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Real-Time Machine Learning Surrogate for Spatter Mapping and Build Optimization in Laser Powder Bed Fusion Additive Manufacturing
2026-069 Real-Time Machine Learning Surrogate for Spatter Mapping and Build Optimization in Laser Powder Bed Fusion Additive Manufacturing
Key Highlights
● Fast, physics-informed prediction: Machine learning (ML) surrogate trained on CFD-DPM
achieves roughly 200× speedup with ~4.8 mm average positional error, enabling real-time,
iterative...
Published: 4/24/2026
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Updated: 3/9/2026
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Inventor(s): Nicholas O'Brien, Jack Beuth, Satbir Singh
Keywords(s):
Category(s): Software
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