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

  • Adapting to a New Era of AI

    On today’s episode, we’re joined by Justin Hodges, Senior AI/ML Technical Specialist in Product Management at Siemens Digital Industries Software, and Remi Duquette, Vice-President of Innovation and Industrial AI at Maya HTT.

    We talk about:

    • How ChatGPT has changed public perception and understanding of AI.
    • How both Justin and Remi found their way into AI, and their journeys so far.
    • Whether AI is accessible for people without much prior experience.
    • Some of the best examples of AI and ML today.
    • The value of digital twins.
    • The importance of data quality with AI.
    • How AI and ML can help us explore innovation.
    • Will AI replace engineers?
    • How can organizations start implementing ML and AI in their workflows?

    • 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
    • Experiencing the Digital Twin in the Industrial Universe

      On today’s episode of the Engineer Innovation podcast, we’re joined by Virginie Maillard, Head of Global Research in Simulation and Digital Twin at Siemens. She’s here to talk about the role of the digital twin in the emerging industrial metaverse and what the future holds.

      We talk about:

      • What is digital twin and what type of digital twin are there?
      • What kind of research is taking place around digital twin?
      • What is the industrial universe? How is different from other types of metaverses?
      • How digital twin can be used in the industrial universe.
      • What companies can gain from moving to the industrial universe.
      • How does sustainability factor into the industrial universe?
      • What do the next few years hold for digital twin?

      • 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.

        #IndustrialMetaverse #DigitalTwin #Innovation #WomenInStem

        29 min
      • Rethinking Fuel for Industrial Thermal Systems

        On today’s episode of the Engineer Innovation podcast, we’re joined by Guy de Carufel and Eric Duplain. Guy is the Director of Engineering and Operations at BMA and Eric is CFD Project Engineer, also at BMA.

        They’re here to discuss the impact of carbon emissions from industrial thermal systems. We talk about:

        • The complexity and types of industrial thermal systems.
        • Optimizing their customers’ existing processes and equipment
        • Is fuel switching becoming a common practice?
        • Responding to accusations of greenwashing
        • Biomass, hydrogen and other alternatives to fossil fuels.
        • Important lessons for people looking to bring sustainability to this industrial sector

        • 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.  

          #Energy #RenewableEnergy #SolarEnergy #PowerGeneration #EnergyEfficiency #CleanEnergy #WindEnergy #EnergyManagement #GreenEnergy #NaturalResources

          40 min
        • Exploring Massive Engineering Data Analytics

          On today’s episode, we’re joined by Ian McGann. Ian is the Director of Innovation for TSVT at Siemens Digital Industries Software. We talk about:

          • What massive engineering data analytics is.
          • How Ian collects the data he uses and the work involved in processing it.
          • Spotting outliers in data — does it have to be manual?
          • How machine learning is taking individual experience and making it more transferable.
          • The payoff of massive engineering data analytics.
          • Understanding executable digital twins, and some use cases for them.
          • How mature is massive engineering data analytics? What steps can companies take to get started?
          • What are Bayesian networks?
          • What Siemens is doing to help people on the journey to massive engineering data analytics.

          • 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.

            #MachineLearning #Robotics #NeuralNetworks #AI #Automation #AutonomousDriving #Autonomous #IntelligentAutomation #Selfdriving

            40 min
          • The Importance of Computer Simulations

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

            Computer simulations have the ability to take unethical studies and test the set of circumstances in a safe way. This means that engineers now have the ability to learn more about dangerous situations without endangering any lives. 

            One specific thing that simulations, like the SimCenter Madymo, are able to test is the impact of car and cyclist accidents on the human body and how helmets affect the outcome. Because of discoveries like this, we can now pinpoint what causes certain injuries and what we can do to prevent them. 

            Today, I’m joined by Donal McNally, a Nottingham University Professor in the field of bioengineering.  

            Join us as we discuss how he was able to reconstruct the car accident he had as a cyclist to understand what happened to him and how he’s using that information to better help society.

            In this episode, you will learn:

            • What Donal remembers from the accident (01:42)
            • How Donal solved the mystery of what happened to him (02:48)
            • Computer simulations are able to safely test the efficacy of helmets (04:30)
            • What the SimCenter Madymo is used for (06:56)
            • How safe flooring can help with fall prevention (13:17)
            • 18 min
            • In silico: Medical device innovation through simulation

              A big reason most devices never get to market is the cost of developing and testing viable prototypes. Most companies will run out of capital before their product is fully certified.

              Lowering the cost of development opens up the door for great innovations by bold startups to reach the market faster. If these innovations are, for instance, in the medical device space, their arrival to the market will improve the quality of life for many people.

              One of the ways to lower the cost of product development is by digitalizing the development process. This involves building and testing a virtual prototype by simulating real-life occurrences before building the cost-intensive physical prototype.

              Today, we're joined by Tim Dieryckx, CEO of Voxdale – a company that helps entrepreneurs and professionals accelerate the development of great hardware & IoT devices.

              Join us as we discuss the importance of engineering simulation in medical device development.

              In this episode, you will learn:

              • How Voxdale helps startups (02:07)
              • The role that simulation plays in designing medical devices (03:29)
              • What “in silico” means in the context of medical device development (06:13)
              • The benefits of simulating with “in silico” (08:18)
              • How simulation helps lower the cost of a medical device (15:58)
              • 23 min
              • Drones and Sustainability

                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)
                • 17 min
                • Digitalization and the future of vehicle performance engineering
                  • 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.

                    40 min
                  • The Use of Machine Learning in Simulation

                    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.

                    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)
                    • 17 min
                    • Noise Testing Electric Vehicles

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

                      One of the main differences between combustion engine vehicles and electric vehicles is the level of noise generated. Combustion engines are loud while the latter is very quiet.

                      While the lack of noise can be interpreted as a benefit, it also presents a few problems. First, it makes the vehicle unsafe to other road users who rely on vehicle sounds to understand the speed and direction of movement. It also unmasks other noises such as the aircon and motor thumping noises that are masked by engine noise in combustion vehicles.

                      This is why noise testing is an important concept in electric vehicles. It allows OEMs to understand how they can reduce unnecessary noise and introduce active noise for safety and comfort purposes.

                      Join us as we discuss the importance of noise testing in electric vehicle development.

                      In this episode, you will learn:

                      • Katleen’s view on electric cars (04:00)
                      • What testing electric vehicles entails (05:48)
                      • Differences between combustion engine vehicles and electric vehicles (08:10)
                      • The most common misunderstanding about vehicle testing (11:05)
                      • The importance of active sound in electric vehicles (14:45)
                      • 22 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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