Optimization of Process Parameters for Warm Extrusion of Connecting Rod Bushing Based on Particle Swarm Optimization

Abstract

Before the strong spinning of the connecting rod bushing, the billet needs to be subjected to warm extrusion treatment. Excessive damage to the billet during the warm extrusion process will not be conducive to the strong spinning. Aiming at this problem, an optimization model of the process parameters of connecting rod bushing warm extrusion was designed. In this paper, friction coefficient and extrusion speed are used as the input of the network, and the damage value of the blank after warm extrusion is used as the output. The required data is simulated by DEFORM-3D software and orthogonal experiment, and the non-linear relationship of the RBF neural network between the warm extrusion process parameters (friction coefficient, extrusion speed) and the damage value of the blank after extrusion was established. Taking this nonlinear relationship as a fitness function, an optimization model between process parameters (friction coefficient, extrusion speed) and the damage value of the blank after extrusion was established based on the particle swarm algorithm. The optimal process parameters for warm extrusion of connecting rod bushing blank were obtained, and the feasibility of the optimal solution was verified through experimental analysis, which can provide a path for the optimization of the process parameters of connecting rod bushing warm extrusion.