报告题目：Recent advances in topology optimization for additive manufacturing
报 告 人：吴俊 博士（代尔夫特理工大学助理教授）
报告时间：2020年1月6日（星期一）上午10:00
报告地点：聚合物新型成型装备国家工程研究中心综合楼407会议室
欢迎广大师生踊跃参加!
机械与汽车工程学院
2020年1月2日
报告人简介：
吴俊，荷兰代尔夫特理工大学(TU Delft)设计工程系助理教授。2006年本科毕业于北京航空航天大学宇航学院，2012年获得北航机械工程博士学位，2015年获得德国慕尼黑工业大学(TU Munich)计算机科学博士学位。在就职代尔夫特理工大学之前，受欧盟玛丽居里基金资助在丹麦科技大学(TU Denmark)机械工程学院从事博士后研究。现担任计算机辅助设计权威期刊Computer-Aided Design编委。吴俊教授研究方向为计算机图形学和计算力学。具体研究问题包括拓扑优化，3D打印，柔性机器人和手术仿真。详细请见吴俊教授个人主页：www.jun-wu.net
报告摘要：
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 exemplifies 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, demonstrates the importance of integrating process simulation into structural design and process planning.
