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Real-Time ML Surrogate for Spatter Mapping and Build Optimization in L-PBF
2022-069 Real-Time ML Surrogate for Spatter Mapping and Build Optimization in L-PBF
Benefit
This technology is a fast-response machine learning surrogate model for predicting spatter transport and contamination in laser powder bed fusion (L-PBF) additive manufacturing. The innovation combines gradient-boosted random forest modeling with custom loss...
Published: 4/24/2026
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Updated: 2/23/2026
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Inventor(s): John Galeotti
Keywords(s):
Category(s): Technology
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