Multi-objective optimization of grinding process parameters for improving gear machining precision  

改善齿轮加工精度的多目标磨削工艺参数优化

作　　者：YOU Tong-fei HAN Jiang TIAN Xiao-qing TANG Jian-ping LU Yi-guo LI Guang-hui XIA Lian 游通飞;韩江;田晓青;唐建平;陆义国;李光辉;夏链

机构地区：[1]School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,China [2]Anhui Engineering Laboratory of Intelligent CNC Technology and Equipment,Hefei 230009,China

出　　处：《Journal of Central South University》2025年第2期538-551,共14页中南大学学报(英文版)

基　　金：Projects(U22B2084,52275483,52075142)supported by the National Natural Science Foundation of China;Project(2023ZY01050)supported by the Ministry of Industry and Information Technology High Quality Development,China。

摘　　要：The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can cause changes in cutting force/heat,resulting in affecting gear machining precision.Therefore,this paper studies the effect of different process parameters on gear machining precision.A multi-objective optimization model is established for the relationship between process parameters and tooth surface deviations,tooth profile deviations,and tooth lead deviations through the cutting speed,feed rate,and cutting depth of the worm wheel gear grinding machine.The response surface method(RSM)is used for experimental design,and the corresponding experimental results and optimal process parameters are obtained.Subsequently,gray relational analysis-principal component analysis(GRA-PCA),particle swarm optimization(PSO),and genetic algorithm-particle swarm optimization(GA-PSO)methods are used to analyze the experimental results and obtain different optimal process parameters.The results show that optimal process parameters obtained by the GRA-PCA,PSO,and GA-PSO methods improve the gear machining precision.Moreover,the gear machining precision obtained by GA-PSO is superior to other methods.新能源汽车齿轮需要承受更高的转速和更大的载荷,这对齿轮制造提出了更高的精度要求。然而,加工工艺参数会引起切削力/热的变化,从而影响齿轮的加工精度。因此,本文研究了不同工艺参数对齿轮加工精度的影响。通过蜗杆砂轮磨齿机的切削速度、进给速度和切削深度,建立了工艺参数与齿面偏差、齿廓偏差、齿向偏差之间的多目标优化模型。采用响应面法(RSM)进行实验设计,得到了相应的实验结果和最优工艺参数。随后,采用灰色关联分析-主成分分析(GRA-PCA)、粒子群优化(PSO)和遗传算法-粒子群优化(GA-PSO)方法对实验结果进行分析,得到不同的最优工艺参数。实验验证表明,采用GRA-PCA、PSO和GA-PSO方法得到的最优工艺参数提高了齿轮加工精度。此外,GAPSO获得的齿轮加工精度为齿面偏差0.7325 mm、齿廓偏差6.0μm和齿向偏差6.1μm,这些均优于其他方法的。

关 键 词：worm wheel gear grinding machine gear machining precision machining process parameters multi objective optimization 

分 类 号：TH132.41[机械工程—机械制造及自动化]