Robust Design Optimization Research For Cold Extrusion Die And Process Parameters Of Wheel Bearing Inner Ring

Cold extrusion is put the metal billet into to the die at room temperature, and the billet formed under stress by press machine, it forms billet into required shape part. Compared with the traditional processing methods it can improve the utilization of raw materials and productivity, reduce energy consumption, and improve performance and service life of mechanical parts.Cold extrusion die suffered hard pressure, the thermal effects of the extrusion process, friction. It leading to premature cold damaged or scrapped of cold extrusion dies, so that the life of the cold extrusion die is difficult to be guaranteed. The life of the cold extrusion dies as a constraint to the development of cold extrusion technology and the bottleneck, how to reduce the wear of cold die is a hot research field.A lot of the relevant factors impact dies wear. To reduce die wear, then need for analysis of these related factors, and reduce the influence of them, to get the best results. The wear testing of cold extrusion die need high cost and take long time, and it still exists difficult on realization. It also can using CAE method for simulate, but it also need take long time. It requires a combination of experimental of design for design good experiment, and get the best result via robust design optimization.In this paper, automobile wheel bearing inner ring is the subject for discussion. We setup the wheel bearing inner ring of the cold extrusion simplified model using SolidWorks, then export to CAE software: DEFORM. After input the simulation parameters, we start the simulation analysis, and finally the numerical simulation results carried out with the taguchi methods, response surface methods robust design and multiple regression, to find the effect of the key factors of cold extrusion, then take the robust design optimize and get the best parameters. Finally, the results were verified by CAE.