Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning
ThermalControlLPBF-DRL Code implementation of the paper “Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning”. This repository is the implementation of the paper “Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning”, linked here. The project makes use of the Deep Reinforcement Library stable-baselines3 to derive a control policy that maximizes melt pool depth consistency. Simulation Framework The Repeated Usage of Stored Line Solutions (RUSLS) method proposed by Wolfer et al. is used to simulate the […]
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