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.

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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:

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

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.

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Episode Highlights:



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.

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:

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.

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

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:

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

In this episode, join us as we explore the intersection of artificial intelligence, engineering and innovation with Théophile Allard, CTO and Co-Founder of Neural Concept. Neural Concept is a pioneer in AI-driven product development, focusing on accelerating digital processes and making them more accessible. Theo discusses data import, cleaning, structuration and real-time CFD predictions integrated into design tools. This episode provides insights into how AI is transforming industries and the future of engineering.

Key Takeaways:

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.

#NeuralNetworks #AI #Automation #IntelligentAutomation

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

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

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

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.