Siemens Digital Industries Software has 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 revolutionise design space exploration.
- Optimise products with precision: HEEDS AI Simulation Predictor harnesses state-of-the-art AI with built-in accuracy awareness helps organisations to fully leverage the digital twin to fine-tune and optimise their products with unprecedented precision.
- 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.
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.
HEEDS AI Simulation Predictor significantly improves various components of the gas turbine, leading to highly optimised designs and accelerated design cycles. “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 allows to fully characterise the limits of existing design space which is required for high-efficiency turbine engines. The HEEDS AI Simulation Predictor technology has saved over 15,000 hours of computational time.
Siemens 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.
- Speed and precision: 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.
- 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.