Title :
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
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;
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
DOI :
10.1109/ICIC.2010.62
