基于遗传算法的汽车变速箱轻量化设计  

Lightweight optimization design for gear box based on GA

作　　者：褚永康[1] 文桂林[1] 崔中[1] 文登[1] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082

出　　处：《合肥工业大学学报（自然科学版）》2011年第10期1461-1465,共5页Journal of Hefei University of Technology：Natural Science

基　　金：教育部长江学者与创新团队发展计划资助项目(531105050037);湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(60870003)

摘　　要：文章利用近似模型方法和遗传算法对某变速箱进行轻量化设计。在满足变速箱刚度强度及振动模态要求的基础上,采用拉丁方法进行试验设计,基于高斯径向基函数建立近似模型,最后利用遗传算法进行全局寻优设计。优化后箱体质量降低了21%。结果表明,该方法对汽车变速箱结构轻量化设计具有一定的指导意义。A method of lightweight optimization design for a gear box is proposed based on the approxi- mation model and genetic algorithm（GA）. The premise of lightweight optimization is to ensure the performance requirements, such as strength, stiffness and vibration resistance. The Latin method is used in the experimental design to generate test sample points, and the approximation model is built based on the Gaussian radial basis function. The global optimization design is also performed based on the GA. The mass of the optimized box is reduced by 21%. The results show that this method can provide certain engineering guidance for the lightweight optimization of gear box.

关 键 词：变速箱箱体 轻量化 近似模型 遗传算法 

分 类 号：U463.212[机械工程—车辆工程]