2 papers
cs.LG2026
Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Melt Pool Dynamics in Laser Powder Bed Fusion
R. Sharma, Y. B. Guo
Efficient simulation of Laser Powder Bed Fusion (LPBF) is crucial for process prediction due to the lasting issue of high computational cost associated with traditional numerical m…
cs.CE2025
Integrated physics-informed learning and resonance process signature for the prediction of fatigue crack growth for laser-fused alloys
Panayiotis Kousoulas, Rahul Sharma, Y. B. Guo
Fatigue behaviors of metal components by laser fusion suffer from scattering due to random geometrical defects (e.g., porosity, lack of fusion). Monitoring fatigue crack initiation…