摘要
钛合金薄壁件铣削过程中,铣削参数对铣削力、铣削温度及加工质量等有显著影响。为了通过优化铣削参数来得到较好的加工效果,利用ABAQUS软件建立了圆弧形钛合金薄壁件铣削过程有限元仿真模型,通过仿真结果得到了不同铣削参数下的应力场和温度场的变化情况;结合正交试验与多目标遗传算法对铣削参数进行优化求解;对优化后的铣削参数与经验铣削参数进行对比实验,结果显示,优化后铣削参数具有更好的切削效果。本文研究结果对钛合金薄壁件铣削参数的取值具有重要意义。
In the process of milling titanium alloy thin-walled parts,the milling parameters have a significant impact on the milling force,milling temperature and processing quality.In order to obtain better processing results by optimizing the milling parameters,firstly,ABAQUS is used to establish a finite element simulation model of milling process of the arc-shaped titanium alloy thin-walled parts,and the stress field and temperature field changes under different milling parameters are obtained through the simulation results.Secondly,the orthogonal experiment and multi-objective genetic algorithm are combined to optimize the milling parameters.Finally,the optimized milling parameters are compared with the empirical milling parameters.The results show that the optimized milling parameters have better cutting results.The research results in this paper are of great significance to the value of milling parameters of titanium alloy thin-walled parts.
作者
岳彩旭
胡德生
刘献礼
刘鑫
陈志涛
林智
Yue Caixu;Hu Desheng;Liu Xianli;Liu Xin;Chen Zhitao;Lin Zhi(School of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,China;不详)
出处
《工具技术》
北大核心
2021年第11期53-60,共8页
Tool Engineering
基金
国家重点研发计划项目(2019YFB1704800)
黑龙江省优秀青年基金(YQ2019E029)。
关键词
钛合金薄壁件
铣削过程
有限元仿真
铣削参数优化
遗传算法
titanium alloy thin-walled parts
milling process
finite element simulation
optimization of milling parameters
genetic algorithm
