Seminars in Materials Science and Engineering
Integrating Multiscale Modeling and Machine Learning: Design, Analysis and Manufacturing of
Advanced Materials and Structures
Xin Liu, Assistant Professor
Department of Industrial, Manufacturing, & Systems Engineering, UTA
Friday, October 8, 2021, 12:00 - 1:00p.m. WH311
Abstract: The superior performances of advanced materials and structures can be achieved through engineering the microstructure at different scales. This seminar will introduce a novel physics-based data-driven multiscale modeling approach to connecting the microstructures to the material properties and structural performances. The first part of this seminar will introduce the basic idea of the multiscale modeling method called mechanics of structure genome (MSG) and its application to textile composite structures. Moreover, neural network models are employed to further accelerate the multiscale modeling of composite materials. In addition, neural network models are coupled into finite element analysis to discover the unknown material models. The second part of the seminar will introduce the ongoing research in additively manufactured metamaterials, including real-time performance evaluation during the printing and the development of ultra-lightweight, high-strength lattice metamaterials.
Biography: Xin Liu is an assistant professor in the Industrial, Manufacturing, & Systems Engineering Department at UTA. He is also a member of the Institute for Predictive Performance Methodologies at the UTA Research Institute. Liu obtained his Ph.D. in 2020 and Master of Engineering in 2016 in Aeronautical and Astronautical Engineering from Purdue University. His expertise is in data-driven multiscale modeling of composite materials and structures. He has authored/co-authored 20+ journal papers and refereed conference papers. He also developed three computer codes for multiscale modeling of composites. He received the American Society for Composites (ASC) Ph.D. Research Scholarship Award in 2018 and Purdue University Koerner Scholarship in 2017.
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