Abstract
AbstractThe present work focuses on optimization of a helical coil compression spring made of ASTM A227 CLASS II and this type of springs are utilized in three wheelers. The main goal is to maximize natural frequency and strain energy absorption of the spring using a multi-objective optimization formulation. The performance of the spring may be enhanced by improving the capacity of strain energy absorption. The stiffness and geometric parameters of the spring has an impact on natural frequency and strain energy. Design parameters of a spring such as wire and mean coil diameter, number of active coils and pitch are optimized in this study. Pareto-optimal solutions are generated using Non-Dominated Sorting Genetic Algorithm-II and the results are verified using numerical approach. Modal and static analyses have been carried out for the selected designs generated by NSGA-II.KeywordsMulti-objective optimizationCoil springPareto-optimal solutionsNumerical model
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