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Optimization of dispersion particle in aluminum alloy via reverse 4D materials engineering
作者:      发布时间:2018-05-26       点击数:
报告时间 2018年5月28日09:00-10:00 报告地点 英国威廉希尔体育公司201报告厅
报告人 李函(华中农业大学)

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:英国威廉希尔体育公司

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:公司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.


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