Research on Optimization of Cutting Parameters Based on Genetic Algorithm

摘要：

　　Three elements of Cutting dosages have a great effect on parts surface quality and working efficiency,the best organization of cutting three elements for parts surface quality must be found before machining,in order to surface roughness and machining cost of parts,multi-objective optimization model is established in this paper,model is solved by using genetic algorithm.Based on the BP neural network of three layers,forecasting model of surface roughness is established.According to existing experiment data and optimized cutting dosages,analysis and prediction of surface roughness is done.Machining experiment is done by using optimized data.The experiment result verifies feasibility of this optimistic method and prediction method of surface roughness.

关键词： Cutting Dosages BP Neural Network Genetic Algorithm Multi-objective Optimization

作者: Shuren ZHANG Xueguang LI Jun WANG Huiwei WANG

作者单位: College of Mechanical and Electrical Engineering,Changchun University of Science and Technology, Changchun 130022

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4640-4645

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）