吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊2): 226-230.

• 论文 • 上一篇    下一篇

车辆钢板弹簧的多目标可靠性稳健优化设计

于繁华1,2, 刘仁云3   

  1. 1. 吉林大学 计算机科学与技术学院, 长春130012;
    2. 长春师范学院计算机科学与技术学院, 长春130032;
    3. 长春师范学院数学学院, 长春130032
  • 收稿日期:2010-06-22 出版日期:2011-09-30 发布日期:2011-09-30
  • 作者简介:于繁华(1970),男,教授。研究方向:机械可靠性设计。E-mail:ccsyyfh@163.com
  • 基金资助:

    吉林省自然科学基金项目(20101520);吉林省教育厅“十一五”科学技术研究项目(吉教科合字2010第149号)

Multi-objective reliability based on robust optimization design for vehicle leaf spring

YU Fan-hua1,2, LIU Ren-yun3   

  1. 1. College of computer Science and Technology, Jilin University, Changchun 130012, China;
    2. School of computer Science &|Technology, Changchun Normal University, Changchun 130032, China;
    3. College of Mathematics, Changchun Normal University, Changchun 130032, China
  • Received:2010-06-22 Online:2011-09-30 Published:2011-09-30

摘要:

为提高车辆钢板弹簧的安全性和稳健性,运用可靠性稳健优化设计理论和多目标思想,为车辆钢板弹簧建立一个可靠性稳健优化设计的高维多目标模型。为提高模型的求解精度,利用层次分析法选取粒子群算法中的全局极值和个体极值,提出了基于层次分析法的多目标粒子群算法。与传统方法相比,利用该算法进行可靠性稳健优化设计高维多目标模型求解,简便易行并能迅速准确地得到车辆钢板弹簧的可靠性稳健优化设计信息。

关键词: 机械设计, 可靠性稳健优化设计, 粒子群算法, 层次分析, 多目标优化

Abstract:

To improve the safety and robustness of vehicle leaf spring,a large-dimensional multi-objective model was given for vehicle leaf spring with the reliability robust optimization theory and multi-objective decision making methods.Further more,a multi-objective particle swarm algorithm based on Analytic Hierarchy Process(AHP) was proposed to improve solution accuracy of model.And the global best and personal best of particle swarm algorithm are selected by AHP theory.comparing with traditional methods,the proposed method for reliability robust optimization design with large-dimensional multi-objective model can obtain the information of vehicle leaf spring on reliability robust optimization design accurately and quickly.

Key words: mechanical design, reliability robust optimization design, particle swarm algorithm, analytic hierarchy process(AHP), multi-objective optimization

中图分类号: 

  • TH123


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