Engineer Innovation  By  cover art

Engineer Innovation

By: Siemens Digital Industries Software
  • Summary

  • A podcast series for engineers by engineers, Engineer Innovation focuses on how simulation and test can help you drive innovation into your products and deliver the products of tomorrow, today. 

    Hosted on Acast. See acast.com/privacy for more information.

    Siemens Digital Industries Software
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Episodes
  • Oct 4 2022

    Welcome to another episode of Engineer Innovation— a podcast for engineers by engineers. Because we all want to build a better tomorrow, faster.


    Most new technology products have a sustainability aspect attached to them. This is happening because we have very strict environmental regulations in many countries. Engineers now have to show regulators the environmental impact their products will have before they can get certified.


    This push for sustainability has also led to more investments in products such as drones and electric cars that reduce emissions. For instance, drones’ small carbon footprint makes them the perfect replacement for fossil fuel-reliant trucks in delivering packages. However, there is a need for a clear regulatory framework to manage their operations in populated areas.


    Today, I’m joined by David Almer, Portfolio Development Executive at Siemens Digital Industries Software.


    Join us as we discuss what the future of drones will look like and their role in promoting sustainability.


    In this episode, you will learn:

    • Why sustainability is important (02:02)
    • What sparked his interest in drones (04:39)
    • The barriers blocking the use of drones in package delivery (07:41)
    • Consideration made when developing drones (10:42)
    • How drones assist in inspecting wind turbines (13:17)


    Connect with David:

    • LinkedIn

    Hosted on Acast. See acast.com/privacy for more information.

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    17 mins
  • Aug 11 2022
    • What is the future of the digital twin in automotive design?
    • How do you accelerate product design and get it right first time?
    • Will it replace physical testing entirely?

     

    Listen to this podcast to find out the answer to these questions and more. Essential listening for anyone involved in digitalization and vehicle performance engineering.


    Hosted on Acast. See acast.com/privacy for more information.

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    39 mins
  • Aug 8 2022

    Welcome to another episode of Engineer Innovation— a podcast for engineers, by engineers. Because we all want to build a better tomorrow, faster.


    Simulation allows engineers to understand how their designs will perform under different circumstances. It is an essential part of any development process as it gives confidence to designs before the actual manufacturing can start.


    Without simulation, it would be difficult to determine which combination of components and component design can give the best performance. The high number of different combinations that can be used for complex designs presents a big problem for engineers.


    Machine learning is used to narrow down workable combinations, thereby, freeing up the engineers to test and improve what can work. It does this by analyzing existing data to create models that closely reflect what different combinations would result in.


    Today, I’m joined by Justin Hodges, a Simcenter Machine Learning Tech Specialist.


    Join us as we discuss how machine learning is used to accelerate the simulation process.


    In this episode, you will learn:

    • The use of ML in simulation (00:53)
    • The benefits of using reduced order models (04:53)
    • An example where ML models have been successfully applied in simulation (10:06)
    • The best place to start if you wish to start using AI in simulation (12:01)


    Connect with Justin Hodges:

    • LinkedIn
    • Siemens Simcenter

    Hosted on Acast. See acast.com/privacy for more information.

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    17 mins

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