Engineer Innovation: Conversations about Industry 4.0, Engineering AI/ML, Digital Twin, & Computer Aided Engineering‪.‬ Siemens Digital Industries Software

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