现代制造工程Issue(7)：100-108,9.DOI:10.16731/j.cnki.1671-3133.2024.07.013
基于RSM和MOPSO的轴承沟道磨削工艺参数优化
Optimization of bearing raceway grinding process parameters based on RSM and MOPSO
摘要
Abstract
The response relationship between process parameters and machining quality of inner raceway precision grinding of an-gular contact ball bearings was explored,and the optimal process parameter set to improve raceway machining quality was identit-ying.Response Surface Methodology(RSM)and Multi-Objective Particle Swarm Optimization(MOPSO)algorithm were used to optimize the grinding depth,grinding wheel speed,and workpiece speed that affect raceway machining quality.First,the RSM was used to establish a significant non-degenerate model with the surface roughness and roundness error as responses.Then,vari-ance analysis and surface plots were used to study the interactive effects of process parameters on the responses.Finally,the MOPSO algorithm was applied for optimizing the model,and K-means clustering method was used to solve the compromised solu-tion of the optimal solution set,and experimental validation was conducted.The results showed that grinding depth and grinding wheel linear speed had highly significant effect on the surface roughness and roundness error of the raceways,and workpiece speed had highly significant effect on the roundness error and a significant effect on the surface roughness.The interaction be-tween grinding depth and workpiece speed had a significant effect on the surface roughness,and the interaction of grinding wheel linear speed with workpiece speed and grinding depth had a significant effect on the roundness error.The optimized parameter set was verified by experiments,and the surface roughness and roundness error were reduced by 8.14％and 16.03％,respectively,compared to preoptimization.The regression model based on RSM and MOPSO algorithm is significant for the whole and individu-al variables,and has high prediction accuracy,and the optimized process parameter set can obtain good optimization results.关键词
角接触球轴承/响应面法/多目标粒子群优化算法/沟道磨削/参数优化Key words
angular contact ball bearing/Response Surface Methodology(RSM)/Multi-Objective Particle Swarm Optimization(MOPSO)algorithm/raceway grinding/parameter optimization分类
矿业与冶金引用本文复制引用
蒋心想,李成,时建纬,陈栋..基于RSM和MOPSO的轴承沟道磨削工艺参数优化[J].现代制造工程,2024,(7):100-108,9.基金项目
国家自然科学基金项目(12302106) （12302106）
河南省水下智能装备重点实验室开放基金项目(ZT22064U) （ZT22064U）
