学术报告：Optimization of dispersion particle in aluminum alloy via reverse 4D materials engineering

报告摘要：Materials design is contingent on the availability of reliable linkages between the microstructure and its associated mechanical properties. This work investigates a surrogate model, which is derived from 3D image-based simulation for revealing the optimum microstructure of particles in materials. This new approach comprises the following steps: (1) generating a dataset using an ensemble of representative microstructures and obtaining their mechanical responses using established finite element simulations, (2) establishing a low-dimensional representation of microstructure microstructures, (3) establishing a relationship between the selected microstructure parameters and mechanical properties using support vector machine, and (4) Obtaining optimum parameters. The proposed methodology has good computational efficiency and accuracy.

主办单位：英国立博官网中文版

报告专家：李函，华中农业大学

报告时间：2018年5月28日（星期一）上午9：00

报告地点：学院201学术报告厅

专家简介：Han Li received PhD degree in the School of Mathematics and Statistics at Beijing University of Aeronautics and Astronautics in 2012. She worked as a researcher at Toyohashi University of Technology between 2013 and 2104, and a project assistant professor at Kyushu university between 2014 and 2017. She currently works as an associate professor at College of Informatics, Huazhong Agricultural University.