The Multi-Objective Optimization Design of Leaf Spring of few Piece Variable Cross-Section

Abstract:

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Being the ability of global optimization, MOPSO algorithm have some virtue such as high calculate velocity, good solution quality, great robustness, and so on. In allusion to a leaf spring of few piece variable cross-section, its multi-objective optimization mathematical model was built regarding minimum mass and minimum stiffness deviation as sub-objective functions. Taking the leaf spring of front suspension of a light truck as an example, the Pareto optimal solution set of optimization problem was obtained by using MOPSO algorithm. The optimization results show that the mass of the leaf spring reduced by 24.2% and the stiffness deviation is only 0.32% after optimization by using MOPSO algorithm.

Info:

Periodical:

Edited by:

Zhang Yushu

Pages:

231-235

DOI:

10.4028/www.scientific.net/AMR.213.231

Citation:

Q. M. Fan and Q. M. Fan, "The Multi-Objective Optimization Design of Leaf Spring of few Piece Variable Cross-Section", Advanced Materials Research, Vol. 213, pp. 231-235, 2011

Online since:

February 2011

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Price:

$35.00

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