Siemens’ Engineering HEEDS AI Simulation Predictor Optimizes Additive Manufacturing

Siemens Digital Industries Software’s is advancing engineering simulation with the launch of two of its latest solutions — the- 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. 

The HEEDS AI Simulation Predictor unlocks new possibilities for manufacturers by empowering engineering teams to harness the potential of advanced artificial intelligence (AI)-driven predictive modeling. As an addition to the Siemens Xcelerator portfolio, it may revolutionize design space exploration. 

One key advantages is the ability to optimize products with precision. The HEEDS AI Simulation Predictor harnesses state-of-the-art AI with built-in accuracy awareness to help organizations fully leverage the digital twin to fine-tune and optimize their products with precision. Another advantage is the ability to create faster, more innovative designs. By tapping into historical simulation studies and accumulated knowledge, engineering teams can swiftly craft high-performing, innovative designs, significantly reducing time-to-market.

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 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,” says Behnam Nouri, team lead, engineering and platform design, Siemens Energy. “Our thermomechanical fatigue predictions have been effectively upgraded to process approximately 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.”

The Simcenter Reduced Order Modeling software 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. 

One key advantages is speed and precision. The Simcenter Reduced Order Modeling uses high-fidelity data to empower engineers to gain rapid predictions and to make critical decisions in a fraction of the time it would take using conventional methods. It also offers predictive performance. By training AI/ML models on comprehensive datasets, this technology enables engineers to gain robust, reliable and trustworthy insights, helping to eliminate the common issue of AI drift.

“Simcenter Reduced Order Modeling lets us accelerate our simulation models to the point where a detailed fuel cell plant model runs faster than real time, with the same accuracy as a full system model,” says Jurgen Dedeurwaerder, simulation engineer, Plastic Omnium. “This enables activities such as model-in-the-loop controller development and testing to be done faster, shortening the overall development cycle by around 25%. At the same time, it gives us a reliable, IP protected and cost-effective way to distribute models to other teams, both internally and to our customers, to augment their own products and processes, resulting in better quality products delivered to end users.”