Attend a seminar on Multiphysics-resolved Digital Twins for the Future of Smart Manufacturing, Oct. 4

Join the School of Manufacturing Systems and Networks for a seminar on Multiphysics-resolved Digital Twins for the Future of Smart Manufacturing.

About the speaker

Zhengtao Gan completed his doctoral degree in mechanics with national honors from the Chinese Academy of Sciences. Following graduation, Gan secured a postdoctoral fellowship at Northwestern University and was quickly promoted to research associate. By August 2024, Gan transitioned into the role of assistant professor in the School of Manufacturing Systems and Networks, part of the Ira A. Fulton Schools of Engineering at Arizona State University. Gan’s research expertise lies in the multiphase multiphysics modeling of complex mesoscopic systems, machine-learning-based design for advanced manufacturing processes and thermo-hydromechanical-chemical processes in enhanced geothermal systems. Gan’s achievements have been recognized with federal funding from the Department of Energy, the National Science Foundation and the Pacific Northwest National Laboratory, alongside prestigious awards, including the Top Performer Award from the Air Force Research Laboratory in 2020 and First Place Awards at the National Institute of Standards and Technology AM-Bench in both 2018 and 2022.

Abstract

The future of smart manufacturing will revolutionize the industry with advanced features like seamless data integration, simplified technology, artificial intelligence, autonomous robotics and digital simulations. These changes aim to improve production monitoring, energy efficiency and cost-effectiveness. However, current additive manufacturing practices face limitations, such as limited materials, defects and inconsistent data. This talk introduces a solution: the multiphysics-resolved digital twin, which combines data and models to improve control of manufacturing systems. Gan will discuss advanced computational methods and machine learning models that speed up simulations and improve manufacturing processes. Finally, Gan will highlight ongoing projects and future research in the field of smart manufacturing.

Multiphysics-resolved Digital Twins for the Future of Smart Manufacturing Seminar
Friday, Oct. 4, 2024
10:30 a.m.–noon
Peralta Hall (PRLTA) 130, Polytechnic campus [map]