Data-driven Modeling of Thermal Stress in Additive Manufacturing

This lecture covers the data-driven multi-scale modeling of thermal stress in additive manufacturing, focusing on reliable temperature profiles, meso-scale thermal-fluid flow models, and microstructure-dependent properties. The instructor, Prof. Wentao Yan, discusses the research vision of physics-informed predictive modeling for advanced manufacturing, emphasizing digital twins, uncertainty quantification, and intelligent manufacturing systems. The lecture also explores teaching interests in manufacturing, digital twins, and modeling, with a hands-on approach to cultivate critical thinking and confidence in students.