报告时间：2020年1月9号（星期四）上午10：30
报告地点：浙江大学紫金港校区蒙民伟楼402室
报告题目：Recent advances in topology optimization for additive manufacturing
主讲人：吴俊助理教授（Delft University of Technology）
主持人：高曙明教授

Abstract:Topology optimization has been recognized as an important design method for additive manufacturing. It provides an effective means to automatically explore the large design space unveiled by the additive process, and to generate designs with superior structural performance. In this talk I will present some of our recent developments in this multidisciplinary research field. First, to accelerate the generative design of bone-like porous structures, we developed an efficient algorithm to generate lattice structures that are aligned with principal directions of optimized stress fields. This approach demonstrates the synergy of topology optimization and geometry processing, and mesh generation in particular. Second, motivated by advances in multi-axis additive manufacturing (e.g., wire and arc additive manufacturing) which enables fabrication along curved layers, we proposed a framework to concurrently optimize the structural layout and fabrication sequence. This novel concept, which we call space-time topology optimization, exemplifies the importance of integrating process simulation into structural design and process planning.

Biography: Jun Wu is an assistant professor in the Department of Design Engineering at TU Delft, the Netherlands. He received a PhD degree in mechanical engineering from the Beihang University, Beijing, China, and a PhD degree in computer science from the Technical University of Munich, Germany, in 2012 and 2015. Prior to his current position, he was a H.C. Ørsted postdoc fellow with the Technical University of Denmark. His research is focused on computational design and fabrication, which builds upon and extends the state-of-the-art in computer graphics, computer-aided design, and computational mechanics. Please refer to jun-wu.net for research results.