Multi-objective Optimization Design of Automobile Suspension Helical Spring

Author

Qin-Man, Fan ; Yong-hai, Wu ; Kun, Luan ; Feng, Wang

Author_Institution

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

Volume

1

fYear

2010

fDate

4-6 June 2010

Firstpage

219

Lastpage

222

Abstract

The quality of suspension helical spring is very important to the stationarity and safety of automobile. Taking the automobile suspension helical spring as the research object, by using Pareto optimization theory and particle swarm optimization algorithm, the paper establishes a multi-objective optimization model of automobile suspension helical spring which is based on the Matlab optimization design platform. The purpose is to seek for the optimal structure design proposal which is under the objective of maximum natural frequency and minimum quality of spring. The Pareto optimal solution set is obtained.

Keywords

Pareto optimisation; automotive components; automotive engineering; design engineering; mathematics computing; particle swarm optimisation; safety; springs (mechanical); suspensions (mechanical components); Matlab optimization design platform; Pareto optimization theory; automobile safety; automobile stationarity; automobile suspension helical spring; multiobjective optimization design; optimal structure design; particle swarm optimization algorithm; Algorithm design and analysis; Automobiles; Design optimization; Frequency; Mathematical model; Pareto optimization; Particle swarm optimization; Proposals; Springs; Vehicle safety; multi-objective optimization; particle swarm optimization(PSO); suspension spring;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.62

Filename

5514196