
About
Lang Yuan is an Associate Professor in the Department of Mechanical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on additive manufacturing, materials science, and computational materials engineering, with expertise in microstructure evolution, solidification defects, and X-ray characterization techniques.
Research interests include developing computational models for grain structure prediction during laser powder bed fusion, in-situ monitoring of melt pool dynamics, and defect characterization in additively manufactured materials. Recent work emphasizes process-structure-property relationships in alloys and ceramics, with applications in aerospace and energy sectors.
Methodologies combine synchrotron imaging, discrete element modeling, cellular automata simulations, and machine learning approaches to advance manufacturing quality control and material design.
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