The optimal design and simulation of helical spring based on particle swarm algorithm and MATLAB

TL;DRAbstract

Optimal problem is often met in engineering practice. The method to solve complex optimal problem is always studied by people. Springs are important mechanical members which are often used in machines to exert force, to provide flexibility, and to store or absorb energy. Helical spring is the most popular type of springs. The method of helical spring optimization is a typical one which can be used to solving other mechanical optimal design problem. Particle Swarm Optimization algorithm is a good method in solving optimal problem. MATLAB is a high-performance language for technical computing and is an easy tool for us to simulate the optimization. In this paper, we mainly introduce the optimization of helical spring based on particle swarm algorithms and simulation in MATLAB. Directed by the theory of Particle Swarm Optimization algorithm, with the minimum weight of helical spring as objective function, with d, D2 and n as design variables, with shear stress, maximum axial deflection, c

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