Title :
Multi-Objective Optimization Design of Vehicle Clutch Diaphragm Spring
Author_Institution :
Dept. of Traffic Eng., Huaiyin Inst. of Technol., Huaiyin, China
Abstract :
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.
Keywords :
Pareto optimisation; automotive components; clutches; diaphragms; friction; genetic algorithms; mechanical engineering computing; road vehicles; springs (mechanical); vehicle dynamics; NSGA- II; Pareto optimal theory; freight car; friction disk; iSIGHT; multidisciplinary optimization software; multiobjective genetic algorithm; multiobjective optimization; nondominated sorting genetic algorithm; vehicle clutch diaphragm spring; Algorithm design and analysis; Design automation; Design optimization; Friction; Genetic algorithms; Intelligent vehicles; Pareto optimization; Robustness; Sorting; Springs; Multi-Objective Optimization; NSGA-II; diaphragm spring;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.513