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

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

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 & 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.

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.

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: 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

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

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.

In this episode, we’re joined by André Gasko, Simulation Engineer at B&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&W Engineering - https://www.linkedin.com/company/b-&-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

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 

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

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

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

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

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.

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

In this episode, we discuss advanced cycling technology with Frederic Poppenhäger, Founder and Partner at Radiate Engineering & 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 & 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

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

Trailer for the Engineer Innovation Podcast