Cheng Li

Physics-inspired semi-supervised multi-loss learning for internal defect monitoring in laser directed energy deposition

In laser directed energy deposition (LDED) additive manufacturing, monitoring internal defects based on melt pool features is critical for ensuring product quality, process efficiency, and operational safety. However, existing monitoring approaches remain constrained by two key limitations: (i) the scarcity of defect-l...