Multi-objective optimization design of multi-piece leaf springs based on Pareto

Author

Wu Yong-hai ; Fan Qin-man

Author_Institution

Fac. of Traffic Eng., Huaiyin Inst. of Technol., Huaiyin, China

fYear

2011

fDate

3-5 Aug. 2011

Firstpage

445

Lastpage

448

Abstract

In allusion to the multi-piece leaf springs of a truck, its standard multi-objective optimization model was established. Taking multidisciplinary optimization software iSIGHT as a platform, using the non-dominated Sorting Genetic Algorithm (NSGA-II) based on Pareto optimal concepts, seek for the optimal structural design scheme for multi-piece leaf springs of the minimum total quality and minimum relative stiffness is found, and the Pareto Optimal Solution set is obtained. The analysis method in the paper can effectively solve the problems of multi-parameter and multi-objective optimization for complex structures.

Keywords

Pareto optimisation; automotive components; design engineering; genetic algorithms; springs (mechanical); NSGA-II; Pareto optimal solution; iSIGHT software; multiobjective optimization design; multipiece leaf springs; nondominated sorting genetic algorithm; truck; Evolutionary computation; Genetic algorithms; Pareto optimization; Sorting; Springs; Stress; NSGA-II; Pareto optimal; leaf springs; multi-objective optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2011 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-9717-1

Type

conf

DOI

10.1109/ICCSE.2011.6028675

Filename

6028675