Multi-Pass Progressive Tool Path Planning in 5 - Axis Flank Milling by PSO Algorithms
This paper proposes a novel planning method of multipass tool path in 5 - axis flank machining of ruled surfaces. The path planning task is transformed into an optimal curve matching problem. The objective in the optimization is expressed as a weighted sum of the errors induced by overcut and undercut respectively. Evolutionary computing algorithms based on Particle Swarm Optimization are applied to search for optimized tool path. Running the algorithms multiple times produces multi-pass tool motion that progressively improves the machining quality. Different optimized results can be generated for each pass by properly adjusting the weights in the objective. Simulation results show that our approach produces smaller machining errors compared to traditional planning of single tool path. It offers a planning flexibility that was never conceived in the past.
5 - axis machining flank milling particle swarm optimization multi-pass tool path
Hsin-Ta Hsieh Yi-Chun Tsai Chih-Hsing Chu
Department of Industrial Engineering and Engineering Management, Tsing-Hua University, Hsinchu, Taiwan, China
国际会议
The Institute Industrial Engineera Asian Conference 2011(2011年国际工业工程师协会亚洲会议)
上海
英文
3-9
2011-06-10(万方平台首次上网日期,不代表论文的发表时间)