基于差异演化算法的滚齿工艺参数优化决策
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摘要
针对齿轮滚齿加工过程中,工艺参数决策低效的问题,提出一种基于差异演化算法的滚齿工艺参数优化决策方法,首先对滚齿工艺参数种群进行表示及编码;其次制定滚齿工艺参数种群优化学习策略;再次创建基于多源信息:加工质量、加工时间及资源消耗的适应度函数;最后进行基于差异演化算法的滚齿工艺参数优化决策。此方法与基于图论和模糊TOPSIS的高速切削工艺参数优化决策方法相比,综合加工效果更优。
To solve the low efficiency of optimization decision during gear hob machining process,proposed optimization decision of gear hobbing process parameters method based on difference evolution algorithm. Gear hobbing process parameters populations were presented and coded firstly. Then population optimization learning strategies were confirmed. What's more,the fitness function about multi-source information was built,such as machining quality,machining time,source consummation. Finally,self-adaptive adjustment was conducted based on DE. Compared with the method of high-speed cutting parameters optimization decision based on graph theory and fuzzy TOPSIS,it has higher efficiency and better integrated processing effect.
To solve the low efficiency of optimization decision during gear hob machining process,proposed optimization decision of gear hobbing process parameters method based on difference evolution algorithm. Gear hobbing process parameters populations were presented and coded firstly. Then population optimization learning strategies were confirmed. What's more,the fitness function about multi-source information was built,such as machining quality,machining time,source consummation. Finally,self-adaptive adjustment was conducted based on DE. Compared with the method of high-speed cutting parameters optimization decision based on graph theory and fuzzy TOPSIS,it has higher efficiency and better integrated processing effect.
引文
[1]ZHAN Zhihui,ZHANG Jun.Self-Adaptive Differential Evolution Based on PSO Learning Strategy[J].GECCO,2010(10):39-46.
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[6]MALLIPEDDI R,SUGANTHAN P N,PAN Q K,et al.Differential Evolution Algorithm with Ensemble of Parameters and Mutation Strategies[J].Applied Soft Computing,2011,11(2):1679-1696.
[7]WANG Yong,CAI Zixing,ZHANG Qingfu.Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters[J].Ieee Transactions On Evolutionary Computation,2011,15(1):55-66.
[8]《齿轮制造工艺手册:滚、插、磨、剃、刨》编委会.齿轮制造工艺手册:滚、插、磨、剃、刨[M].北京:机械工业出版社,2010.
[9]张明树,阎春平,覃斌.基于图论和模糊TOPSIS的高速切削工艺参数优化决策[J].计算机集成制造系统,2013,19(11):2802-2809.
[2]钟华,高协平,段艺华.高性能自适应调整参数的遗传算法[J].湘潭大学信息工程学院,2001,23(4):14-18.
[3]武志峰,黄厚宽.自适应调整控制参数的差异演化算法[J].计算机工程与设计,2012,33(3):1175-1179.
[4]PRICE K V,STOMR M,LAMPINEN J.A Differential Evolution:A Practical Approach to Global Optimization[C].Berlin,Germany:Springer-Verlag,2005.
[5]LIU J,LAMPINEN J.“A fuzzy adaptive differential evolution algorithm”,Soft Comput[J].A Fusion of Foundation,Methodologies and Applications,2005,9(6):448-462.
[6]MALLIPEDDI R,SUGANTHAN P N,PAN Q K,et al.Differential Evolution Algorithm with Ensemble of Parameters and Mutation Strategies[J].Applied Soft Computing,2011,11(2):1679-1696.
[7]WANG Yong,CAI Zixing,ZHANG Qingfu.Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters[J].Ieee Transactions On Evolutionary Computation,2011,15(1):55-66.
[8]《齿轮制造工艺手册:滚、插、磨、剃、刨》编委会.齿轮制造工艺手册:滚、插、磨、剃、刨[M].北京:机械工业出版社,2010.
[9]张明树,阎春平,覃斌.基于图论和模糊TOPSIS的高速切削工艺参数优化决策[J].计算机集成制造系统,2013,19(11):2802-2809.