基于遗传算法的重型齿轮性能优化设计  

Performance Optimization Design of Heavy Gear based on Genetic Algorithm

作　　者：王应远 袁玉佳 费凌[1,2] WANG Ying-yuan;YUAN Yu-jia;FEI Ling(Laboratory of Intelligent Equipment and Electromechanical Power Integration Technology,Xihua University,Chendu 610039,Sichuan,China;School of Mechanical Engineering,Xihua University,Chengdu 610039,Sichuan,China)

机构地区：[1]西华大学智能装备与机电功率集成技术实验室,四川成都610039 [2]西华大学机械工程学院,四川成都610039

出　　处：《机械研究与应用》2025年第1期123-127,共5页Mechanical Research & Application

摘　　要：文章以某重型齿轮为研究对象进行有限元分析,并在此基础上对原设计齿轮进行遗传算法多目标优化,改善齿轮对变形及受力情况。结果表明重型齿轮主要失效区域为齿轮啮合部分,该部分往往是最大变形与最大受力位置。在进行多目标优化后,可减少变形量0.00016 m,降低应力值1622.544 MPa,减轻齿轮对体积488.9215 e ^(4)mm^(3),由此可知文章多目标优化方法对降低重型齿轮变形量、应力以及减轻体积效果较为显著。In this paper,a heavy gear is taken as the research object to carry on the finite element analysis,on this basis,the genetic algorithm multi-objective optimization to the original design gear is conducted so as to improve the gear pair deformation and the force condition.The results show that the main failure area of heavy gear is the meshing part of gear,which is often the position of maximum deformation and maximum force.After multi-objective optimization,the deformation can be reduced by 0.00016 m,the stress value can be reduced by 1622.544 MPa,and the gear pair volume can be reduced by 488.9215 e ^(4)mm^(3).It can be seen that the multi-objective optimization method is effective in reducing the deformation,stress and volume of heavy-duty gears.

关 键 词：重型齿轮 静态分析 瞬态分析 材料与遗传算法多目标优化 有限元 

分 类 号：TH122[机械工程—机械设计及理论]