A Multiscale Framework for High Toughness Material Design

COE Cluster Hire Candidate Research Seminar

proudly presents:

Dr. Yan Li

California State University, Long Beach

Abstract: Attainment of both high strength and high toughness in structure materials is a fundamental challenge in material science since these two properties tend to be mutually exclusive. A material design space which allows microstructure-property predictions through energy pathway control holds one of the keys for the next-generation material design. This approach provides an innovative way in understanding the energy dissipation mechanisms and their intricate coupling with material deformation and fracture through multiscale simulations and in-situ Digital Image Correlation (DIC) analysis. Conclusions from this study can provide physical insight and a general guideline of effectively tailoring the microstructures to achieve desirable material properties by redistributing energy dissipations in controllable paths.

Integrating machine-learning technique to the existing material design framework can accelerate the discovery of new materials and lead to a new paradigm in material design and manufacturing. Unlike traditional material design approaches which require repetitive experimental, theoretical and computational studies, the machine-learning and big data driven approach provides a promising avenue to systematically establish the microstructure-property relationship through iterative learning from existing input data. This approach will not only save the cost and shorten the material design cycle, but also provide useful information for material sensitive design due to the stochastic nature of microstructure. Examples of using this material design framework to develop bio-inspired energy absorbing materials and to prevent cyber attacks during digital manufacturing will be provided.

Bio: Dr. Yan Li joined the Department of Mechanical and Aerospace Engineering at California State University, Long Beach as an Assistant Professor in Fall 2014. She received her PhD degree in Mechanical Engineering from Georgia Institute of Technology in 2014. Dr. Li’s primary research interests are in the area of mechanics of advanced materials, involving multiscale/multiphysics modelling, integrated computational/ experimental approaches for next generation material design, and application of material science and solid mechanics in advanced manufacturing. Dr. Li has worked on research projects supported by the U.S. Army Research Laboratory, Sandia National Laboratories, NSF CCMD (Center for Computational Materials Design) and collaborated with industry partners including Boeing, Gulfstream and GE.

Monday, February 25 at 4:00 pm

R. L. Smith Mechanical Engineering-Engineering Mechanics Building (MEEM), 402
1400 Townsend Drive, Houghton, MI 49931

Event Type

Academics, Lectures/Seminars

Target Audience

Students, Graduate, Faculty/Staff

Website

https://www.mtu.edu/mechanical/gradua...

Subscribing Departments ?
Mechanical Engineering, College of Engineering
Host ?

Department of Mechanical Engineering-Engineering Mechanics

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