题目：Moving Beyond Trial and Error in Precision Cutting: From Automotive to Biomedical Manufacturing
时间：2019年7月16日 15:30-17:00
地点：必赢线路检测中心 F207会议室
邀请人：夏唐斌 副教授（工业工程与管理系）
Biography:
Dr. Lei Chen is Research Investigator in the Department of Mechanical Engineering 
at University of Michigan (UM), Ann Arbor. He is also a joint faculty in the Department of Psychiatry at UM Medical School. He is a member of the Biomedical Manufacturing and Design Lab and the S. M. Wu Manufacturing Research Center. He received his Ph.D. and M.S. in Mechanical Engineering from the University of Michigan, and his B.E. in Mechatronic Engineering from Zhejiang University. His research interests include advanced manufacturing processes and modeling, biomedical design and manufacturing, brain-machine interface, soft tissue and bone cutting processes, material removal mechanics, and thermal analysis.
Abstract:
In manufacturing, tooling design and process parameters are adjusted to obtain high quality products with high throughput at low cost. Empirically finding the optimal setup can be high-cost, time-consuming, and the outcomes are highly dependent on specific tool/workpiece material and cutting condition. Inherent limitations of this approach to get the part “first time right” are related to the lack of physical insights into the process. In this talk, I will discuss the experimental methods and modeling algorithms developed to improve the quality, cost, and efficiency of precision cutting processes, including: (1) experimental methods developed to measure the maximum machined surface temperature at the cutting edge in hard turning, (2) bore cylindricity error source identification in finish cylinder boring through both experiments and modelling to shorten the ramp-up time for new engine block production, (3) impacts of drilling modes and technics used by the surgeons on the bone temperature rise as well as a hollow notched Kirschner wire developed for through-tool cooling during bone drilling, (4) tip design to minimize the biopsy needle deflection in prostate cancer detection, and (5) deep insertion of cellular scale microelectrodes into rat brain without buckling. All these examples, in both automotive and healthcare, which more or less depend on trial and error methods to find the optimal process parameters, can now achieve more precise cylindrical parts/openings in a more efficient manner through better understanding of the cutting process.
