エピソード

  • Trisolaris: From CERN to 3 body problem with Matt Kenzie

    Trisolaris: From CERN to 3 body problem with Matt Kenzie
    2024/09/18
    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
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    1 時間 7 分
  • Digital Threads in Semiconductor Engineering

    Digital Threads in Semiconductor Engineering
    2024/09/04
    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.
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    48 分
  • Apollo 13: The Birth of the Digital Twin

    Apollo 13: The Birth of the Digital Twin
    2024/08/21
    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.
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    22 分
  • The shockingly vast and complex world of electric arc dynamics with Dr. Roman Fuchs of OST

    The shockingly vast and complex world of electric arc dynamics with Dr. Roman Fuchs of OST
    2024/07/25
    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
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    32 分
  • From concept to reality: AI and the digital twin at Realize LIVE

    From concept to reality: AI and the digital twin at Realize LIVE
    2024/07/10
    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
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    35 分
  • Sky's not the limit: AI and data management redefining space exploration

    Sky's not the limit: AI and data management redefining space exploration
    2024/06/19
    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
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    40 分
  • Advancing corrosion analysis in aerospace with Alan Rose of Corrdesa LLC

    Advancing corrosion analysis in aerospace with Alan Rose of Corrdesa LLC
    2024/06/12
    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
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    36 分
  • 100,000 Simulations a Day! AI Powered Simulation with PhysicsX

    100,000 Simulations a Day! AI Powered Simulation with PhysicsX
    2024/05/29
    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.
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    47 分