Xiang-Meng Meng

Universal physics-informed machine learning framework for the prediction of porosity defects in high-power laser beam welding with different metallic materials

High-power laser beam welding (LBW) is a widely used joining technique for metallic materials. However, porosity defects frequently arise during the process, leading to significant degradation of weld properties. Accurate prediction of porosity remains challenging due to the highly nonlinear and material-dependent unde...