madanat/</link>
      <description>On today’s episode, we’re joined by Jamil Madanat, Chief Technology Officer of GreenForges, for a fascinating discussion about the innovative approach of GreenForges in agriculture and the potential of underground farming.
Key Takeaways:

 Repurposing LED heat waste for buildings.﻿ (07:40)

 A controlled environment offers predictable crop growth amidst climate crisis. (07:53)

 Underground farming: protection from pests, weather and contamination. (08:19)

The four phases of plant growth in GreenForges’ system. (14:19) 

 Proper monitoring of plant conditions and ensuring optimal growth. (15:37)

The role sensors and cameras play in monitoring plant health. (16:10) 

 The potential for flavour engineering in controlled environment agriculture. (16:58)

 The effect consistency in plant shape, size and flavour has on market appeal. (18:02)

 The significant design changes influenced by simulation results. (22:39)

 The initial focus of leafy greens and the potential expansion to berries, mushrooms and algae. (25:35)


Jamil Madanat - https://www.linkedin.com/in/jamilmadanat/
GreenForges - https://www.linkedin.com/company/greenforges/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Agriculture #Innovation #SustainableFarming #Technology #GreenForges #UnderGroundFarming #Sustainability #Engineering #AgTech #Food #Simcenter</description>
      <pubDate>Tue, 14 Nov 2023 13:00:00 -0000</pubDate>
      <itunes:title>Taking Agriculture Underground</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/9baf126a-78ac-11ee-89ed-83ee14a44cbb/image/104a3e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Jamil Madanat</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Jamil Madanat, Chief Technology Officer of GreenForges, for a fascinating discussion about the innovative approach of GreenForges in agriculture and the potential of underground farming.
Key Takeaways:

 Repurposing LED heat waste for buildings.﻿ (07:40)

 A controlled environment offers predictable crop growth amidst climate crisis. (07:53)

 Underground farming: protection from pests, weather and contamination. (08:19)

The four phases of plant growth in GreenForges’ system. (14:19) 

 Proper monitoring of plant conditions and ensuring optimal growth. (15:37)

The role sensors and cameras play in monitoring plant health. (16:10) 

 The potential for flavour engineering in controlled environment agriculture. (16:58)

 The effect consistency in plant shape, size and flavour has on market appeal. (18:02)

 The significant design changes influenced by simulation results. (22:39)

 The initial focus of leafy greens and the potential expansion to berries, mushrooms and algae. (25:35)


Jamil Madanat - https://www.linkedin.com/in/jamilmadanat/
GreenForges - https://www.linkedin.com/company/greenforges/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Agriculture #Innovation #SustainableFarming #Technology #GreenForges #UnderGroundFarming #Sustainability #Engineering #AgTech #Food #Simcenter</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/jamilmadanat/">Jamil Madanat</a>, Chief Technology Officer of <a href="https://www.linkedin.com/company/greenforges/">GreenForges</a>, for a fascinating discussion about the innovative approach of GreenForges in agriculture and the potential of underground farming.</p><p><strong>Key Takeaways:</strong></p><ul>
<li> Repurposing LED heat waste for buildings.<strong>﻿ </strong>(07:40)</li>
<li> A controlled environment offers predictable crop growth amidst climate crisis. (07:53)</li>
<li> Underground farming: protection from pests, weather and contamination. (08:19)</li>
<li>The four phases of plant growth in GreenForges’ system. (14:19) </li>
<li> Proper monitoring of plant conditions and ensuring optimal growth. (15:37)</li>
<li>The role sensors and cameras play in monitoring plant health. (16:10) </li>
<li> The potential for flavour engineering in controlled environment agriculture. (16:58)</li>
<li> The effect consistency in plant shape, size and flavour has on market appeal. (18:02)</li>
<li> The significant design changes influenced by simulation results. (22:39)</li>
<li> The initial focus of leafy greens and the potential expansion to berries, mushrooms and algae. (25:35)</li>
</ul><p><br></p><p><a href="https://www.linkedin.com/in/jamilmadanat/">Jamil Madanat</a> - https://www.linkedin.com/in/jamilmadanat/</p><p><a href="https://www.linkedin.com/company/greenforges/">GreenForges</a> - https://www.linkedin.com/company/greenforges/</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p>#Agriculture #Innovation #SustainableFarming #Technology #GreenForges #UnderGroundFarming #Sustainability #Engineering #AgTech #Food #Simcenter</p>]]>
      </content:encoded>
      <itunes:duration>1869</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9baf126a-78ac-11ee-89ed-83ee14a44cbb]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4194706989.mp3?updated=1700855563" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Digital Transformation in the Built Environment with Salla Eckhardt</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/digital-transformation-in-the-built-environment-with-salla-eckhardt/</link>
      <description>On today’s episode, we’re joined by Salla Eckhardt, Vice President of Innovation at OAC Services, Inc., which provides innovative building and process solutions to its clients. Salla discusses digital transformation in her industry and her experiences.
We talk about:

Salla’s passion for the built environment.

Some of the biggest current challenges with the built environment.

Real estate versus the construction industry.

Why is digital transformation necessary in the built environment industry?

Using simulations to identify and fix issues with the built environment.

Using AI in the built environment.

Using data to build more durable and resilient structures.



Salla Eckhardt - https://www.linkedin.com/in/sallaeckhardt/
OAC Services, Inc. - https://www.linkedin.com/company/oac-services-inc/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Productivity #Sustainability #AECO #BuiltEnvironment #Energy #Simcenter</description>
      <pubDate>Wed, 01 Nov 2023 14:10:00 -0000</pubDate>
      <itunes:title>Digital Transformation in the Built Environment</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6b132dbc-78c0-11ee-a82b-af39e1e9d8ea/image/14b34b.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Salla Eckhardt</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Salla Eckhardt, Vice President of Innovation at OAC Services, Inc., which provides innovative building and process solutions to its clients. Salla discusses digital transformation in her industry and her experiences.
We talk about:

Salla’s passion for the built environment.

Some of the biggest current challenges with the built environment.

Real estate versus the construction industry.

Why is digital transformation necessary in the built environment industry?

Using simulations to identify and fix issues with the built environment.

Using AI in the built environment.

Using data to build more durable and resilient structures.



Salla Eckhardt - https://www.linkedin.com/in/sallaeckhardt/
OAC Services, Inc. - https://www.linkedin.com/company/oac-services-inc/
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
#Productivity #Sustainability #AECO #BuiltEnvironment #Energy #Simcenter</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/sallaeckhardt/">Salla Eckhardt</a>, Vice President of Innovation at <a href="https://www.linkedin.com/company/oac-services-inc/">OAC Services, Inc</a>., which provides innovative building and process solutions to its clients. Salla discusses digital transformation in her industry and her experiences.</p><p>We talk about:</p><ul>
<li>Salla’s passion for the built environment.</li>
<li>Some of the biggest current challenges with the built environment.</li>
<li>Real estate versus the construction industry.</li>
<li>Why is digital transformation necessary in the built environment industry?</li>
<li>Using simulations to identify and fix issues with the built environment.</li>
<li>Using AI in the built environment.</li>
<li>Using data to build more durable and resilient structures.</li>
<li><br></li>
</ul><p><a href="https://www.linkedin.com/in/sallaeckhardt/">Salla Eckhardt</a> - https://www.linkedin.com/in/sallaeckhardt/</p><p><a href="https://www.linkedin.com/company/oac-services-inc/">OAC Services, Inc</a>. - https://www.linkedin.com/company/oac-services-inc/</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p><p>#Productivity #Sustainability #AECO #BuiltEnvironment #Energy #Simcenter</p>]]>
      </content:encoded>
      <itunes:duration>2303</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6b132dbc-78c0-11ee-a82b-af39e1e9d8ea]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4684840072.mp3?updated=1700855707" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Breathing Life Into the Digital Twin with Daniel Reed at MxD</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/breathing-life-into-the-digital-twin-with-daniel-reed-at-mxd/</link>
      <description>In this episode we explore one of the best examples of a living (and literally) breathing digital twin, a “lung in the loop” model that allows a single ventilator to be used to assist the breathing of multiple patients. 
We’re joined by Daniel Reed, Senior R&amp;D Project Manager at MxD, a public-private partnership that matches federal investment with private investment to advance digital manufacturing technology for the US manufacturing industry.
We talk about:

Working in MxD’s “future factory” in Chicago.

Using sensors and networks to create smarter factories.

The role of digital twins in the factory of the future.

The “lung in the loop” model — using digital twins to deal with ventilator shortages during Covid.

How digital twins process data.

The potential of having digital twins in hospitals around the world.

Why isn’t there more data sharing in manufacturing right now?

What’s next with the lung in the loop model?

The exciting future of digital twins.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</description>
      <pubDate>Wed, 18 Oct 2023 09:43:00 -0000</pubDate>
      <itunes:title>Breathing Life Into the Digital Twin </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>3</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3aef1534-6cf3-11ee-834a-f359600d7862/image/ae77f1.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Daniel Reed at MxD</itunes:subtitle>
      <itunes:summary>In this episode we explore one of the best examples of a living (and literally) breathing digital twin, a “lung in the loop” model that allows a single ventilator to be used to assist the breathing of multiple patients. 
We’re joined by Daniel Reed, Senior R&amp;D Project Manager at MxD, a public-private partnership that matches federal investment with private investment to advance digital manufacturing technology for the US manufacturing industry.
We talk about:

Working in MxD’s “future factory” in Chicago.

Using sensors and networks to create smarter factories.

The role of digital twins in the factory of the future.

The “lung in the loop” model — using digital twins to deal with ventilator shortages during Covid.

How digital twins process data.

The potential of having digital twins in hospitals around the world.

Why isn’t there more data sharing in manufacturing right now?

What’s next with the lung in the loop model?

The exciting future of digital twins.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode we explore one of the best examples of a living (and literally) breathing digital twin, a “lung in the loop” model that allows a single ventilator to be used to assist the breathing of multiple patients. </p><p>We’re joined by <a href="https://www.linkedin.com/in/daniel-reed-128161a8/">Daniel Reed</a>, Senior R&amp;D Project Manager at <a href="https://www.linkedin.com/company/mxd/">MxD</a>, a public-private partnership that matches federal investment with private investment to advance digital manufacturing technology for the US manufacturing industry.</p><p>We talk about:</p><ul>
<li>Working in MxD’s “future factory” in Chicago.</li>
<li>Using sensors and networks to create smarter factories.</li>
<li>The role of digital twins in the factory of the future.</li>
<li>The “lung in the loop” model — using digital twins to deal with ventilator shortages during Covid.</li>
<li>How digital twins process data.</li>
<li>The potential of having digital twins in hospitals around the world.</li>
<li>Why isn’t there more data sharing in manufacturing right now?</li>
<li>What’s next with the lung in the loop model?</li>
<li>The exciting future of digital twins.</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p>]]>
      </content:encoded>
      <itunes:duration>2006</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[3aef1534-6cf3-11ee-834a-f359600d7862]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3479962019.mp3?updated=1700855766" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Boosting Norwegian Hydropower using Executable Digital Twin</title>
      <description>In the battle to decarbonize our electricity supply hydropower is a key weapon (in those places where geography permits). It can be either a source of green energy (as rain fills up mountain reservoirs) or, in the case of pumped hydro, a partially “self-recharging battery”, storing excessive green energy for later use. 
Dialing hydro power up and down in response to demand has its own challenges though, due to the massive scale of these plants and the consequence of forces generated by millions of liters of water cascading from a great height. 
In the latest episode of the Engineer Innovation podcast, I talk to Flow Design Bureau’s Morten Kjeldsen about using engineering simulation to create “virtual sensors” that allow operators to understand how a hydro power station is performing in real time. 
“We have tens of kilometers of piping and tunnels filled with water running through a penstock which takes water for a high level to the turbine - it can be anything from 200 to 1200 meter's of head. You have all this inertia when you change your operating conditions, which can generate massive oscillations. If you’re not very careful, bad things can happen…” 
Morten Kjeldsen, Flow Design Bureau 

The challenges of running a demand responsive hydro power plant 

The consequences of getting your flow control one 

Building virtual sensors using simulation an edge computing 

The digital twin from the plant operators perspective 

Using legacy equipment outside of its original design parameters 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast. </description>
      <pubDate>Tue, 03 Oct 2023 11:00:00 -0000</pubDate>
      <itunes:title>Boosting Norwegian Hydropower using Executable Digital Twin</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>13</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/cd65c968-5947-11ee-bddc-1be7d675e4b5/image/09a9f9.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Morten Kjeldsen</itunes:subtitle>
      <itunes:summary>In the battle to decarbonize our electricity supply hydropower is a key weapon (in those places where geography permits). It can be either a source of green energy (as rain fills up mountain reservoirs) or, in the case of pumped hydro, a partially “self-recharging battery”, storing excessive green energy for later use. 
Dialing hydro power up and down in response to demand has its own challenges though, due to the massive scale of these plants and the consequence of forces generated by millions of liters of water cascading from a great height. 
In the latest episode of the Engineer Innovation podcast, I talk to Flow Design Bureau’s Morten Kjeldsen about using engineering simulation to create “virtual sensors” that allow operators to understand how a hydro power station is performing in real time. 
“We have tens of kilometers of piping and tunnels filled with water running through a penstock which takes water for a high level to the turbine - it can be anything from 200 to 1200 meter's of head. You have all this inertia when you change your operating conditions, which can generate massive oscillations. If you’re not very careful, bad things can happen…” 
Morten Kjeldsen, Flow Design Bureau 

The challenges of running a demand responsive hydro power plant 

The consequences of getting your flow control one 

Building virtual sensors using simulation an edge computing 

The digital twin from the plant operators perspective 

Using legacy equipment outside of its original design parameters 


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>In the battle to decarbonize our electricity supply hydropower is a key weapon (in those places where geography permits). It can be either a source of green energy (as rain fills up mountain reservoirs) or, in the case of pumped hydro, a partially “self-recharging battery”, storing excessive green energy for later use. </p><p>Dialing hydro power up and down in response to demand has its own challenges though, due to the massive scale of these plants and the consequence of forces generated by millions of liters of water cascading from a great height. </p><p>In the latest episode of the Engineer Innovation podcast, I talk to Flow Design Bureau’s Morten Kjeldsen about using engineering simulation to create “virtual sensors” that allow operators to understand how a hydro power station is performing in real time. </p><p><em>“We have tens of kilometers of piping and tunnels filled with water running through a penstock which takes water for a high level to the turbine - it can be anything from 200 to 1200 meter's of head. You have all this inertia when you change your operating conditions, which can generate massive oscillations. If you’re not very careful, bad things can happen…”</em> </p><p class="ql-align-right"><strong>Morten Kjeldsen, Flow Design Bureau</strong> </p><ul>
<li>The challenges of running a demand responsive hydro power plant </li>
<li>The consequences of getting your flow control one </li>
<li>Building virtual sensors using simulation an edge computing </li>
<li>The digital twin from the plant operators perspective </li>
<li>Using legacy equipment outside of its original design parameters </li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. </p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>. </p>]]>
      </content:encoded>
      <itunes:duration>1334</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>Executable Digital Twin: A Smart Watch for Machines </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/executable-digital-twins-a-smartwatch-for-machines/</link>
      <description>Many of us have become almost entirely reliant on our smart watches. My smart watch can tell when I’m stressed. It nags me about not getting enough sleep. It tracks how much I move. It monitors my heart rate 24/7 and predicts how much oxygen is being circulated around my body. And it pings me with an endless stream of social media notifications, that I really should be ignoring.  
But what if this technology was available for machines?  
At engineering school one of the first things, we learn is how we can measure torque and bending on a shaft using strain gauges that convert deformation into an electrical signal that can be measured (and calibrated). But in the words of our guest, Forcebit CEO Jan Croes: 
“And sticking strain gauges on a shaft is not fast, it's not easy, and it's not reliable. Because what you have to do is you have to build up a sensor from scratch onto a shaft in an environment that is oily, that is messy, there is no room. And what you have to do is you have to completely put a barrier shaft, you have to mount strain gauges, you have to wire stuff, you have to balance it, you have to put duct tape around it, and you have to pray that things don't fly off.” 
This edition of the Engineer Innovation Podcast is about the engineering challenges involved in designing Forcebit a device that aims to make measurements on rotary drive systems as fast and easy as putting on a smartwatch. This is an important application of the digital twin technology in which the combination of simulation and measurement allows virtual sensors to replace physical sensors and increases our understanding of complicated systems. 

The benefits of a combination of virtual and physical sensors over physical sensors alone. 

The engineering technology that allows Forcebit to function 

How data collected from Forcebit can lead to better engineering decisions. 

The sustainability implications of reducing over-engineering through improved data. 

How engineering simulation empowers startup companies to get their product to market more quickly. 

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast. </description>
      <pubDate>Tue, 19 Sep 2023 14:27:00 -0000</pubDate>
      <itunes:title>Executable Digital Twin: A Smart Watch for Machines </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>12</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8f37f20a-560f-11ee-ae02-d717d6da02e1/image/612167.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Jan Croes</itunes:subtitle>
      <itunes:summary>Many of us have become almost entirely reliant on our smart watches. My smart watch can tell when I’m stressed. It nags me about not getting enough sleep. It tracks how much I move. It monitors my heart rate 24/7 and predicts how much oxygen is being circulated around my body. And it pings me with an endless stream of social media notifications, that I really should be ignoring.  
But what if this technology was available for machines?  
At engineering school one of the first things, we learn is how we can measure torque and bending on a shaft using strain gauges that convert deformation into an electrical signal that can be measured (and calibrated). But in the words of our guest, Forcebit CEO Jan Croes: 
“And sticking strain gauges on a shaft is not fast, it's not easy, and it's not reliable. Because what you have to do is you have to build up a sensor from scratch onto a shaft in an environment that is oily, that is messy, there is no room. And what you have to do is you have to completely put a barrier shaft, you have to mount strain gauges, you have to wire stuff, you have to balance it, you have to put duct tape around it, and you have to pray that things don't fly off.” 
This edition of the Engineer Innovation Podcast is about the engineering challenges involved in designing Forcebit a device that aims to make measurements on rotary drive systems as fast and easy as putting on a smartwatch. This is an important application of the digital twin technology in which the combination of simulation and measurement allows virtual sensors to replace physical sensors and increases our understanding of complicated systems. 

The benefits of a combination of virtual and physical sensors over physical sensors alone. 

The engineering technology that allows Forcebit to function 

How data collected from Forcebit can lead to better engineering decisions. 

The sustainability implications of reducing over-engineering through improved data. 

How engineering simulation empowers startup companies to get their product to market more quickly. 

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. 
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Many of us have become almost entirely reliant on our smart watches. My smart watch can tell when I’m stressed. It nags me about not getting enough sleep. It tracks how much I move. It monitors my heart rate 24/7 and predicts how much oxygen is being circulated around my body. And it pings me with an endless stream of social media notifications, that I really should be ignoring.  </p><p>But what if this technology was available for machines?  </p><p>At engineering school one of the first things, we learn is how we can measure torque and bending on a shaft using strain gauges that convert deformation into an electrical signal that can be measured (and calibrated). But in the words of our guest, Forcebit CEO Jan Croes: </p><p><em>“And sticking strain gauges on a shaft is not fast, it's not easy, and it's not reliable. Because what you have to do is you have to build up a sensor from scratch onto a shaft in an environment that is oily, that is messy, there is no room. And what you have to do is you have to completely put a barrier shaft, you have to mount strain gauges, you have to wire stuff, you have to balance it, you have to put duct tape around it, and you have to pray that things don't fly off.”</em> </p><p>This edition of the Engineer Innovation Podcast is about the engineering challenges involved in designing Forcebit a device that aims to make measurements on rotary drive systems as fast and easy as putting on a smartwatch. This is an important application of the digital twin technology in which the combination of simulation and measurement allows virtual sensors to replace physical sensors and increases our understanding of complicated systems. </p><ul>
<li>The benefits of a combination of virtual and physical sensors over physical sensors alone. </li>
<li>The engineering technology that allows Forcebit to function </li>
<li>How data collected from Forcebit can lead to better engineering decisions. </li>
<li>The sustainability implications of reducing over-engineering through improved data. </li>
<li>How engineering simulation empowers startup companies to get their product to market more quickly. </li>
</ul><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. </p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>. </p>]]>
      </content:encoded>
      <itunes:duration>1250</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2634665189.mp3?updated=1697623214" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Realize Live 2023 - Day 2 Wrap-up</title>
      <description>What happened on day 2 of Realize LIVE Europe? Hosts Stephen Ferguson and Chad Ghalamzan reflect on the valuable insights gained from attending the event in this special episode.
Stephen had some amazing one-on-one interviews with customers. Chad attended numerous presentations and shared different perspectives on the topics covered.
Realize LIVE is an annual event that brings together Siemens software customers, partners, and experts to discuss various topics, including digital transformation, sustainability, and artificial intelligence. The event took place in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany, and it was an incredible success.
We are thrilled to present this three-part series highlighting the key takeaways from Realize LIVE Europe. You'll gain insights from attendees, summaries of keynote speeches and presentations, and a recap of anything you missed if you could not attend. It's a fantastic opportunity to learn and grow, and we hope you'll join us.
And don't forget - Realize LIVE 2024 is just around the corner! Visit https://events.sw.siemens.com/en-US/realizelive/ to save the date and ensure you don't miss out on this incredible event.
This episode of the Engineer Innovation podcast is sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future. We are passionate about what we do and excited to share our insights with you.
If you enjoyed this episode, please follow us and leave a 5-star review.</description>
      <pubDate>Fri, 08 Sep 2023 10:22:00 -0000</pubDate>
      <itunes:title>Realize Live 2023 - Day 2 Wrap-up</itunes:title>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/97d84b0c-4e31-11ee-905a-ab81e4f2af4d/image/ee9d47.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>What happened on day 2 of Realize LIVE Europe? Hosts Stephen Ferguson and Chad Ghalamzan reflect on the valuable insights gained from attending the event in this special episode.
Stephen had some amazing one-on-one interviews with customers. Chad attended numerous presentations and shared different perspectives on the topics covered.
Realize LIVE is an annual event that brings together Siemens software customers, partners, and experts to discuss various topics, including digital transformation, sustainability, and artificial intelligence. The event took place in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany, and it was an incredible success.
We are thrilled to present this three-part series highlighting the key takeaways from Realize LIVE Europe. You'll gain insights from attendees, summaries of keynote speeches and presentations, and a recap of anything you missed if you could not attend. It's a fantastic opportunity to learn and grow, and we hope you'll join us.
And don't forget - Realize LIVE 2024 is just around the corner! Visit https://events.sw.siemens.com/en-US/realizelive/ to save the date and ensure you don't miss out on this incredible event.
This episode of the Engineer Innovation podcast is sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future. We are passionate about what we do and excited to share our insights with you.
If you enjoyed this episode, please follow us and leave a 5-star review.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>What happened on day 2 of Realize LIVE Europe? Hosts Stephen Ferguson and Chad Ghalamzan reflect on the valuable insights gained from attending the event in this special episode.</p><p>Stephen had some amazing one-on-one interviews with customers. Chad attended numerous presentations and shared different perspectives on the topics covered.</p><p>Realize LIVE is an annual event that brings together Siemens software customers, partners, and experts to discuss various topics, including digital transformation, sustainability, and artificial intelligence. The event took place in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany, and it was an incredible success.</p><p>We are thrilled to present this three-part series highlighting the key takeaways from Realize LIVE Europe. You'll gain insights from attendees, summaries of keynote speeches and presentations, and a recap of anything you missed if you could not attend. It's a fantastic opportunity to learn and grow, and we hope you'll join us.</p><p>And don't forget - Realize LIVE 2024 is just around the corner! Visit <a href="https://events.sw.siemens.com/en-US/realizelive/">https://events.sw.siemens.com/en-US/realizelive/</a> to save the date and ensure you don't miss out on this incredible event.</p><p>This episode of the Engineer Innovation podcast is sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future. We are passionate about what we do and excited to share our insights with you.</p><p>If you enjoyed this episode, please follow us and leave a 5-star review.</p>]]>
      </content:encoded>
      <itunes:duration>1057</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[97d84b0c-4e31-11ee-905a-ab81e4f2af4d]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE8610522276.mp3?updated=1694168841" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Realize Live 2023 - Day 1 Wrap Up</title>
      <description>Welcome to a special episode of the Engineer Innovation podcast. In this podcast, hosts Stephen Ferguson and Chad Ghalamzan share their expert insights on Day 1 of the Siemens Realize LIVE Europe event.
Realize LIVE is an annual gathering of Siemens software customers, partners, and experts on cutting-edge topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.
Through this three-part podcast series, we will provide key takeaways from Realize LIVE Europe, including attendee insights, keynote speeches and presentations, and a recap of anything you may have missed.
Don't miss out on Realize LIVE 2024 - mark your calendars now! For more information, visit https://events.sw.siemens.com/en-US/realizelive/.
This episode of the Engineer Innovation podcast is proudly sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future.
If you enjoyed this episode, please follow us and leave a 5-star review to help spread the word about the show. For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.
 </description>
      <pubDate>Fri, 08 Sep 2023 10:16:00 -0000</pubDate>
      <itunes:title>Realize Live 2023 - Day 1 Wrap Up</itunes:title>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/eb93ce20-4e30-11ee-a7dc-93eaa63c07f6/image/313456.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Welcome to a special episode of the Engineer Innovation podcast. In this podcast, hosts Stephen Ferguson and Chad Ghalamzan share their expert insights on Day 1 of the Siemens Realize LIVE Europe event.
Realize LIVE is an annual gathering of Siemens software customers, partners, and experts on cutting-edge topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.
Through this three-part podcast series, we will provide key takeaways from Realize LIVE Europe, including attendee insights, keynote speeches and presentations, and a recap of anything you may have missed.
Don't miss out on Realize LIVE 2024 - mark your calendars now! For more information, visit https://events.sw.siemens.com/en-US/realizelive/.
This episode of the Engineer Innovation podcast is proudly sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future.
If you enjoyed this episode, please follow us and leave a 5-star review to help spread the word about the show. For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.
 </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to a special episode of the Engineer Innovation podcast. In this podcast, hosts Stephen Ferguson and Chad Ghalamzan share their expert insights on Day 1 of the Siemens Realize LIVE Europe event.</p><p>Realize LIVE is an annual gathering of Siemens software customers, partners, and experts on cutting-edge topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.</p><p>Through this three-part podcast series, we will provide key takeaways from Realize LIVE Europe, including attendee insights, keynote speeches and presentations, and a recap of anything you may have missed.</p><p>Don't miss out on Realize LIVE 2024 - mark your calendars now! For more information, visit <a href="https://events.sw.siemens.com/en-US/realizelive/">https://events.sw.siemens.com/en-US/realizelive/</a>.</p><p>This episode of the Engineer Innovation podcast is proudly sponsored by Siemens Digital Industries Software, which brings electronics, engineering, and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please follow us and leave a 5-star review to help spread the word about the show. For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.</p><p> </p>]]>
      </content:encoded>
      <itunes:duration>913</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[eb93ce20-4e30-11ee-a7dc-93eaa63c07f6]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1279941896.mp3?updated=1697623314" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Realize Live 2023 - Day 3 Wrap-up</title>
      <description>Welcome to the third and final special edition of the Engineer Innovation podcast. Join Chad and Stephen as they share their thoughts on Day 3 of the Siemens Realize LIVE Europe event. They also interview attendees to get their perspective on the event and what they gained.
Realize LIVE is an annual event that brings together customers, partners, and experts in Siemens software to discuss various topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.
This three-part series highlights the key takeaways from Realize LIVE Europe, including insights from attendees, summaries of the keynote speeches and presentations, and a recap of anything you may have missed if you could not attend.
Don't miss out on Realize LIVE 2024! Visit https://events.sw.siemens.com/en-US/realizelive/ to save the date.
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. 
If you enjoyed this episode, please make sure to follow us. Also, leave a 5-star review to help get the word out about the show.
For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.</description>
      <pubDate>Fri, 08 Sep 2023 10:09:00 -0000</pubDate>
      <itunes:title>Realize Live 2023 - Day 3 Wrap-up</itunes:title>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/64ee1800-216f-11ee-8496-9fc2cc4999c2/image/10e13a.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Welcome to the third and final special edition of the Engineer Innovation podcast. Join Chad and Stephen as they share their thoughts on Day 3 of the Siemens Realize LIVE Europe event. They also interview attendees to get their perspective on the event and what they gained.
Realize LIVE is an annual event that brings together customers, partners, and experts in Siemens software to discuss various topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.
This three-part series highlights the key takeaways from Realize LIVE Europe, including insights from attendees, summaries of the keynote speeches and presentations, and a recap of anything you may have missed if you could not attend.
Don't miss out on Realize LIVE 2024! Visit https://events.sw.siemens.com/en-US/realizelive/ to save the date.
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. 
If you enjoyed this episode, please make sure to follow us. Also, leave a 5-star review to help get the word out about the show.
For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to the third and final special edition of the Engineer Innovation podcast. Join Chad and Stephen as they share their thoughts on Day 3 of the Siemens Realize LIVE Europe event. They also interview attendees to get their perspective on the event and what they gained.</p><p>Realize LIVE is an annual event that brings together customers, partners, and experts in Siemens software to discuss various topics such as digital transformation, sustainability, and artificial intelligence. The event was held in July 2023 at the Infinity Hotel and Conference Center in Munich, Germany.</p><p>This three-part series highlights the key takeaways from Realize LIVE Europe, including insights from attendees, summaries of the keynote speeches and presentations, and a recap of anything you may have missed if you could not attend.</p><p>Don't miss out on Realize LIVE 2024! Visit <a href="https://events.sw.siemens.com/en-US/realizelive/">https://events.sw.siemens.com/en-US/realizelive/</a> to save the date.</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering, and manufacturing together to build a better digital future. </p><p>If you enjoyed this episode, please make sure to follow us. Also, leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on cutting-edge topics, tune into siemens.com/simcenter-podcast.</p>]]>
      </content:encoded>
      <itunes:duration>756</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[64ee1800-216f-11ee-8496-9fc2cc4999c2]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4628429604.mp3?updated=1694168608" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>From Simulation to Sea Trials: the Science of Simulating Ships</title>
      <description>In this episode of the Engineer Innovation podcast we go behind the scenes of the world’s largest ever marine validation experiment, in which 54 teams of engineers compete to simulate the performance of a cruise ship (full of passengers).
My guest is Dmitriy Ponkratov from the Royal Institution of Naval Architects who has been performing marine CFD simulations for more than two decades with Lloyds Register of Shipping and RINA, and who is a veteran of many sea trials.
In this episode we discuss:
● The challenge of meeting IMO’s Zero Carbon Shipping target by 2050
● The pivotal role that simulation plays in designing the ultra-efficient ships required to meet these standards
● Exploring novel marine propulsion systems
● Establishing trust in CFD simulation as an alternative to towing tanks and sea trials
● Creating a dataset of sea trial data that can be used to validate CFD simulations at full scale and in real world conditions
● A massive validation effort that includes 54 companies and institutions.
● How CFD engineers deal with sometimes getting the answer wrong
● The Marine Digital Twin
● Artificial Intelligence and Machine Learning as applied to the marine industry
● Conducting sea trials on a cruise ship full of gin-and-tonic sipping passengers
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</description>
      <pubDate>Mon, 04 Sep 2023 09:26:00 -0000</pubDate>
      <itunes:title>From Simulation to Sea Trials: the Science of Simulating Ships </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>11</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ac21648-48b4-11ee-b7d0-eba12c605c93/image/dc1384.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Dmitriy Ponkratov</itunes:subtitle>
      <itunes:summary>In this episode of the Engineer Innovation podcast we go behind the scenes of the world’s largest ever marine validation experiment, in which 54 teams of engineers compete to simulate the performance of a cruise ship (full of passengers).
My guest is Dmitriy Ponkratov from the Royal Institution of Naval Architects who has been performing marine CFD simulations for more than two decades with Lloyds Register of Shipping and RINA, and who is a veteran of many sea trials.
In this episode we discuss:
● The challenge of meeting IMO’s Zero Carbon Shipping target by 2050
● The pivotal role that simulation plays in designing the ultra-efficient ships required to meet these standards
● Exploring novel marine propulsion systems
● Establishing trust in CFD simulation as an alternative to towing tanks and sea trials
● Creating a dataset of sea trial data that can be used to validate CFD simulations at full scale and in real world conditions
● A massive validation effort that includes 54 companies and institutions.
● How CFD engineers deal with sometimes getting the answer wrong
● The Marine Digital Twin
● Artificial Intelligence and Machine Learning as applied to the marine industry
● Conducting sea trials on a cruise ship full of gin-and-tonic sipping passengers
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Engineer Innovation podcast we go behind the scenes of the world’s largest ever marine validation experiment, in which 54 teams of engineers compete to simulate the performance of a cruise ship (full of passengers).</p><p>My guest is Dmitriy Ponkratov from the Royal Institution of Naval Architects who has been performing marine CFD simulations for more than two decades with Lloyds Register of Shipping and RINA, and who is a veteran of many sea trials.</p><p>In this episode we discuss:</p><p>● The challenge of meeting IMO’s Zero Carbon Shipping target by 2050</p><p>● The pivotal role that simulation plays in designing the ultra-efficient ships required to meet these standards</p><p>● Exploring novel marine propulsion systems</p><p>● Establishing trust in CFD simulation as an alternative to towing tanks and sea trials</p><p>● Creating a dataset of sea trial data that can be used to validate CFD simulations at full scale and in real world conditions</p><p>● A massive validation effort that includes 54 companies and institutions.</p><p>● How CFD engineers deal with sometimes getting the answer wrong</p><p>● The Marine Digital Twin</p><p>● Artificial Intelligence and Machine Learning as applied to the marine industry</p><p>● Conducting sea trials on a cruise ship full of gin-and-tonic sipping passengers</p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</p>]]>
      </content:encoded>
      <itunes:duration>1984</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1ac21648-48b4-11ee-b7d0-eba12c605c93]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1826008838.mp3?updated=1697623401" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Getting Started With AI and Machine Learning</title>
      <description>In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations. 
 
We talk about: 

Using ChatGPT to massively increase engineering productivity 

The key steps required to perform any AI or Machine Learning project 

Some common pitfalls 

A way to rapidly assess which AI approach is most useful for your project 

Learning resources that will allow you to get started in AI today 


This podcast is available to watch (including the Part 2 Demo) at https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.  
Here are the links to the resources mentioned in this episode: 

A bunny jumping on the back of a dog (created in Mid Journey AI) : https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/ 

Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : https://www.kaggle.com/competitions/digit-recognizer/overview 

Machine Learning Specialization Coursera: https://www.coursera.org/specializations/machine-learning-introduction 

Justin’s DataSet: https://www.kaggle.com/datasets/camnugent/california-housing-prices 

Lazy Predict: https://pypi.org/project/lazypredict/ 

Simcenter Studio: https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/ 

Justin’s LinkedIn profile: https://www.linkedin.com/in/justin-hodges-phd-3432a58b/ 

 
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. </description>
      <pubDate>Tue, 22 Aug 2023 12:18:00 -0000</pubDate>
      <itunes:title>Getting Started With AI and Machine Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b4bc1c8-4030-11ee-a7fe-3b2c2f574feb/image/781b57.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Justin Hodges</itunes:subtitle>
      <itunes:summary>In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations. 
 
We talk about: 

Using ChatGPT to massively increase engineering productivity 

The key steps required to perform any AI or Machine Learning project 

Some common pitfalls 

A way to rapidly assess which AI approach is most useful for your project 

Learning resources that will allow you to get started in AI today 


This podcast is available to watch (including the Part 2 Demo) at https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.  
Here are the links to the resources mentioned in this episode: 

A bunny jumping on the back of a dog (created in Mid Journey AI) : https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/ 

Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : https://www.kaggle.com/competitions/digit-recognizer/overview 

Machine Learning Specialization Coursera: https://www.coursera.org/specializations/machine-learning-introduction 

Justin’s DataSet: https://www.kaggle.com/datasets/camnugent/california-housing-prices 

Lazy Predict: https://pypi.org/project/lazypredict/ 

Simcenter Studio: https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/ 

Justin’s LinkedIn profile: https://www.linkedin.com/in/justin-hodges-phd-3432a58b/ 

 
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of the Engineer Innovation podcast AI Expert Justin Hodges and (not so expert) Stephen Ferguson explain how engineers can start using Artificial Intelligence and Machine Learning TODAY, and quickly achieve massive productivity savings and extra insight into their simulations. </p><p> </p><p>We talk about: </p><ul>
<li>Using ChatGPT to massively increase engineering productivity </li>
<li>The key steps required to perform any AI or Machine Learning project </li>
<li>Some common pitfalls </li>
<li>A way to rapidly assess which AI approach is most useful for your project </li>
<li>Learning resources that will allow you to get started in AI today </li>
</ul><p><br></p><p>This podcast is available to watch (including the Part 2 Demo) at <a href="https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.">https://www.youtube.com/playlist?list=PL1m1vu8_quoAqrddwd2i9HtPpp4xmWBzo.</a>  </p><p>Here are the links to the resources mentioned in this episode: </p><ul>
<li>A bunny jumping on the back of a dog (created in Mid Journey AI) : <a href="https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/">https://www.midjourney.com/app/jobs/85804705-d9e5-47fe-aa57-1d5229bd9935/</a> </li>
<li>Kaggle Machine Learning Competitions - including the Digit Recognizer competition in which Stephen ranked 563 : <a href="https://www.kaggle.com/competitions/digit-recognizer/overview">https://www.kaggle.com/competitions/digit-recognizer/overview</a> </li>
<li>Machine Learning Specialization Coursera: <a href="https://www.coursera.org/specializations/machine-learning-introduction">https://www.coursera.org/specializations/machine-learning-introduction</a> </li>
<li>Justin’s DataSet: <a href="https://www.kaggle.com/datasets/camnu">https://www.kaggle.com/datasets/camnu</a>gent/california-housing-prices </li>
<li>Lazy Predict: <a href="https://pypi.org/project/lazypredict/">https://pypi.org/project/lazypredict/</a> </li>
<li>Simcenter Studio: <a href="https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/">https://plm.sw.siemens.com/en-US/simcenter/integration-solutions/studio/</a> </li>
<li>Justin’s LinkedIn profile: <a href="https://www.linkedin.com/in/justin-hodges-phd-3432a58b/">https://www.linkedin.com/in/justin-hodges-phd-3432a58b/</a> </li>
</ul><p> </p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future. </p>]]>
      </content:encoded>
      <itunes:duration>2000</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0b4bc1c8-4030-11ee-a7fe-3b2c2f574feb]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4582513252.mp3?updated=1697623433" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Sensible Digital Transformation </title>
      <description>On today’s episode, we’re joined by Dave Griffith, Co-Host of the Manufacturing Hub Podcast, a show for manufacturing and industrial professionals seeking the best education and inspiration for how to improve their business and career. We talk about:

Why Dave is so passionate about manufacturing.

Why is manufacturing the “wild west,” according to Dave Griffith?

The different factors driving digitization in manufacturing.

What is “sensible digital transformation”? And why is it so important to be sensible?

Are people unrealistic about the effort involved in digital transformation?

How simulation and digital twins can drive digital transformation.

How machine learning and AI can help with sensible digital transformation.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.
#Productivity #Construction #Manufacturing #Machinery #Structures</description>
      <pubDate>Tue, 27 Jun 2023 15:17:00 -0000</pubDate>
      <itunes:title>Sensible Digital Transformation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/23b9b416-14fe-11ee-bc5e-13adf290192a/image/f2edcf.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle> with Dave Griffith at the Manufacturing Hub Podcast</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Dave Griffith, Co-Host of the Manufacturing Hub Podcast, a show for manufacturing and industrial professionals seeking the best education and inspiration for how to improve their business and career. We talk about:

Why Dave is so passionate about manufacturing.

Why is manufacturing the “wild west,” according to Dave Griffith?

The different factors driving digitization in manufacturing.

What is “sensible digital transformation”? And why is it so important to be sensible?

Are people unrealistic about the effort involved in digital transformation?

How simulation and digital twins can drive digital transformation.

How machine learning and AI can help with sensible digital transformation.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.
#Productivity #Construction #Manufacturing #Machinery #Structures</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/davegriffith23/">Dave Griffith</a>, Co-Host of the <a href="https://www.manufacturinghub.live/">Manufacturing Hub Podcast</a>, a show for manufacturing and industrial professionals seeking the best education and inspiration for how to improve their business and career. We talk about:</p><ul>
<li>Why Dave is so passionate about manufacturing.</li>
<li>Why is manufacturing the “wild west,” according to Dave Griffith?</li>
<li>The different factors driving digitization in manufacturing.</li>
<li>What is “sensible digital transformation”? And why is it so important to be sensible?</li>
<li>Are people unrealistic about the effort involved in digital transformation?</li>
<li>How simulation and digital twins can drive digital transformation.</li>
<li>How machine learning and AI can help with sensible digital transformation.</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p>#Productivity #Construction #Manufacturing #Machinery #Structures</p>]]>
      </content:encoded>
      <itunes:duration>2559</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[23b9b416-14fe-11ee-bc5e-13adf290192a]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE5826649887.mp3?updated=1697623648" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The past, present and future of CFD </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/</link>
      <description>On today’s episode of the Engineer Innovation Podcast, we’re joined by reformed engine combustion simulation expert Dr Simon Fischer, who traded in a stable career in engine simulation to become an expert in storytelling through simulation. In this episode we discuss

Why Simon decided to get out of the engine simulation game.

Which sort of CFD engineers are the most competent

How the scope of CFD has, and is still changing

The value of a multidisciplinary approach to simulation

The risks and benefits of Artificial Intelligence and Machine Learning

A cat wearing a frog hat

Massive Engineering Data Analytics

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</description>
      <pubDate>Thu, 22 Jun 2023 10:15:00 -0000</pubDate>
      <itunes:title>The past, present and future of CFD </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/6d45437c-10dd-11ee-bd11-eb3f22d5460e/image/3a06c5.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Dr. Simon Fischer</itunes:subtitle>
      <itunes:summary>On today’s episode of the Engineer Innovation Podcast, we’re joined by reformed engine combustion simulation expert Dr Simon Fischer, who traded in a stable career in engine simulation to become an expert in storytelling through simulation. In this episode we discuss

Why Simon decided to get out of the engine simulation game.

Which sort of CFD engineers are the most competent

How the scope of CFD has, and is still changing

The value of a multidisciplinary approach to simulation

The risks and benefits of Artificial Intelligence and Machine Learning

A cat wearing a frog hat

Massive Engineering Data Analytics

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode of the <a href="https://podcasts.apple.com/us/podcast/engineer-innovation/id1570241551">Engineer Innovation Podcast</a>, we’re joined by reformed engine combustion simulation expert <a href="https://www.linkedin.com/in/simonjfischer/">Dr Simon Fischer</a>, who traded in a stable career in engine simulation to become an expert in storytelling through simulation. In this episode we discuss</p><ul>
<li>Why Simon decided to get out of the engine simulation game.</li>
<li>Which sort of CFD engineers are the most competent</li>
<li>How the scope of CFD has, and is still changing</li>
<li>The value of a multidisciplinary approach to simulation</li>
<li>The risks and benefits of Artificial Intelligence and Machine Learning</li>
<li>A cat wearing a frog hat</li>
<li>Massive Engineering Data Analytics</li>
</ul><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p>]]>
      </content:encoded>
      <itunes:duration>1960</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6d45437c-10dd-11ee-bd11-eb3f22d5460e]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2379363151.mp3?updated=1697623782" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Big Pharma and the Digital Twin </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/big-pharma-and-the-digital-twin-with-john-perrigue-season-2episode-6/</link>
      <description>On today’s episode, we’re joined by John Perrigue, who is the Head of Digital Operations &amp; Smart Manufacturing - Life Sciences at EMD Millipore and Senior Director at Johnson &amp; Johnson, Digital Process Design. We talk about:

How John first got involved with simulation and testing at Johnson &amp; Johnson.

How J&amp;J uses digital twins and the benefits of this.

How J&amp;J’s simulation capacity grew and scaled over time.

Tackling the human element involved in scaling.

Do you need a Ph.D. to use Computational Fluid Dynamics (CFD)?

Did Covid accelerate the use of simulation in the pharmaceutical industry?

What is the endgame for automation optimization?

The benefit to patients from this technology.


John Perrigue - https://www.linkedin.com/in/john-perrigue/

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</description>
      <pubDate>Mon, 12 Jun 2023 12:49:00 -0000</pubDate>
      <itunes:title>Big Pharma and the Digital Twin</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/34a44a22-0921-11ee-a937-13dc6d904889/image/1765d0.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with John Perrigue at EMD Millipore</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by John Perrigue, who is the Head of Digital Operations &amp; Smart Manufacturing - Life Sciences at EMD Millipore and Senior Director at Johnson &amp; Johnson, Digital Process Design. We talk about:

How John first got involved with simulation and testing at Johnson &amp; Johnson.

How J&amp;J uses digital twins and the benefits of this.

How J&amp;J’s simulation capacity grew and scaled over time.

Tackling the human element involved in scaling.

Do you need a Ph.D. to use Computational Fluid Dynamics (CFD)?

Did Covid accelerate the use of simulation in the pharmaceutical industry?

What is the endgame for automation optimization?

The benefit to patients from this technology.


John Perrigue - https://www.linkedin.com/in/john-perrigue/

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/john-perrigue/">John Perrigue</a>, who is the Head of Digital Operations &amp; Smart Manufacturing - Life Sciences at EMD Millipore and Senior Director at Johnson &amp; Johnson, Digital Process Design. We talk about:</p><ul>
<li>How John first got involved with simulation and testing at Johnson &amp; Johnson.</li>
<li>How J&amp;J uses digital twins and the benefits of this.</li>
<li>How J&amp;J’s simulation capacity grew and scaled over time.</li>
<li>Tackling the human element involved in scaling.</li>
<li>Do you need a Ph.D. to use Computational Fluid Dynamics (CFD)?</li>
<li>Did Covid accelerate the use of simulation in the pharmaceutical industry?</li>
<li>What is the endgame for automation optimization?</li>
<li>The benefit to patients from this technology.</li>
</ul><p><br></p><p><a href="https://www.linkedin.com/in/john-perrigue/">John Perrigue</a> - https://www.linkedin.com/in/john-perrigue/</p><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p>]]>
      </content:encoded>
      <itunes:duration>1664</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[34a44a22-0921-11ee-a937-13dc6d904889]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7886146974.mp3?updated=1697623872" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Truth about AI in Engineering </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/the-truth-about-ai-in-engineering-with-jousef-murad-season-2-bonus-episode/</link>
      <description>In a special Season 2 Bonus Episode we take a brutally honest look into Artificial Intelligence and Machine Learning to try and dispel some of the hype that has built up around topic, and to see if we can distinguish what is possible now, and what might be possible in the future of AI.
In this episode, you will learn about:

How AI will change the profile of engineers in the future

The role that AI will play in the future of engineering

Extracting more value from simulation and test

Using AI to reduce mundane and repetitive tasks in engineering

Formalising the transfer of accumulated experience between projects using ML=

The potential for AI to generate full 3D datasets from existing simulations

ML as a tool for eliminating bias in engineering

How AI is not a "magic pill"

How to get started in AI and ML today</description>
      <pubDate>Tue, 06 Jun 2023 11:15:00 -0000</pubDate>
      <itunes:title>The Truth about AI in Engineering</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/4fc5ff42-03b5-11ee-9d1e-370c985361b1/image/110c5e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with AI expert Jousef Murad from the Engineered Mind Podcast </itunes:subtitle>
      <itunes:summary>In a special Season 2 Bonus Episode we take a brutally honest look into Artificial Intelligence and Machine Learning to try and dispel some of the hype that has built up around topic, and to see if we can distinguish what is possible now, and what might be possible in the future of AI.
In this episode, you will learn about:

How AI will change the profile of engineers in the future

The role that AI will play in the future of engineering

Extracting more value from simulation and test

Using AI to reduce mundane and repetitive tasks in engineering

Formalising the transfer of accumulated experience between projects using ML=

The potential for AI to generate full 3D datasets from existing simulations

ML as a tool for eliminating bias in engineering

How AI is not a "magic pill"

How to get started in AI and ML today</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In a special Season 2 Bonus Episode we take a brutally honest look into Artificial Intelligence and Machine Learning to try and dispel some of the hype that has built up around topic, and to see if we can distinguish what is possible now, and what might be possible in the future of AI.</p><p>In this episode, you will learn about:</p><ul>
<li>How AI will change the profile of engineers in the future</li>
<li>The role that AI will play in the future of engineering</li>
<li>Extracting more value from simulation and test</li>
<li>Using AI to reduce mundane and repetitive tasks in engineering</li>
<li>Formalising the transfer of accumulated experience between projects using ML=</li>
<li>The potential for AI to generate full 3D datasets from existing simulations</li>
<li>ML as a tool for eliminating bias in engineering</li>
<li>How AI is not a "magic pill"</li>
<li>How to get started in AI and ML today</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>2221</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4fc5ff42-03b5-11ee-9d1e-370c985361b1]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE2648484508.mp3?updated=1697623935" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Adapting to a New Era of AI</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/adapting-to-a-new-era-of-ai-with-justin-hodges-and-remi-duquette-series-2-episode-4/</link>
      <description>On today’s episode, we’re joined by Justin Hodges, Senior AI/ML Technical Specialist in Product Management at Siemens Digital Industries Software, and Remi Duquette, Vice-President of Innovation and Industrial AI at Maya HTT.
We talk about:

How ChatGPT has changed public perception and understanding of AI.

How both Justin and Remi found their way into AI, and their journeys so far.

Whether AI is accessible for people without much prior experience.

Some of the best examples of AI and ML today.

The value of digital twins.

The importance of data quality with AI.

How AI and ML can help us explore innovation.

Will AI replace engineers?

How can organizations start implementing ML and AI in their workflows?


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast</description>
      <pubDate>Fri, 26 May 2023 13:03:00 -0000</pubDate>
      <itunes:title>Adapting to a New Era of AI </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/15d6198c-fafc-11ed-8d46-c34731d02956/image/6a46ea.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle> with Justin Hodges and Remi Duquette</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Justin Hodges, Senior AI/ML Technical Specialist in Product Management at Siemens Digital Industries Software, and Remi Duquette, Vice-President of Innovation and Industrial AI at Maya HTT.
We talk about:

How ChatGPT has changed public perception and understanding of AI.

How both Justin and Remi found their way into AI, and their journeys so far.

Whether AI is accessible for people without much prior experience.

Some of the best examples of AI and ML today.

The value of digital twins.

The importance of data quality with AI.

How AI and ML can help us explore innovation.

Will AI replace engineers?

How can organizations start implementing ML and AI in their workflows?


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/justin-hodges-phd-3432a58b/">Justin Hodges</a>, Senior AI/ML Technical Specialist in Product Management at Siemens Digital Industries Software, and <a href="https://www.linkedin.com/in/remi-duquette/?originalSubdomain=ca">Remi Duquette</a>, Vice-President of Innovation and Industrial AI at Maya HTT.</p><p>We talk about:</p><ul>
<li>How ChatGPT has changed public perception and understanding of AI.</li>
<li>How both Justin and Remi found their way into AI, and their journeys so far.</li>
<li>Whether AI is accessible for people without much prior experience.</li>
<li>Some of the best examples of AI and ML today.</li>
<li>The value of digital twins.</li>
<li>The importance of data quality with AI.</li>
<li>How AI and ML can help us explore innovation.</li>
<li>Will AI replace engineers?</li>
<li>How can organizations start implementing ML and AI in their workflows?</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a></p>]]>
      </content:encoded>
      <itunes:duration>2011</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[15d6198c-fafc-11ed-8d46-c34731d02956]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1880688560.mp3?updated=1697624020" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Experiencing the Digital Twin in the Industrial Universe</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/experiencing-digital-twins-in-the-industrial-metaverse-with-virginie-maillard-series-2-episode-3/</link>
      <description>On today’s episode of the Engineer Innovation podcast, we’re joined by Virginie Maillard, Head of Global Research in Simulation and Digital Twin at Siemens. She’s here to talk about the role of the digital twin in the emerging industrial metaverse and what the future holds.
We talk about:

What is digital twin and what type of digital twin are there?

What kind of research is taking place around digital twin?

What is the industrial universe? How is different from other types of metaverses?

How digital twin can be used in the industrial universe.

What companies can gain from moving to the industrial universe.

How does sustainability factor into the industrial universe?

What do the next few years hold for digital twin?


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#IndustrialMetaverse #DigitalTwin #Innovation #WomenInStem</description>
      <pubDate>Fri, 12 May 2023 14:01:00 -0000</pubDate>
      <itunes:title>Experiencing the Digital Twin in the Industrial Universe </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b537b0e4-f0bb-11ed-afa9-1bc120abcd5d/image/5f2242.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle> with Virginie Maillard</itunes:subtitle>
      <itunes:summary>On today’s episode of the Engineer Innovation podcast, we’re joined by Virginie Maillard, Head of Global Research in Simulation and Digital Twin at Siemens. She’s here to talk about the role of the digital twin in the emerging industrial metaverse and what the future holds.
We talk about:

What is digital twin and what type of digital twin are there?

What kind of research is taking place around digital twin?

What is the industrial universe? How is different from other types of metaverses?

How digital twin can be used in the industrial universe.

What companies can gain from moving to the industrial universe.

How does sustainability factor into the industrial universe?

What do the next few years hold for digital twin?


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.
For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast.
#IndustrialMetaverse #DigitalTwin #Innovation #WomenInStem</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode of the Engineer Innovation podcast, we’re joined by <a href="https://www.linkedin.com/in/virginiemaillard/">Virginie Maillard</a>, Head of Global Research in Simulation and Digital Twin at <a href="https://www.linkedin.com/company/siemens/">Siemens</a>. She’s here to talk about the role of the digital twin in the emerging industrial metaverse and what the future holds.</p><p>We talk about:</p><ul>
<li>What is digital twin and what type of digital twin are there?</li>
<li>What kind of research is taking place around digital twin?</li>
<li>What is the industrial universe? How is different from other types of metaverses?</li>
<li>How digital twin can be used in the industrial universe.</li>
<li>What companies can gain from moving to the industrial universe.</li>
<li>How does sustainability factor into the industrial universe?</li>
<li>What do the next few years hold for digital twin?</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.</p><p>For more unique insights on all kinds of cutting-edge topics, tune in to <a href="siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p>#IndustrialMetaverse #DigitalTwin #Innovation #WomenInStem</p>]]>
      </content:encoded>
      <itunes:duration>1692</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b537b0e4-f0bb-11ed-afa9-1bc120abcd5d]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6364446630.mp3?updated=1697624123" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Rethinking Fuel for Industrial Thermal Systems </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/rethinking-fuel-for-industrial-thermal-systems-with-guy-de-carufel-and-eric-duplain-series-2-episode-2/</link>
      <description>On today’s episode of the Engineer Innovation podcast, we’re joined by Guy de Carufel and Eric Duplain. Guy is the Director of Engineering and Operations at BMA and Eric is CFD Project Engineer, also at BMA.
They’re here to discuss the impact of carbon emissions from industrial thermal systems. We talk about:

The complexity and types of industrial thermal systems.

Optimizing their customers’ existing processes and equipment

Is fuel switching becoming a common practice?

Responding to accusations of greenwashing

Biomass, hydrogen and other alternatives to fossil fuels.

Important lessons for people looking to bring sustainability to this industrial sector


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.  
#Energy #RenewableEnergy #SolarEnergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</description>
      <pubDate>Wed, 03 May 2023 03:47:00 -0000</pubDate>
      <itunes:title>Rethinking Fuel for Industrial Thermal Systems </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8b12497a-e94d-11ed-bf58-0b6021ce7d13/image/304457.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Guy de Carufel and Eric Duplain at BMA</itunes:subtitle>
      <itunes:summary>On today’s episode of the Engineer Innovation podcast, we’re joined by Guy de Carufel and Eric Duplain. Guy is the Director of Engineering and Operations at BMA and Eric is CFD Project Engineer, also at BMA.
They’re here to discuss the impact of carbon emissions from industrial thermal systems. We talk about:

The complexity and types of industrial thermal systems.

Optimizing their customers’ existing processes and equipment

Is fuel switching becoming a common practice?

Responding to accusations of greenwashing

Biomass, hydrogen and other alternatives to fossil fuels.

Important lessons for people looking to bring sustainability to this industrial sector


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.  
#Energy #RenewableEnergy #SolarEnergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode of the Engineer Innovation podcast, we’re joined by <a href="https://www.linkedin.com/in/gdecarufel/?originalSubdomain=ca">Guy de Carufel</a> and <a href="https://www.linkedin.com/in/ericduplain/?locale=en_US">Eric Duplain</a>. Guy is the Director of Engineering and Operations at <a href="https://www.linkedin.com/company/bma-inc./">BMA</a> and Eric is CFD Project Engineer, also at BMA.</p><p>They’re here to discuss the impact of carbon emissions from industrial thermal systems. We talk about:</p><ul>
<li>The complexity and types of industrial thermal systems.</li>
<li>Optimizing their customers’ existing processes and equipment</li>
<li>Is fuel switching becoming a common practice?</li>
<li>Responding to accusations of greenwashing</li>
<li>Biomass, hydrogen and other alternatives to fossil fuels.</li>
<li>Important lessons for people looking to bring sustainability to this industrial sector</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.  </p><p>#Energy #RenewableEnergy #SolarEnergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources</p>]]>
      </content:encoded>
      <itunes:duration>2341</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8b12497a-e94d-11ed-bf58-0b6021ce7d13]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7744041521.mp3?updated=1697624190" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Exploring Massive Engineering Data Analytics </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/exploring-massive-engineering-data-analytics-with-ian-mcgann-episode-11/</link>
      <description>On today’s episode, we’re joined by Ian McGann. Ian is the Director of Innovation for TSVT at Siemens Digital Industries Software. We talk about:

What massive engineering data analytics is.

How Ian collects the data he uses and the work involved in processing it.

Spotting outliers in data — does it have to be manual?

How machine learning is taking individual experience and making it more transferable.

The payoff of massive engineering data analytics.

Understanding executable digital twins, and some use cases for them.

How mature is massive engineering data analytics? What steps can companies take to get started?

What are Bayesian networks?

What Siemens is doing to help people on the journey to massive engineering data analytics.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.
#MachineLearning #Robotics #NeuralNetworks #AI #Automation #AutonomousDriving #Autonomous #IntelligentAutomation #Selfdriving</description>
      <pubDate>Fri, 14 Apr 2023 13:05:00 -0000</pubDate>
      <itunes:title>Exploring Massive Engineering Data Analytics</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/100144c0-dac5-11ed-b42d-7b9ffc62ca96/image/dae189.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Ian McGann</itunes:subtitle>
      <itunes:summary>On today’s episode, we’re joined by Ian McGann. Ian is the Director of Innovation for TSVT at Siemens Digital Industries Software. We talk about:

What massive engineering data analytics is.

How Ian collects the data he uses and the work involved in processing it.

Spotting outliers in data — does it have to be manual?

How machine learning is taking individual experience and making it more transferable.

The payoff of massive engineering data analytics.

Understanding executable digital twins, and some use cases for them.

How mature is massive engineering data analytics? What steps can companies take to get started?

What are Bayesian networks?

What Siemens is doing to help people on the journey to massive engineering data analytics.


This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 
For more unique insights on all kinds of cutting-edge topics, tune into siemens.com/simcenter-podcast.
#MachineLearning #Robotics #NeuralNetworks #AI #Automation #AutonomousDriving #Autonomous #IntelligentAutomation #Selfdriving</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today’s episode, we’re joined by <a href="https://www.linkedin.com/in/ian-mcgann-2382554/">Ian McGann</a>. Ian is the Director of Innovation for TSVT at <a href="https://www.linkedin.com/company/siemenssoftware/?trk=public_profile_topcard-current-company">Siemens Digital Industries Software</a>. We talk about:</p><ul>
<li>What massive engineering data analytics is.</li>
<li>How Ian collects the data he uses and the work involved in processing it.</li>
<li>Spotting outliers in data — does it have to be manual?</li>
<li>How machine learning is taking individual experience and making it more transferable.</li>
<li>The payoff of massive engineering data analytics.</li>
<li>Understanding executable digital twins, and some use cases for them.</li>
<li>How mature is massive engineering data analytics? What steps can companies take to get started?</li>
<li>What are Bayesian networks?</li>
<li>What Siemens is doing to help people on the journey to massive engineering data analytics.</li>
</ul><p><br></p><p>This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.</p><p>If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. </p><p>For more unique insights on all kinds of cutting-edge topics, tune into <a href="http://siemens.com/simcenter-podcast">siemens.com/simcenter-podcast</a>.</p><p>#MachineLearning #Robotics #NeuralNetworks #AI #Automation #AutonomousDriving #Autonomous #IntelligentAutomation #Selfdriving</p>]]>
      </content:encoded>
      <itunes:duration>2343</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[100144c0-dac5-11ed-b42d-7b9ffc62ca96]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE9030276622.mp3?updated=1697624238" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Importance of Computer Simulations </title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/solved-with-simcenter/</link>
      <description>Welcome to another episode of Engineer Innovation— a podcast for engineers by engineers. Because we all want to build a better tomorrow, faster. 
Computer simulations have the ability to take unethical studies and test the set of circumstances in a safe way. This means that engineers now have the ability to learn more about dangerous situations without endangering any lives. 
One specific thing that simulations, like the SimCenter Madymo, are able to test is the impact of car and cyclist accidents on the human body and how helmets affect the outcome. Because of discoveries like this, we can now pinpoint what causes certain injuries and what we can do to prevent them. 
Today, I’m joined by Donal McNally, a Nottingham University Professor in the field of bioengineering.  
Join us as we discuss how he was able to reconstruct the car accident he had as a cyclist to understand what happened to him and how he’s using that information to better help society.
In this episode, you will learn:

What Donal remembers from the accident (01:42)

How Donal solved the mystery of what happened to him (02:48)

Computer simulations are able to safely test the efficacy of helmets (04:30)

What the SimCenter Madymo is used for (06:56)

How safe flooring can help with fall prevention (13:17)</description>
      <pubDate>Tue, 04 Apr 2023 09:00:00 -0000</pubDate>
      <itunes:title>The Importance of Computer Simulations </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:subtitle>with Donal McNally </itunes:subtitle>
      <itunes:summary>Welcome to another episode of Engineer Innovation— a podcast for engineers by engineers. Because we all want to build a better tomorrow, faster. 
Computer simulations have the ability to take unethical studies and test the set of circumstances in a safe way. This means that engineers now have the ability to learn more about dangerous situations without endangering any lives. 
One specific thing that simulations, like the SimCenter Madymo, are able to test is the impact of car and cyclist accidents on the human body and how helmets affect the outcome. Because of discoveries like this, we can now pinpoint what causes certain injuries and what we can do to prevent them. 
Today, I’m joined by Donal McNally, a Nottingham University Professor in the field of bioengineering.  
Join us as we discuss how he was able to reconstruct the car accident he had as a cyclist to understand what happened to him and how he’s using that information to better help society.
In this episode, you will learn:

What Donal remembers from the accident (01:42)

How Donal solved the mystery of what happened to him (02:48)

Computer simulations are able to safely test the efficacy of helmets (04:30)

What the SimCenter Madymo is used for (06:56)

How safe flooring can help with fall prevention (13:17)</itunes:summary>
      <content:encoded>
        <![CDATA[<p class="ql-align-justify">Welcome to another episode of <em>Engineer Innovation</em>— a podcast for engineers by engineers. Because we all want to build a better tomorrow, faster. </p><p class="ql-align-justify">Computer simulations have the ability to take unethical studies and test the set of circumstances in a safe way. This means that engineers now have the ability to learn more about dangerous situations without endangering any lives. </p><p class="ql-align-justify">One specific thing that simulations, like the SimCenter Madymo, are able to test is the impact of car and cyclist accidents on the human body and how helmets affect the outcome. Because of discoveries like this, we can now pinpoint what causes certain injuries and what we can do to prevent them. </p><p>Today, I’m joined by Donal McNally, a Nottingham University Professor in the field of bioengineering.  </p><p>Join us as we discuss how he was able to reconstruct the car accident he had as a cyclist to understand what happened to him and how he’s using that information to better help society.</p><p><strong>In this episode, you will learn:</strong></p><ul>
<li>What Donal remembers from the accident (01:42)</li>
<li>How Donal solved the mystery of what happened to him (02:48)</li>
<li>Computer simulations are able to safely test the efficacy of helmets (04:30)</li>
<li>What the SimCenter Madymo is used for (06:56)</li>
<li>How safe flooring can help with fall prevention (13:17)</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>1058</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a0d17838-d1ee-11ed-990b-8744d5345712]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3102822877.mp3?updated=1697625150" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>In silico: Medical device innovation through simulation</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/voxdale-episode-9/</link>
      <description>A big reason most devices never get to market is the cost of developing and testing viable prototypes. Most companies will run out of capital before their product is fully certified.
Lowering the cost of development opens up the door for great innovations by bold startups to reach the market faster. If these innovations are, for instance, in the medical device space, their arrival to the market will improve the quality of life for many people.
One of the ways to lower the cost of product development is by digitalizing the development process. This involves building and testing a virtual prototype by simulating real-life occurrences before building the cost-intensive physical prototype.
Today, we're joined by Tim Dieryckx,  CEO of Voxdale – a company that helps entrepreneurs and professionals accelerate the development of great hardware &amp; IoT devices.
Join us as we discuss the importance of engineering simulation in medical device development.
In this episode, you will learn:

How Voxdale helps startups (02:07)

The role that simulation plays in designing medical devices (03:29)

What “in silico” means in the context of medical device development (06:13)

The benefits of simulating with “in silico” (08:18)

How simulation helps lower the cost of a medical device (15:58)</description>
      <pubDate>Fri, 02 Dec 2022 10:00:00 -0000</pubDate>
      <itunes:title>In silico: Medical device innovation through simulation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>9</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dca0d8cc-98e6-11ed-9dab-4f082c4ddd71/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Tim Dieryckx</itunes:subtitle>
      <itunes:summary>A big reason most devices never get to market is the cost of developing and testing viable prototypes. Most companies will run out of capital before their product is fully certified.
Lowering the cost of development opens up the door for great innovations by bold startups to reach the market faster. If these innovations are, for instance, in the medical device space, their arrival to the market will improve the quality of life for many people.
One of the ways to lower the cost of product development is by digitalizing the development process. This involves building and testing a virtual prototype by simulating real-life occurrences before building the cost-intensive physical prototype.
Today, we're joined by Tim Dieryckx,  CEO of Voxdale – a company that helps entrepreneurs and professionals accelerate the development of great hardware &amp; IoT devices.
Join us as we discuss the importance of engineering simulation in medical device development.
In this episode, you will learn:

How Voxdale helps startups (02:07)

The role that simulation plays in designing medical devices (03:29)

What “in silico” means in the context of medical device development (06:13)

The benefits of simulating with “in silico” (08:18)

How simulation helps lower the cost of a medical device (15:58)</itunes:summary>
      <content:encoded>
        <![CDATA[<p>A big reason most devices never get to market is the cost of developing and testing viable prototypes. Most companies will run out of capital before their product is fully certified.</p><p>Lowering the cost of development opens up the door for great innovations by bold startups to reach the market faster. If these innovations are, for instance, in the medical device space, their arrival to the market will improve the quality of life for many people.</p><p>One of the ways to lower the cost of product development is by digitalizing the development process. This involves building and testing a virtual prototype by simulating real-life occurrences before building the cost-intensive physical prototype.</p><p>Today, we're joined by Tim Dieryckx,  CEO of Voxdale – a company that helps entrepreneurs and professionals accelerate the development of great hardware &amp; IoT devices.</p><p>Join us as we discuss the importance of engineering simulation in medical device development.</p><p><strong>In this episode, you will learn:</strong></p><ul>
<li>How Voxdale helps startups (02:07)</li>
<li>The role that simulation plays in designing medical devices (03:29)</li>
<li>What “in silico” means in the context of medical device development (06:13)</li>
<li>The benefits of simulating with “in silico” (08:18)</li>
<li>How simulation helps lower the cost of a medical device (15:58)</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>1326</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6389be9b4a3d3200114d563b]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1767495988.mp3?updated=1697625109" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Drones and Sustainability</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/are-drones-helping-to-deliver-lower-carbon-emissions-episode-8/</link>
      <description>Most new technology products have a sustainability aspect attached to them. This is happening because we have very strict environmental regulations in many countries. Engineers now have to show regulators the environmental impact their products will have before they can get certified.
This push for sustainability has also led to more investments in products such as drones and electric cars that reduce emissions. For instance, drones’ small carbon footprint makes them the perfect replacement for fossil fuel-reliant trucks in delivering packages. However, there is a need for a clear regulatory framework to manage their operations in populated areas.
Today, I’m joined by David Almer, Portfolio Development Executive at Siemens Digital Industries Software.
Join us as we discuss what the future of drones will look like and their role in promoting sustainability.
In this episode, you will learn:

Why sustainability is important (02:02)

What sparked his interest in drones (04:39)

The barriers blocking the use of drones in package delivery (07:41)

Consideration made when developing drones (10:42)

How drones assist in inspecting wind turbines (13:17)</description>
      <pubDate>Tue, 04 Oct 2022 08:00:00 -0000</pubDate>
      <itunes:title>Drones and Sustainability</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dcbf4fd2-98e6-11ed-9dab-db967ba0acbd/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with David Almer</itunes:subtitle>
      <itunes:summary>Most new technology products have a sustainability aspect attached to them. This is happening because we have very strict environmental regulations in many countries. Engineers now have to show regulators the environmental impact their products will have before they can get certified.
This push for sustainability has also led to more investments in products such as drones and electric cars that reduce emissions. For instance, drones’ small carbon footprint makes them the perfect replacement for fossil fuel-reliant trucks in delivering packages. However, there is a need for a clear regulatory framework to manage their operations in populated areas.
Today, I’m joined by David Almer, Portfolio Development Executive at Siemens Digital Industries Software.
Join us as we discuss what the future of drones will look like and their role in promoting sustainability.
In this episode, you will learn:

Why sustainability is important (02:02)

What sparked his interest in drones (04:39)

The barriers blocking the use of drones in package delivery (07:41)

Consideration made when developing drones (10:42)

How drones assist in inspecting wind turbines (13:17)</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Most new technology products have a sustainability aspect attached to them. This is happening because we have very strict environmental regulations in many countries. Engineers now have to show regulators the environmental impact their products will have before they can get certified.</p><p>This push for sustainability has also led to more investments in products such as drones and electric cars that reduce emissions. For instance, drones’ small carbon footprint makes them the perfect replacement for fossil fuel-reliant trucks in delivering packages. However, there is a need for a clear regulatory framework to manage their operations in populated areas.</p><p>Today, I’m joined by David Almer, Portfolio Development Executive at Siemens Digital Industries Software.</p><p>Join us as we discuss what the future of drones will look like and their role in promoting sustainability.</p><p><strong>In this episode, you will learn:</strong></p><ul>
<li>Why sustainability is important (02:02)</li>
<li>What sparked his interest in drones (04:39)</li>
<li>The barriers blocking the use of drones in package delivery (07:41)</li>
<li>Consideration made when developing drones (10:42)</li>
<li>How drones assist in inspecting wind turbines (13:17)</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>993</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[633ab203793a540012f727cf]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE8913186737.mp3?updated=1697625044" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Digitalization and the future of vehicle performance engineering</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/digitalization-and-the-future-of-vehicle-performance-engineering/</link>
      <description>What is the future of the digital twin in automotive design?

How do you accelerate product design and get it right first time?

Will it replace physical testing entirely?

 
Listen to this podcast to find out the answer to these questions and more. Essential listening for anyone involved in digitalization and vehicle performance engineering.</description>
      <pubDate>Thu, 11 Aug 2022 13:48:00 -0000</pubDate>
      <itunes:title>Digitalization and the future of vehicle performance engineering</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dcdc8d86-98e6-11ed-9dab-bfc5cdd402a1/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle> with Steven Dom and Tom Van Houcke</itunes:subtitle>
      <itunes:summary>What is the future of the digital twin in automotive design?

How do you accelerate product design and get it right first time?

Will it replace physical testing entirely?

 
Listen to this podcast to find out the answer to these questions and more. Essential listening for anyone involved in digitalization and vehicle performance engineering.</itunes:summary>
      <content:encoded>
        <![CDATA[<ul>
<li>What is the future of the digital twin in automotive design?</li>
<li>How do you accelerate product design and get it right first time?</li>
<li>Will it replace physical testing entirely?</li>
</ul><p> </p><p>Listen to this podcast to find out the answer to these questions and more. Essential listening for anyone involved in digitalization and vehicle performance engineering.</p>]]>
      </content:encoded>
      <itunes:duration>2368</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[62f4c6bb36d26f00137b83a8]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE3636225339.mp3?updated=1697624963" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Use of Machine Learning in Simulation</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/machine-learning-and-artificial-intelligence/</link>
      <description>Welcome to another episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.
Simulation allows engineers to understand how their designs will perform under different circumstances. It is an essential part of any development process as it gives confidence to designs before the actual manufacturing can start.
Without simulation, it would be difficult to determine which combination of components and component design can give the best performance. The high number of different combinations that can be used for complex designs presents a big problem for engineers.
Machine learning is used to narrow down workable combinations, thereby, freeing up the engineers to test and improve what can work. It does this by analyzing existing data to create models that closely reflect what different combinations would result in.
Join us as we discuss how machine learning is used to accelerate the simulation process.
In this episode, you will learn:

The use of ML in simulation (00:53)

The benefits of using reduced order models (04:53)

An example where ML models have been successfully applied in simulation (10:06)

The best place to start if you wish to start using AI in simulation (12:01)</description>
      <pubDate>Mon, 08 Aug 2022 09:00:00 -0000</pubDate>
      <itunes:title>The Use of Machine Learning in Simulation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dcf7b9a8-98e6-11ed-9dab-d7119744a36d/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Chad Jackson and Justin Hodges</itunes:subtitle>
      <itunes:summary>Welcome to another episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.
Simulation allows engineers to understand how their designs will perform under different circumstances. It is an essential part of any development process as it gives confidence to designs before the actual manufacturing can start.
Without simulation, it would be difficult to determine which combination of components and component design can give the best performance. The high number of different combinations that can be used for complex designs presents a big problem for engineers.
Machine learning is used to narrow down workable combinations, thereby, freeing up the engineers to test and improve what can work. It does this by analyzing existing data to create models that closely reflect what different combinations would result in.
Join us as we discuss how machine learning is used to accelerate the simulation process.
In this episode, you will learn:

The use of ML in simulation (00:53)

The benefits of using reduced order models (04:53)

An example where ML models have been successfully applied in simulation (10:06)

The best place to start if you wish to start using AI in simulation (12:01)</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to another episode of <em>Engineer Innovation</em>— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.</p><p>Simulation allows engineers to understand how their designs will perform under different circumstances. It is an essential part of any development process as it gives confidence to designs before the actual manufacturing can start.</p><p>Without simulation, it would be difficult to determine which combination of components and component design can give the best performance. The high number of different combinations that can be used for complex designs presents a big problem for engineers.</p><p>Machine learning is used to narrow down workable combinations, thereby, freeing up the engineers to test and improve what can work. It does this by analyzing existing data to create models that closely reflect what different combinations would result in.</p><p>Join us as we discuss how machine learning is used to accelerate the simulation process.</p><p><strong>In this episode, you will learn:</strong></p><ul>
<li>The use of ML in simulation (00:53)</li>
<li>The benefits of using reduced order models (04:53)</li>
<li>An example where ML models have been successfully applied in simulation (10:06)</li>
<li>The best place to start if you wish to start using AI in simulation (12:01)</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>1007</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[62f0c28bf96a680012ef4842]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE7129881836.mp3?updated=1697624875" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Noise Testing Electric Vehicles</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/testing-the-performance-of-electric-vehicles/</link>
      <description>Welcome to another episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster. 
One of the main differences between combustion engine vehicles and electric vehicles is the level of noise generated. Combustion engines are loud while the latter is very quiet.
While the lack of noise can be interpreted as a benefit, it also presents a few problems. First, it makes the vehicle unsafe to other road users who rely on vehicle sounds to understand the speed and direction of movement. It also unmasks other noises such as the aircon and motor thumping noises that are masked by engine noise in combustion vehicles.
This is why noise testing is an important concept in electric vehicles. It allows OEMs to understand how they can reduce unnecessary noise and introduce active noise for safety and comfort purposes.
Join us as we discuss the importance of noise testing in electric vehicle development.
In this episode, you will learn:

Katleen’s view on electric cars (04:00)

What testing electric vehicles entails (05:48)

Differences between combustion engine vehicles and electric vehicles (08:10)

The most common misunderstanding about vehicle testing (11:05)

The importance of active sound in electric vehicles (14:45)</description>
      <pubDate>Mon, 25 Jul 2022 09:00:00 -0000</pubDate>
      <itunes:title>Noise Testing Electric Vehicles</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd163342-98e6-11ed-9dab-8b915728c602/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Katleen Michiels</itunes:subtitle>
      <itunes:summary>Welcome to another episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster. 
One of the main differences between combustion engine vehicles and electric vehicles is the level of noise generated. Combustion engines are loud while the latter is very quiet.
While the lack of noise can be interpreted as a benefit, it also presents a few problems. First, it makes the vehicle unsafe to other road users who rely on vehicle sounds to understand the speed and direction of movement. It also unmasks other noises such as the aircon and motor thumping noises that are masked by engine noise in combustion vehicles.
This is why noise testing is an important concept in electric vehicles. It allows OEMs to understand how they can reduce unnecessary noise and introduce active noise for safety and comfort purposes.
Join us as we discuss the importance of noise testing in electric vehicle development.
In this episode, you will learn:

Katleen’s view on electric cars (04:00)

What testing electric vehicles entails (05:48)

Differences between combustion engine vehicles and electric vehicles (08:10)

The most common misunderstanding about vehicle testing (11:05)

The importance of active sound in electric vehicles (14:45)</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to another episode of <em>Engineer Innovation</em>— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster. </p><p>One of the main differences between combustion engine vehicles and electric vehicles is the level of noise generated. Combustion engines are loud while the latter is very quiet.</p><p>While the lack of noise can be interpreted as a benefit, it also presents a few problems. First, it makes the vehicle unsafe to other road users who rely on vehicle sounds to understand the speed and direction of movement. It also unmasks other noises such as the aircon and motor thumping noises that are masked by engine noise in combustion vehicles.</p><p>This is why noise testing is an important concept in electric vehicles. It allows OEMs to understand how they can reduce unnecessary noise and introduce active noise for safety and comfort purposes.</p><p>Join us as we discuss the importance of noise testing in electric vehicle development.</p><p><strong>In this episode, you will learn:</strong></p><ul>
<li>Katleen’s view on electric cars (04:00)</li>
<li>What testing electric vehicles entails (05:48)</li>
<li>Differences between combustion engine vehicles and electric vehicles (08:10)</li>
<li>The most common misunderstanding about vehicle testing (11:05)</li>
<li>The importance of active sound in electric vehicles (14:45)</li>
</ul>]]>
      </content:encoded>
      <itunes:duration>1289</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[62da5b0fbfe3dd0012c97283]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE1828401742.mp3?updated=1697624743" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Birth of Simcenter</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/podcast-the-birth-of-simcenter-episode-4/</link>
      <description>In this edition of the Engineering Innovation podcast, we step back five years to the birth of Simcenter and explore all of the reasons why the last five years have been some of the most tumultuous in the history of our species. Let's join Jean-Claude Ercolanelli and Stephen Ferguson as they talk about why 5 is a magic number.</description>
      <pubDate>Wed, 01 Dec 2021 10:45:00 -0000</pubDate>
      <itunes:title>The Birth of Simcenter</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd316d6a-98e6-11ed-9dab-87d3b4044e75/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>with Jean-Claude Ercolanelli</itunes:subtitle>
      <itunes:summary>In this edition of the Engineering Innovation podcast, we step back five years to the birth of Simcenter and explore all of the reasons why the last five years have been some of the most tumultuous in the history of our species. Let's join Jean-Claude Ercolanelli and Stephen Ferguson as they talk about why 5 is a magic number.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this edition of the Engineering Innovation podcast, we step back five years to the birth of Simcenter and explore all of the reasons why the last five years have been some of the most tumultuous in the history of our species. Let's join Jean-Claude Ercolanelli and Stephen Ferguson as they talk about why 5 is a magic number.</p><p><br></p>]]>
      </content:encoded>
      <itunes:duration>2134</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[61a75364d4226100123b58ad]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE6925878317.mp3?updated=1697624669" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Engineer of the future</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/engineer-of-the-future-episode-3/</link>
      <description>Engineers of the future entering the work environment will be entering one very different from what current engineers experience today. Let’s join Remi Duquette and Stephen Ferguson to explore how artificial intelligence will shape the engineer of the future. One thing is for sure - change is coming and with it the promise of an even brighter tomorrow.</description>
      <pubDate>Tue, 14 Sep 2021 15:51:00 -0000</pubDate>
      <itunes:title>Engineer of the future</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd4cbcdc-98e6-11ed-9dab-eb7d98e0c169/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How artificial intelligence will shape the engineer of the future</itunes:subtitle>
      <itunes:summary>Engineers of the future entering the work environment will be entering one very different from what current engineers experience today. Let’s join Remi Duquette and Stephen Ferguson to explore how artificial intelligence will shape the engineer of the future. One thing is for sure - change is coming and with it the promise of an even brighter tomorrow.</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Engineers of the future entering the work environment will be entering one very different from what current engineers experience today. Let’s join Remi Duquette and Stephen Ferguson to explore how artificial intelligence will shape the engineer of the future. One thing is for sure - change is coming and with it the promise of an even brighter tomorrow.</p>]]>
      </content:encoded>
      <itunes:duration>1520</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6140c4e8d1b8c30013f7d25c]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE8957151659.mp3?updated=1697624589" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>What are digital twins made of?</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/podcast-what-are-digital-twins-made-of-episode-2/</link>
      <description>Welcome to the second episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.  
For a long time, engineers have just picked materials off a catalog without asking any ‘what if’ questions regarding them. This episode will dig into why past views of materials have limited innovation and what is being done to unlock performance by changing those views. 

We’ll discuss the crucial role of materials in product and system optimization, as well as the changes that we can expect to see in the future. 
 
Stephen Ferguson, Director of Marketing Content for Siemens Digital Industries Software is joined by Raphael Stargrove - the Vice President of Product Strategy at Citrine Informatics. Join them as they discuss the developments that are happening in material science and the accomplishments that have been made in the recent past. </description>
      <pubDate>Wed, 18 Aug 2021 15:32:00 -0000</pubDate>
      <itunes:title>What are digital twins made of?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd66d9b4-98e6-11ed-9dab-df3bef7a91c5/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>Understanding the difficulties and opportunities in materials selection</itunes:subtitle>
      <itunes:summary>Welcome to the second episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.  
For a long time, engineers have just picked materials off a catalog without asking any ‘what if’ questions regarding them. This episode will dig into why past views of materials have limited innovation and what is being done to unlock performance by changing those views. 

We’ll discuss the crucial role of materials in product and system optimization, as well as the changes that we can expect to see in the future. 
 
Stephen Ferguson, Director of Marketing Content for Siemens Digital Industries Software is joined by Raphael Stargrove - the Vice President of Product Strategy at Citrine Informatics. Join them as they discuss the developments that are happening in material science and the accomplishments that have been made in the recent past. </itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome to the second episode of <em>Engineer Innovation</em>— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.  </p><p>For a long time, engineers have just picked materials off a catalog without asking any ‘what if’ questions regarding them. This episode will dig into why past views of materials have limited innovation and what is being done to unlock performance by changing those views. </p><p><br></p><p>We’ll discuss the crucial role of materials in product and system optimization, as well as the changes that we can expect to see in the future. </p><p> </p><p>Stephen Ferguson, Director of Marketing Content for Siemens Digital Industries Software is joined by Raphael Stargrove - the Vice President of Product Strategy at Citrine Informatics. Join them as they discuss the developments that are happening in material science and the accomplishments that have been made in the recent past. </p>]]>
      </content:encoded>
      <itunes:duration>1672</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[611d282295a4b1001a9531c4]]></guid>
      <enclosure url="https://cohst.app/pdcst/8I1C2J/traffic.megaphone.fm/TLFIE4957321975.mp3?updated=1697624531" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Ride the digital wave with CFD simulation</title>
      <link>https://blogs.sw.siemens.com/podcasts/engineer-innovation/riding-the-digital-wave-with-cfd-simulation/</link>
      <description>People have been riding waves for more than 5000 years, which makes surfing one of the world’s oldest sports. The surfboard industry is worth $3 billion, and surfing will debut as an Olympic sport in Tokyo this summer. But it’s more than just a sport.  
In ancient Hawaiian culture, the art of he’e nalu (or “wave sliding”) is endowed with almost religious significance, where frustrated surfers would call upon the kahuna (priest) to aid them with a surfing prayer which asked the Gods to deliver great surf. 
At the heart of the culture is the almost spiritual act of “surfboard shaping” in which a skilled craftsman manually shaves a piece of wood (or more recently polyurethane) into a hydrodynamic planing surface, carefully adjusting its shape for specific wave conditions and surfer preferences.  
Using this process, guided by surfer feedback, surfboard design has evolved over hundreds of years. In this podcast, we ask the question, “could a digital twin help to design better, more responsive surfboards?” And discuss how you can test a digital surfboard using a digital wave.</description>
      <pubDate>Wed, 26 May 2021 16:18:00 -0000</pubDate>
      <itunes:title>Ride the digital wave with CFD simulation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Siemens Digital Industries Software</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/dd811c20-98e6-11ed-9dab-f7b764792a91/image/cove.jpeg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle>How to test a digital surfboard using a digital wave </itunes:subtitle>
      <itunes:summary>People have been riding waves for more than 5000 years, which makes surfing one of the world’s oldest sports. The surfboard industry is worth $3 billion, and surfing will debut as an Olympic sport in Tokyo this summer. But it’s more than just a sport.  
In ancient Hawaiian culture, the art of he’e nalu (or “wave sliding”) is endowed with almost religious significance, where frustrated surfers would call upon the kahuna (priest) to aid them with a surfing prayer which asked the Gods to deliver great surf. 
At the heart of the culture is the almost spiritual act of “surfboard shaping” in which a skilled craftsman manually shaves a piece of wood (or more recently polyurethane) into a hydrodynamic planing surface, carefully adjusting its shape for specific wave conditions and surfer preferences.  
Using this process, guided by surfer feedback, surfboard design has evolved over hundreds of years. In this podcast, we ask the question, “could a digital twin help to design better, more responsive surfboards?” And discuss how you can test a digital surfboard using a digital wave.</itunes:summary>
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      <itunes:duration>1722</itunes:duration>
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