基于多岛遗传算法的高速轴承冠形保持架多目标优化

打开文本图片集

中图分类号：TH133 DOI：10.20042/j.cnki.1009-4903.2026.01.011

Multi-objective Optimization Of High-speed Bearing Crown Cage Based OnMulti-island Genetic Algorithm

Abstract：Toaddresstheisses ofdeformationandfractureprone incrown-shapedretainersforhigh-speedelectricdrivebearings， this paperconducts finite element simulationanalysis onthe stressanddeformationoftheretainerbyadjusting three structural parameters：therootthickness，beamwidthandweightreductiongrooveradius.Theoptimalotimizationrangesforeachparameter aredetermined.Amultibjectiveoptimizatioofthecage'sstructuralparameterswasperfomedusingamultisandgeneticalgorit， yielding the final optimized design. Simulation of the optimized structure demonstrated a 45.8% reduction in maximum stress，a 35.5% （204号 decrease in maximum deformation，and an 18.71% reduction in mass.

Keywords： High-speed bearing; Crown-shaped cage; Multi-objective optimization; Multi-island geneticalgorithm

0 引

近年来，国产新能源汽车发展迅猛，电机作为其关键组成部分之一，其性能与稳定性要求变得越发严苛，因此对电机核心部件一一高速轴承的要求也逐步提高。（剩余3396字）