计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第4): 894-904.DOI: 10.13196/j.cims.2018.04.009

• 当期目次 • 上一篇    下一篇

丝杠硬态旋铣工艺的多目标参数优化

何彦1,余平甲1,王乐祥1,李育锋1,王禹林2   

  1. 1.重庆大学机械传动国家重点试验室
    2.南京理工大学机械工程学院
  • 出版日期:2018-04-30 发布日期:2018-04-30
  • 基金资助:
    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)。

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

  • Online:2018-04-30 Published:2018-04-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51575072),the Chongqing Research Program of Basic Research and Frontier Technology,China(No.cstc2015jcyjBX0088,cstc2013jcycA70014),the Jiangsu Provincial “Six Talent Peaks” Program,China(No.2014-ZBZZ-006),and the “Excellence Plans-Zijin Star” Foundation of Nanjing University of Science and Technology,China(No.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。

关键词: 硬态旋风铣削, 工艺能耗, 工艺性能, 多目标优化

Abstract: 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.

Key words: hard whirlwind milling, machining energy, machining performance, multi-objective optimization problem

中图分类号: