首页 | 本学科首页   官方微博 | 高级检索  
     

基于多目标遗传算法的齿轮传动优化
引用本文:李伟平,马义超,周惠,张利轩.基于多目标遗传算法的齿轮传动优化[J].机械科学与技术(西安),2013,32(1):47-50.
作者姓名:李伟平  马义超  周惠  张利轩
作者单位:1. 湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
2. 株洲南方航空高级技工学校,株洲,412002
基金项目:国家高技术研究发展计划(863计划)项目(2012AA111802);教育部长江学者与创新团队发展计划项目(531105050037)资助
摘    要:针对某牵引机车齿轮常出现齿面胶合、点蚀等问题,采用遗传算法,以重合度,齿面接触应力和齿根弯曲应力为优化目标,对齿轮的啮合参数进行了优化。为节省计算成本,在齿轮参数化有限元模型仿真计算的基础上,建立了齿面接触应力和齿根弯曲应力的代理模型。结果表明:遗传算法在多维区域内能快速有效的搜索Pareto解集,实现多目标的优化。以优化的结果对齿轮进行重新设计后,经有限元仿真验证,轮齿齿面接触应力及齿根弯曲应力均得到有效降低。

关 键 词:多目标遗传算法  齿轮优化  近似模型

Multi-objective Optimization of Gear Transmission Using Genetic Algorithm
Li Weiping,Ma Yichao,Zhou Hui,Zhang Lixuan.Multi-objective Optimization of Gear Transmission Using Genetic Algorithm[J].Mechanical Science and Technology,2013,32(1):47-50.
Authors:Li Weiping  Ma Yichao  Zhou Hui  Zhang Lixuan
Affiliation:1(1 State Key Laboratory of Advanced Designed Design and Manufacture for Vehicle Body of Hunan University,Hunan 410082; 2 Zhuzhou Southern Airlines Senior Technical School,Zhuzhou 412002)
Abstract:Based on the fact that some traction engine gears often have tooth surface veneer and pitting problems,the gear contact parameters including the contact ratio,tooth contact stress and tooth root bending stress were optimized by using the multi-objective genetic algorithm,then optimized the gear contact parameters.In order to save calculation costs,surrogate model of contact stress and root bending stress were established based on simulations of gears parameterized finite element model.The result shows that the genetic algorithm can search pareto solution sets fast and effectively in many dimensions regional,and realizes the multi-objective optimization.Using the optimized parameters,the von mises stress by finite element software were simulated,and the stress of optimized gear can be effectively decreased.
Keywords:multi-objective genetic algorithm  gear optimization  surrogate model
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号