启发式算法的孔群加工路线模糊多目标优化  

Fuzzy multi-objective optimization of holes machining by heuristic algorithm

作　　者：曾议[1] 孙莉[1] 孙友文[1] 刘凤垒[1] 薛辉[1] 司福祺[1] 

机构地区：[1]中国科学院安徽光学精密机械研究所,合肥230031

出　　处：《现代制造工程》2016年第4期44-50,151,共8页Modern Manufacturing Engineering

基　　金：国家自然科学基金项目(41275037);安徽省自然科学基金项目(1308085QF124)

摘　　要：研究一类在加工中广泛存在的孔群加工(Hole Group Machining,HGM)优化问题。孔群加工是多孔类零件加工中重要的工艺过程,研究其加工路线优化方法对于提高多孔类零件的加工效率、降低加工成本有重要意义。与传统的多孔加工点位优化不同,综合考虑了刀具选择、加工参数、加工次序及刀具路径的影响,以加工效率和成本为目标,建立优化问题数学模型。采用改进启发式算法克服了传统算法早熟、爬山能力弱,以及收敛性能不理想等缺点,并引入交互式多优先级控制,对加工工艺进行模糊多目标优化,提高了算法实用性。最后通过实例计算证明了算法的有效性。Holes machining process planning is significant to improve the machining efficiency and reduce the cost of multi-hole parts. Based on the study of typical process routing, the disadvantage of conventional models was revealed. Not only the point-posi- tion optimization was considered, but also other important factors of holes machining such as tools, holes dimension, drilling pa- rameters, process sequence and machining path were discussed. In addition, an original fuzzy-rules set and different priorities were defined to describe and evaluate the customer＇ s desire. According to them, an interactive decision-making system was developed so that the new fuzzy model for multi-objective optimization was constructed. To solve this complex problem of process planning, a novel modified-GA-based method with multiple priorities and fuzzy members was proposed. Further, they were appropriately in- tegrated into the CAD/CAM system to improve the performance and practicability. Finally, an example was examined to illuminate application of the whole system. The results demonstrate the validity and feasibility of the method. The experimental analysis shows that it can guarantee both the various objective optimizations and the priority requirement. It is expected that this develop- ment help to promote popularization of Computer-Aided-Process-Planning（CAPP） for holes machining as well as demand increase hereafter.

关 键 词：孔群加工 模糊多目标优化 优先级控制 自适应启发式算法 计算机辅助工艺规划 

分 类 号：TH162[机械工程—机械制造及自动化] TP301[自动化与计算机技术—计算机系统结构]