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Terra Quantum and Empa have deployed a Fourier Neural Operator that accelerates 3D melt-pool prediction in laser welding by a factor of 100,000 compared to traditional simulations. This breakthrough enables real-time digital twins for industrial processes by bypassing the computational bottlenecks inherent in multiphysics modeling. The model's ability to generalize across resolutions and welding regimes represents a significant leap forward for AI-driven manufacturing control systems.
Terra Quantum and Empa Develop AI Model for Laser Welding
Terra Quantum & Empa’s LP-FNO, an artificial intelligence surrogate model, predicts 3D melt-pool dynamics in laser welding up to 100,000x faster than simulations.
Terra Quantum and Empa have developed an artificial intelligence model, LP-FNO (Laser Processing Fourier Neural Operator), that predicts three-dimensional melt-pool dynamics in laser welding up to 100,000 times faster than conventional methods, the company says. This advance removes a critical computational barrier to real-time process control and the deployment of industrial digital twins. “The ability to compress hours of physics simulation into milliseconds is not an incremental improvement, it is the kind of change that makes entirely new applications possible,” says Markus Pflitsch, CEO and Founder of Terra Quantum. The model, trained on simulations of Ti-6Al-4V titanium alloy, currently achieves…
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