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

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

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

  • Engineering Simulation: What’s Hot in 2024?

    In this special New Year edition of the Engineering Innovation podcast, Stephen and Chad review the top trends that dominated the world of engineering simulation and test during 2023, and predict how those trends will play out in 2024. We also introduce our new AI Podcaster ChadGPT. 

     Key Takeaways 

    • What were the top trends of 2023? 
    • Will AI replace engineers? 
    • Will AI replace engineering podcasters? Meet ChadGPT! 
    • Can you lobotomize Machine Learning algorithms 
    • Stepping inside the Metaverse 
    • Exploring the Digital Twin 
    • What is the opposite of engineering? 
    • Which are the best episodes of the Engineer Innovation podcast 


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

      If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 

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

      49 min
    • Advancing Electric Motor Design and Simulation with Adrian Perregaux of Siemens

      In this episode, we’re joined by Adrian Perregaux, Product Manager of Electromagnetics at Siemens Digital Industries Software, His team focuses on low-frequency electromagnetic solutions within the Simcenter portfolio. Adrian shares his insights into the evolving world of electric motor design and the role of simulation software in enhancing this process.

      Key Takeaways

      • (02:33) What Adrian finds appealing in electric motor problem-solving. 


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


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


      • (14:36) Early software development technology limitations. 


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


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



      Resources Mentioned:

      Simcenter e-machine design - https://plm.sw.siemens.com/en-US/simcenter/simulation-test/e-machine-design/

      Simcenter SPEED software  - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/speed/

      Simcenter MotorSolve - https://plm.sw.siemens.com/en-US/simcenter/electromagnetics-simulation/motorsolve/

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

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

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

      #Simcenter #SimulationDriven-Design ##ElectricMotors #ComptuerAidedEngineering #CAE #DigitalTwin #ElectroMechanical #Engineer #Innovation

      29 min
    • The Evolution of The Digital Twin in Industry with Tom Phillips

      On today’s episode, we’re joined by Tom Phillips, Director, Simulation Portfolio Development of Siemens Digital Industries Software, who sheds light on the advanced applications and benefits of digital twins in the industrial world. His insights are focused on the practical aspects and the future of digital twin technology in enhancing industrial operations.

      Key Takeaways:

      • (03:40) How digital twins enhance product and process understanding.
      • (05:14) The significance of digital twins in predictive maintenance and condition monitoring.
      • (08:50) The role of digital twins in improving manufacturing and operational efficiency.
      • (14:32) The role of simulation and analytics in refining the capabilities of digital twins.
      • (19:46) Advice for beginners on starting with digital twins in operations, focusing on design phase and predictive modelling.
      • (21:14) Evolving from basic digital twin creation to automating models for enhanced usability across applications.
      • (22:35) The concept of reduced order models and executable digital twins for real-time applications in monitoring and maintenance.


        • Tom Phillips - https://www.linkedin.com/in/tomjphillips/

        Siemens Digital Industries Software -https://www.linkedin.com/company/siemenssoftware/

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

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

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

        #AI #Automation #IntelligentAutomation #Simcenter #SimulationDriven-Design #MachineLearning #Autonomous  #IntelligentAutomation #digitaltwin

        25 min
      • ChatGPT in the loop: Bridging humans to system simulations with Sarah Barendswaard and Yerlan Akhmetov

        On this episode, Sarah Barendswaard and Yerlan Akhmetov, both engineers at Siemens Digital Industries Software, part of the System Performances Center of Excellence, share how they harness AI and simulation tools like ChatGPT, Simcenter Prescan, and Simcenter Amesim to optimize testing and development of autonomous vehicle systems. 

        The project they worked on involved using ChatGPT to analyze the subjective evaluation of a test driver in a physical simulator and make real-time adjustments to the vehicle dynamics parameters based on their feedback. They highlight the potential of AI in streamlining the testing process, increasing productivity, and reducing resource costs. They also discuss the importance of trust and verification when using AI tools and the potential impact of AI on imagination and creativity. Overall, they find that AI can be a valuable tool in their work, but it is crucial to understand its limitations and ensure human supervision and verification. 

        Key Takeaways: 

        • AI Integration in Engineering: Integrating ChatGPT and Siemens tools for real-time optimization of vehicle dynamics parameters
        • Real-time Testing Efficiency: Demonstrating AI's efficacy in swiftly adjusting vehicle parameters based on immediate driver feedback during real-time testing. 
        • Trust and Reliability in AI: Acknowledging AI's reliability while emphasizing the importance of understanding its limitations and maintaining human oversight, especially in critical scenarios. 
        • Imagination and AI Impact: Philosophically exploring AI's impact on human imagination, with differing views on whether it hinders or inspires creativity. 
        • Future AI Applications at Siemens: Envisioning broader applications for AI, focusing on leveraging ChatGPT and Siemens tools to streamline development processes and enhance efficiency. 


          • Resources mentioned:

          • System Performance Center of Excellence
          • Simcenter Amesim | Siemens Software
          • Simcenter Prescan Software simulation platform | Siemens Software
          • ChatGPT (openai.com)
          • Hackathon project by Yerlan and Sarah


            • If you enjoyed this episode, please leave a review. It would help get the word out about the show.

            Find the show on your favorite podcatcher: Engineer Innovation podcast.

            36 min
          • How ChatGPT Is Redefining the Future of Engineering Simulation

            On today’s episode, we’re joined by Kai Liu, Senior Key Expert of Simulation and Modeling at Siemens. He shares insights into the integration and impact of ChatGPT within Siemens and Simcenter tools, discussing the future of engineering with the advent of advanced AI technologies.

            Key Takeaways:

            • (02:28) Discussing ChatGPT’s assistance in programming and writing.
            • (03:22) Integration of ChatGPT in Siemens and Simcenter.
            • (04:19) How ChatGPT is changing engineering tool interfaces.
            • (08:43) Integration of ChatGPT in the ‘Hi Simcenter’ project.
            • (16:09) Strategies to reduce randomness in large language model responses.
            • (17:31) Addressing AI drift and confidentiality concerns in professional LLM use.
            • (20:24) The rapid evolution of ChatGPT and challenges in its professional integration.
            • (22:34) Future predictions for domain-specific LLMs.
            • (24:21) A discussion of AI’s impact on engineering jobs.
            • (25:20) AI’s role in enhancing engineering productivity.
            • (27:16) Speculation on how engineers might use LLMs in the future.


              • Resources Mentioned:

              Kai Liu - https://www.linkedin.com/in/kai-liu-4795b410a/?originalSubdomain=de

              Hi Simcenter - https://blogs.sw.siemens.com/art-of-the-possible/2023/07/19/the-potential-impact-of-llms-on-cae/

              ChatGPT by OpenAI - https://chat.openai.com/

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

              If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.

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

              #ChatGPT #OpenAI #MachineLearning #AI #Automation #IntelligentAutomation #Productivity #Autonomous

              28 min
            • Taking Agriculture Underground with Jamil Madanat

              On today’s episode, we’re joined by Jamil Madanat, Chief Technology Officer of GreenForges, for a fascinating discussion about the innovative approach of GreenForges in agriculture and the potential of underground farming.

              Key Takeaways:

              • Repurposing LED heat waste for buildings. (07:40)
              • A controlled environment offers predictable crop growth amidst climate crisis. (07:53)
              • Underground farming: protection from pests, weather and contamination. (08:19)
              • The four phases of plant growth in GreenForges’ system. (14:19)
              • Proper monitoring of plant conditions and ensuring optimal growth. (15:37)
              • The role sensors and cameras play in monitoring plant health. (16:10)
              • The potential for flavour engineering in controlled environment agriculture. (16:58)
              • The effect consistency in plant shape, size and flavour has on market appeal. (18:02)
              • The significant design changes influenced by simulation results. (22:39)
              • The initial focus of leafy greens and the potential expansion to berries, mushrooms and algae. (25:35)


                • Jamil Madanat - https://www.linkedin.com/in/jamilmadanat/

                GreenForges - https://www.linkedin.com/company/greenforges/

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

                If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.

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

                #Agriculture #Innovation #SustainableFarming #Technology #GreenForges #UnderGroundFarming #Sustainability #Engineering #AgTech #Food #Simcenter

                32 min
              • Digital Transformation in the Built Environment with Salla Eckhardt

                On today’s episode, we’re joined by Salla Eckhardt, Vice President of Innovation at OAC Services, Inc., which provides innovative building and process solutions to its clients. Salla discusses digital transformation in her industry and her experiences.

                We talk about:

                • Salla’s passion for the built environment.
                • Some of the biggest current challenges with the built environment.
                • Real estate versus the construction industry.
                • Why is digital transformation necessary in the built environment industry?
                • Using simulations to identify and fix issues with the built environment.
                • Using AI in the built environment.
                • Using data to build more durable and resilient structures.

                  • Salla Eckhardt - https://www.linkedin.com/in/sallaeckhardt/

                  OAC Services, Inc. - https://www.linkedin.com/company/oac-services-inc/

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

                  If you enjoyed this episode, please leave a 5-star review to help get the word out about the show.

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

                  #Productivity #Sustainability #AECO #BuiltEnvironment #Energy #Simcenter

                  39 min
                • Breathing Life Into the Digital Twin with Daniel Reed at MxD

                  In this episode we explore one of the best examples of a living (and literally) breathing digital twin, a “lung in the loop” model that allows a single ventilator to be used to assist the breathing of multiple patients. 

                  We’re joined by Daniel Reed, Senior R&D Project Manager at MxD, a public-private partnership that matches federal investment with private investment to advance digital manufacturing technology for the US manufacturing industry.

                  We talk about:

                  • Working in MxD’s “future factory” in Chicago.
                  • Using sensors and networks to create smarter factories.
                  • The role of digital twins in the factory of the future.
                  • The “lung in the loop” model — using digital twins to deal with ventilator shortages during Covid.
                  • How digital twins process data.
                  • The potential of having digital twins in hospitals around the world.
                  • Why isn’t there more data sharing in manufacturing right now?
                  • What’s next with the lung in the loop model?
                  • The exciting future of digital twins.


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

                    If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 

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

                    34 min
                  • Boosting Norwegian Hydropower using Executable Digital Twin

                    In the battle to decarbonize our electricity supply hydropower is a key weapon (in those places where geography permits). It can be either a source of green energy (as rain fills up mountain reservoirs) or, in the case of pumped hydro, a partially “self-recharging battery”, storing excessive green energy for later use. 

                    Dialing hydro power up and down in response to demand has its own challenges though, due to the massive scale of these plants and the consequence of forces generated by millions of liters of water cascading from a great height. 

                    In the latest episode of the Engineer Innovation podcast, I talk to Flow Design Bureau’s Morten Kjeldsen about using engineering simulation to create “virtual sensors” that allow operators to understand how a hydro power station is performing in real time. 

                    “We have tens of kilometers of piping and tunnels filled with water running through a penstock which takes water for a high level to the turbine - it can be anything from 200 to 1200 meter's of head. You have all this inertia when you change your operating conditions, which can generate massive oscillations. If you’re not very careful, bad things can happen…” 

                    Morten Kjeldsen, Flow Design Bureau 

                    • The challenges of running a demand responsive hydro power plant 
                    • The consequences of getting your flow control one 
                    • Building virtual sensors using simulation an edge computing 
                    • The digital twin from the plant operators perspective 
                    • Using legacy equipment outside of its original design parameters 


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

                      If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. 

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

                      23 min

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

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                    Engineer Innovation is a podcast by engineers for engineers, delving into the future of engineering simulation and testing. 

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