The Multi-Objective Optimization Design of Leaf Spring of Few Piece Variable Cross-Section

摘要：

Being the ability of global optimization, MOPSO algorithm have some virtue such as high calculate velocity, good solution quality, great robustness, and so on. In allusion to a leaf spring of few piece variable cross-section, its multi-objective optimization mathematical model was built regarding minimum mass and minimum stiffness deviation as subobjective functions. Taking the leaf spring of front suspension of a light truck as an example, the Pareto optimal solution set of optimization problem was obtained by using MOPSO algorithm. The optimization results show that the mass of the leaf spring reduced by 24.2％ and the stiffness deviation is only 0.32％ after optimization by using MOPSO algorithm.

关键词： leaf spring optimization design multi-objective PSO

作者: Wu Yong-hai Fan Qin-man F

作者单位: Faculty of Traffic Engineering, Huaiyin Institute of Technology, Huaian, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Material Research(ICAMR 2011)(2011年先进材料研究国际会议)

会议地点: 重庆

会议语种:英文

页码: 231-235

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）