丝杠硬态旋铣工艺的多目标参数优化  

Multi-objective optimization of machining parameters for hard whirlwind milling of screw

作　　者：何彦[1] 余平甲 王乐祥[1] 李育锋[1] 王禹林[2] HE Yan;YU Pingjia;WANG Lexiang;LI Yufeng;WANG Yulin(State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China;School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

机构地区：[1]重庆大学机械传动国家重点试验室,重庆400030 [2]南京理工大学机械工程学院,江苏南京210094

出　　处：《计算机集成制造系统》2018年第4期894-904,共11页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51575072);重庆市基础与前沿研究计划资助项目(cstc2015jcyjBX0088;cstc2013jcycA70014);江苏省"六大人才高峰"(2014-ZBZZ-006);南京理工大学"卓越计划""紫金之星"资助项目(2015-zijin-07)~~

摘　　要：为了进行丝杠硬态旋风铣削下工艺能耗与工艺性能协同优化研究,提出一种同时考虑切削比能、表面粗糙度和表层残余应力的多目标优化方法。基于Box-Behnken试验设计,采用响应曲面法对丝杠硬态旋铣的切削比能、表面粗糙度和表层残余应力进行建模,进一步构建了以丝杠硬态旋铣工艺参数为变量、以低能耗和高性能为优化目标的多目标优化模型。采用改进型非支配排序遗传算法对该模型进行求解,并通过试验数据和优化结果的比较论证了本文优化方法的有效性。To research the coordination optimization between machining energy and machining performance for hard whirlwind milling of screw,the multi-objective optimization method considering specific energy consumption,surface roughness and surface residual stress was proposed.According to the Box-Behnken experiments,specific energy consumption,surface roughness and surface residual stress were modeled with Response Surface Methodology（RSM）respectively.Based on the above models,the multi-objective optimization model was established by taking machining parameters of whirlwind milling as input variables,and specific energy consumption,surface roughness and surface residual stress as optimization objectives.The Non-dominated Sorting Genetic Algorithm Ⅱ（NSGA-Ⅱ）was used to solve the multi-objective optimization model,and the effectiveness of optimization method was demonstrated by comparing the experimental data with optimization results.

关 键 词：硬态旋风铣削 工艺能耗 工艺性能 多目标优化 

分 类 号：TH16[机械工程—机械制造及自动化]