Optimizing Design of Spring Using Genetic Algorithm
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 2
Abstract
This paper deals with the elaborate design optimization technique of coil spring sets with genetic algorithm. Attention is focused on reducing the weight and stresses keeping into considerations the various critical points. The spring is designed to operate with tension load, so the spring stretches as the load is applied to it. The aim of the present work is to design the extension spring for various material like steel, stainless steel, music wire (High carbon steel), oil Tempered (High carbon steel) for same loading condition, since each material has different compositions and properties. Optimization of spring helps in selecting most appropriate and cost effective material for spring. On applying the GA, the optimum parameter of spring have been obtained, which contribute towards achieving the minimum weight. A reduction of 7% weight is achieved when stainless steel spring is replaced with other spring stated here, under identical condition of design parameters and optimization. Paper also discuss about the application and problem formulation using genetic algorithm which is one of nontraditional methods.
Authors and Affiliations
Atish B. Dighewar
Keywords
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- EP ID EP143259
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