Forging Links Numerical Simulation And Optimization Of Process Parameters

With the rapid development of automobile industry, the demand of automobile links were also growing, correspondingly the forging links have been put forward to higher requirements. In this paper, the links forging were studied, mainly from mold design, forming simulation, the impact of process parameters and parameters optimization.The forming process of connecting rod was designed, firstly the connecting rod blank was designed, then designed the roller forgings and the forging dies in each pass. The pre-forged connecting rod was designed, the die cavity dimensions and structures of pre-forged and final link was selected, ultimately the desired molds have been designed. The DEFORM-3D software was used to simulated the forging process, analyze the impacts of different heights in crush forming, and determined the optimal height.In forging the connecting rod, analyze the load, equivalent stress and strain variation under different process parameters. Archard wear model was selected to compare the wear depth under different process parameters. By orthogonal method, established orthogonal of blank temperature, mold temperature and friction coefficient, chose deformation uniformity, forgings damage and mold wear as evaluation indexes, selected appropriate weighting coefficients, got the optimal combination of process parameters ultimately. Then, based on the orthogonal experiment results, the BP neural network was built. The genetic algorithm was used to optimize the parameters, and finally obtained the global optimum solution.Metal-plastic finite element simulation technology, orthogonal experiment method, neural network and genetic algorithm were used in this article to design the link forming process, improved the quality and die wear in forgings rod, shorten development cycle, and established a theoretical foundation for producing quality forging rod.