Chicago Future Manufacturing Seminar Series

Digital Twins for Smart Manufacturing

The complex dynamics of smart manufacturing are manifested by non-linear effects, unknown dynamics, high dimensionality, stochasticity, and uncertainty. The manufacturing dynamics have a significant impact on product quality in form accuracy and surface integrity. On the other hand, the rapid advance in digital twins, AI, and 5G wireless communications opens a new opportunity to understand, model, and control manufacturing dynamics. However, how to leverage these enabling technologies for smart manufacturing remains a grand challenge. This talk will start with an overview of smart manufacturing dynamics. Then, a digital twin framework enabled by physics-informed machine learning and 5G wireless communications will be introduced. Case studies in additive, subtractive, and robotic manufacturing are provided in the context. Last, the framework potentials will be discussed to overcome the limitations of conventional modeling, unsatisfactory monitoring, and low computational intelligence for future smart manufacturing. Dr. Yuebin Guo is Henry Rutgers Professor of Advanced Manufacturing and Leads the New Jersey Advanced Manufacturing Institute at Rutgers University-New Brunswick, USA. Prior to Rutgers, he served as the Assistant Director for Research Partnerships at the U.S. Advanced Manufacturing National Program Office (AMNPO). He was also an Alexander von Humboldt Fellow at RWTH Aachen and Fraunhofer IPT, Germany. His research focuses on manufacturing processes, digital twins, physics-informed machine learning, and materials informatics. He is the author of more than 300 peer-reviewed technical publications in these areas. He is a recipient of the SME Sargent Progress Award, ASME Federal Government Swanson Fellow, Tau Beta Pi Outstanding Faculty, NSF CAREER, SAE Teetor Educational Award, and SME Outstanding Young Manufacturing Engineer. He is an elected fellow of ASME, SME, and CIRP.

Host: Prof. Junhong Chen

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