We focus on metal additive manufacturing, particularly laser powder bed fusion (L-PBF) and electron-beam powder bed fusion (E-PBF).
Our research advances industrially relevant LPBF technologies widely adopted in manufacturing, as well as E-PBF processes tailored for extreme-environment materials.
Through international collaborations, we explore to develop reliable, qualification-ready metal AM systems for high-performance applications.
We explore novel additive manufacturing methods to fabricate complex multi-metal structures beyond the limitations of conventional processes.
We are particularly interested in the fundamental process–microstructure–property relationships that govern thermal and mechanical performance in advanced engineering systems.
We integrate in-situ monitoring, computer vision, and machine learning to detect process-induced defects in metal additive manufacturing. Our goal is to translate layer-wise anomaly detection into reliability-based qualification and predictive performance evaluation.