FEA-PINN combines a physics-informed neural network with corrective finite element simulations to predict melt pool dynamics in laser powder bed fusion at accuracy comparable to full FEA but lower computational cost.
A Physics -Informed Two -Level Machine -Learning Model for Predicting Melt-Pool Size in Laser Powder Bed Fusion
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Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Melt Pool Dynamics in Laser Powder Bed Fusion
FEA-PINN combines a physics-informed neural network with corrective finite element simulations to predict melt pool dynamics in laser powder bed fusion at accuracy comparable to full FEA but lower computational cost.