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http://dx.doi.org/10.7734/COSEIK.2018.31.5.243

Optimal Methodology of a Composite Leaf Spring with a Multipurpose Small Commercial Vans  

Ahn, Sang Ho (Department of Mechanical & Automotive Engineering, Shinhan University)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.31, no.5, 2018 , pp. 243-250 More about this Journal
Abstract
In this paper, design technique using genetic algorithms(GA) for design optimization of composite leaf springs is presented here. After the initial design has been validated by the car plate spring as a finite element model, the genetic algorithm suggests the process of optimizing the number of layers of composite materials and their angles. Through optimization process, the weight reduction process of leaf springs and the number of repetitions are compared to the existing algorithm results. The safety margin is calculated by organizing a finite element model to verify the integrity of the structure by applying an additive sequence optimized through the genetic algorithm to the structure. When GA is applied, layer thickness and layer angle of complex leaf springs have been obtained, which contributes to the achievement of minimum weight with appropriate strength and stiffness. A reduction of 65.6% original weight is reached when a leaf steel spring is replaced with a leaf composite spring under identical requirement of design parameters and optimization.
Keywords
optimum design; genetic algorithm; composite material; leaf spring; automobiles;
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