Our research aims to understand and harness the mechanisms that control microstructure evolution in advanced manufacturing platforms. We accomplish this by leveraging novel experiments and computational tools designed at capturing the real-time behavior of structural metals under various applied fields. Our most recent work has focused on metals additive manufacturing (3D Printing) using both beam (SLM, DED) and non-beam (Binder jet) based technologies. Overall our goal is to understand, predict, and ultimately control fundamental process-structure-property relationships in metals at the mesoscale (~ 1um – 1mm) via coupled multi-physics experiments and simulations.
Jerard Gordon
Assistant Professor of Mechanical Engineering, College of Engineering
Assistant Professor of Materials Science and Engineering, College of Engineering
Linking structure to performance in advanced materials
COntact
WebsiteLocation
Ann Arbor
Methodologies
Machine Learning / Mathematical and Statistical Modeling / Simulation / Statistics
Applications
Community Affiliation