A new optimal design method of glass fiber leaf spring

Abstract:
In order to meet the lightweight and performance requirements of glass fiber leaf spring of a light commercial vehicle, a multi-objective optimization design method based on new particle swarm optimization algorithm is proposed. Aiming at the problems of global extreme selection, global convergence and local search ability of standard multi-objective particle swarm optimization algorithm, the inertia weight factor is introduced to improve the standard particle swarm optimization algorithm, and the optimal election method and the comprehensive compromise election method based on linear weight discrimination are introduced to the objective function, which greatly improves its performance; finally, taking the relevant parameters of glass fiber leaf spring as the design variables and taking the strength, stiffness and quality of glass fiber leaf spring as the sub objectives, an optimization model is established to optimize the original design; finally, the effectiveness of the optimization method is verified by finite element simulation and sample test. The simulation and test results show that the optimized glass fiber leaf spring reduces the mass and meets the requirements of the whole vehicle for the stiffness and strength of the leaf spring.