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Siemens revolutionizes engineering simulation with HEEDS AI Simulation Predictor and Simcenter Reduced Order Modeling

HEEDS AI Simulation Predictor empowers organizations to take full advantage of the digital twin to optimize products through advanced state-of-the-art AI with built-in accuracy awareness

Innovative, high-performing, designs can be produced faster by using knowledge and learnings from historical simulation studies

Simcenter Reduced Order Modeling uses high-fidelity simulation or test data to train and validate AI/ML models to make predictions in fractions of a second

sw.siemens.com/, Nov. 28, 2023 – 

Siemens Digital Industries Software today set the benchmark for innovation in the field of engineering simulation with the launch of two groundbreaking solutions - HEEDS™ AI Simulation Predictor software and Simcenter™ Reduced Order Modeling software. These tools empower engineers to tackle the most complex challenges manufacturers face, delivering predictive performance with speed, precision, and efficiency.

Siemens' HEEDS AI Simulation Predictor unlocks new possibilities for manufacturers by empowering engineering teams to harness the potential of advanced AI-driven predictive modeling. As a new addition to the Siemens Xcelerator portfolio, it can revolutionize design space exploration.

Key Advantages:

Addressing the AI drift challenge

One of the most significant challenges in AI-powered simulation is AI drift, where models extrapolate inaccurately when faced with uncharted design spaces. To address this challenge, HEEDS AI Simulation Predictor introduces accuracy-aware AI. This new technology actively self-verifies predictions, aiding engineers to conduct simulations that are not only accurate but also reliable in the context of real-world industrial engineering applications.

"With HEEDS AI Simulation Predictor, we have significantly improved various components of the gas turbine, leading to highly optimized designs and accelerated design cycles," said Behnam Nouri, Team Lead, Engineering & Platform Design, Siemens Energy. "Our thermo-mechanical fatigue predictions have been effectively upgraded to process ~20,000 design members in only 24 hours, yielding a 20% improvement in component lifetime. This has allowed us to fully characterize the limits of our existing design space which is required for high-efficiency turbine engines. The HEEDS AI Simulation Predictor technology has enabled us to save over 15,000 hours of computational time."

Siemens today also introduces Simcenter Reduced Order Modeling, new software that harnesses high-fidelity simulation and test data to train and validate AI/ML models. These models then enable engineers to perform predictions in a fraction of a second, transforming the way engineering professionals approach simulation.

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