基于差异演化算法的滚齿工艺参数优化决策
首发时间:2014-10-30
摘要:针对齿轮滚齿加工过程中,经决策后工艺参数加工效果不理想的问题,本文提出了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;其次对滚齿工艺参数种群优化学习策略进行制定;再次创建基于多源信息:加工质量,加工时间,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,决策效率高,综合加工效果更优。
For information in English, please click here
Optimization Decision of Gear Hobbing Process Parameters Based on DE
Abstract:To solve the low efficiency of optimization decision during gear hob machining process, this paper 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.
Keywords: Gear hobbing process parameters optimization decision Differential Evolution
论文图表:
引用
No.4615009962399141****
同行评议
共计0人参与
勘误表
基于差异演化算法的滚齿工艺参数优化决策
评论
全部评论0/1000