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 optimizati...

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Bibliographic Details
Published in2009 Second International Conference on Intelligent Computation Technology and Automation Vol. 3; pp. 194 - 197
Main Author Wu Yong-hai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Algorithm design and analysis
Design automation
Design optimization
diaphragm spring
Friction
Genetic algorithms
Intelligent vehicles
Multi-Objective Optimization
NSGA-II
Pareto optimization
Robustness
Sorting
Springs
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Summary: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.
ISBN:0769538045
9780769538044
DOI:10.1109/ICICTA.2009.513