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Industrial AI Podcast

Siemens Energy: How to decrease simulations computing days down to minutes.

Feb 21, 2024
Siemens Energy AI expert discusses reducing simulation computing time with machine learning. Topics include turbine optimization, evolution of turbines in energy generation, speeding up engineering simulations, evolution of machine learning models, simulating material deformation, and efficiency with NVIDIA A100 GPUs.
39:50

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Quick takeaways

  • Siemens Energy uses machine learning to reduce simulation time from days to minutes, enhancing turbine design efficiency.
  • Exploring generative design and 3D surrogate models, Siemens Energy aims for faster, more accurate turbine design predictions.

Deep dives

Application of Machine Learning in Industrial Design Process

The integration of machine learning in industrial design process is revolutionizing the approach to turbine optimization at Siemens Energy. By incorporating machine learning tools, the company aims to overcome computational limitations and enhance design robustness. Through a combination of commercial and in-house tools, like Heats AI Accelerator, simulations that once took days can now be completed in minutes, leading to increased efficiency in designing turbine components.

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