Simulation-based machine learning and polynomial regression predict melt pool dimensions and spatter volume in LPBF from power and velocity, but the spatter labels come from a classifier transfer and the headline R2 values are partly computed on a log-scaled target that the text does not disclose.
Implementation of the marangoni effect in an open-source software environment and the influence of surface tension modeling in the mushy region in laser powder bed fusion (lpbf)
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Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
Simulation-based machine learning and polynomial regression predict melt pool dimensions and spatter volume in LPBF from power and velocity, but the spatter labels come from a classifier transfer and the headline R2 values are partly computed on a log-scaled target that the text does not disclose.