题目：Design for Discovery: Structural Shape & Topology Optimizationin the Age of 3D Printing
报告人：Shikui Chen, Assistant Professor
时间：2018年5月14日上午10：00
地点：武汉大学动力与机械学院报告厅
欢迎各位师生踊跃参加！
Abstract text:
Topology optimization is an optimization-driven methodology capable of generating an optimal design without depending on the designers’ intuition, experience, and inspiration. Topology optimization will play a crucial and rapidly expanding role in design innovation in the 3D printing age, especially in automotive, aerospace and machine industries. In this talk, the speaker will make a brief review of state of the art and introduce a level-set based topology optimization framework. In the level set framework, the boundary of the design is implicitly represented as the zero level set of a one higher dimensional level set function. Embedding the design in one higher dimension allows the flexibility in topological changes such as boundary merging or splitting in the design process while keeping the boundary of the design clearly defined. After that, the speaker will report some of our recent efforts to advance the level set based topology optimization both in methodology and in applications. Selected topics include a variational distance-regularized parametric level set method, distributed compliant mechanism synthesis, multi-physics energy harvester design, robust shape and topology optimization (RSTO) under uncertainty, and integrated design and additive manufacturing of composite mechanical metamaterials and conformal metasurfaces.
Biography:
Professor Shikui Chen has been an assistant professor of the Mechanical Engineering Department at the State University of New York, Stony Brook since 2013. Dr. Chen earned his Ph.D. in Mechanical Engineering from Northwestern University. His research interests are in computational science based design optimization, particularly in the methodology and applications of structural shape and topology optimization, geometric modeling with level set methods, multiphysics simulation, PDE-constrained optimization, and simulation-based design under uncertainty. His research work has been funded by government and industry grants, including National Science Foundation (NSF), the University Transportation Research Center (UTRC), Ford Motor Company, Stratasys and SUNY Materials and Advanced Manufacturing Network of Excellence. Dr. Chen is a member of ASME and AIAA. He was the recipient of the ‘ASME Compliant Mechanisms Theory Award’ in the ASME 31st Mechanisms and Robotics Conference.
