Speaker: Grace Gu, Assistant Professor of Mechanical Engineering University of California, Berkeley
Topic: "Machine Learning for Intelligent Materials Design and Additive Manufacturing"
ABSTRACT
Architected materials are prevalent in nature and known for their unprecedented mechanical properties, such as high strength-to-weight ratio, energy absorption, and damage tolerance. The mechanical properties of architected materials are governed by their intrinsic material properties and hierarchical structures. In this talk, I will first present our computational approaches combining physics-based simulations and generative machine learning models to design architected materials. Additive manufacturing is a promising technology to create architected materials with complex structures. However, current additive manufacturing technologies face challenges to deliver robust quality due to various environmental effects, machine degradation, material impurity, among others. In the second part of this talk, I will discuss how to improve the robustness of additive manufacturing by incorporating sensor technologies, computer vision, and predictive machine learning models. I will present our recent work using a real-time condition monitoring and autonomous correction system to diagnose the quality of printed parts, classify potential defects, and adjust process parameters iteratively and adaptively to ensure high printing quality. I will conclude by describing how these intelligent design and manufacturing frameworks can be advantageous for addressing the world's grand challenges in sustainable energy, healthcare, and space exploration, among others.
BIOGRAPHY
Grace X. Gu is an Assistant Professor of Mechanical Engineering at the University of California, Berkeley. She received her PhD and MS in Mechanical Engineering from the Massachusetts Institute of Technology and her BS in Mechanical Engineering from the University of Michigan, Ann Arbor. Her current research focuses on using mutiphysics modeling and artificial intelligence to design new materials with superior properties for mechanical, biological, and energy applications, as well as developing intelligent additive manufacturing technologies to realize complex designs.
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