报告题目：Automated Process Planning for 5-axis Milling of Sculptured Surfaces: Challenges and Solutions

报 告 人：ZHANG YUNFENG (Department Of Mechanical Engineering, National University of Singapore 9 Engineering Drive 1, Republic of Singapore)

报告时间：2015年12月17日上午10:00-12:00

报告地点：机械传动国家重点实验室219室

报告简介：In this talk, an automated process planning system for 5-axis point milling of sculpture surfaces (finish cut) will be presented. In the system, the developed methods cover all three major tasks of process planning, i.e., accessibility evaluation, cutter(s) selection, and tool-path generation.

Firstly, a point-based cutter accessibility evaluation algorithm is developed to obtain the accessible posture range (called accessibility map or A-map) of a cutter at a point on the surface. The A-map algorithm serves as the basis for cutter selection and tool-path generation. For cutter selection, a novel method for tool-path length estimation for a given cutter to finish an accessible machining area is developed. With this algorithm, the optimal multi-cutter set (in terms of cutting efficiency) can be identified effectively. For tool-path generation, an evolutionary optimization algorithm has been developed to generate parallel tool-paths, one at a time. During the generation, both tool-path smoothness and machining efficiency are considered as optimization objectives. Furthermore, algorithms are developed to detect and eliminate possible machining interferences during the interpolation process between cutter locations (CLs).

The developed methods have been implemented as a system for generating finish-cut tool-paths with controlled smoothness and good machining efficiency. It represents an important step towards realizing automated and practical CAM system for 5-axis point-milling of complex sculptured surfaces.

报告人简介：Y F Zhang received his B.Eng. in Mechanical Engineering from Shanghai Jiao Tong University, China in 1985 and Ph.D. from the University of Bath, UK in 1991. He is currently an Associate Professor at the Department of Mechanical Engineering, National University of Singapore. His research interests include computational intelligence in design and manufacturing (cloud data modeling, 5‐axis machining planning, etc) and operations research (process planning, scheduling, and their integration, VRP, and multi‐objective optimization for UAV mission planning). He has received various international awards including the Kayamori Best Paper Award ICRA’99 and the IMechE 2011 Thatcher Bros Prize.

欢迎广大师生参加！

机械传动国家重点实验室

二〇一五年十二月十五日