Title: Integrating Multiscale Modeling and Machine Learning – Design, Analysis and Manufacturing of Advanced Materials and Structures
Presenter: Dr. Xin Liu
Date: February 22, 2021
Time: 1:15 pm-2:15 pm
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Abstract: The superior performances of advanced materials and structures are mainly 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. The accuracy and efficiency of the MSG models will be demonstrated by comparing with conventional finite element models. Moreover, the neural network models were trained to further accelerate the multiscale modeling. The second part of the seminar will introduce the on-going research of developing multiscale and multiphysics models to predict the process-structure-property-performance relation. The multiscale modeling was carried out to predict the effective thermal conductivity. In addition, a two-step homogenization approach was developed to enable in-situ monitoring and performance prediction considering the manufacturing-induced geometry imperfections. The developed approach can be used for the in-process decision making for additively manufactured materials with complex geometry shapes (e.g., metamaterials).
Bio: Dr. Xin Liu is an Assistant Professor in the Industrial, Manufacturing, & Systems Engineering Department at UTA. He is also a member in the Institute for Predictive Performance Methodologies at UTA Research Institute. Dr. Liu obtained his PhD in 2020 and Master of Engineering in 2016 from Purdue University in Aeronautical and Astronautical Engineering. 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 3 computer codes for multiscale modeling of composites. He received the American Society for Composites (ASC) Ph.D. Research Scholarship Award in 2018.