Multi-Objective Optimization Design of Vehicle Clutch Diaphragm Spring
In allusion to the diaphragm spring of a certain type of freight car, based on multi-objective genetic algorithm, the design variables are selected optimally with design of experiment, and a multi-objective optimization model of diaphragm spring is built. On the basis of multidisciplinary optimization software iSIGHT, non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ ) based on Pareto optimal theory is employed to seek the optimal construction design scheme with the targets of the minimum difference of the diaphragm-spring press force between new and old work conditions of friction disk, the minimum average value of diaphragm-spring press force during the course of friction disks wearing out and the minimum manipulation power, and the optimal solution set of the problem is gained.
diaphragm spring Multi-Objective Optimization NSGA- Ⅱ
Wu Yong-hai
Department of Traffic Engineering Huaiyin Institute of Technology Huaian, China
国际会议
长沙
英文
2120-2123
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）