Surface Roughness Analysis and Parameter Optimization of Mold Steel Milling

In this paper, aiming at the characteristics of large mold and complex surface of automobile cover mold, the mold processing of cover is analyzed, especially the mold surface quality. Roughness prediction is an important concept in the field of machining and manufacture,especially for automobile cover mold manufacturing industry, not only to improve its quality of product, reduce wear and tear, but also to enhance its mechanical strength. This article includes the following experimental content. The prediction model includes the definition of boundary conditions and the mathematical model of regression analysis. The experimental results and predicted values were compared on the basis of the experiment by way of range method, analysis of variance and other methods to find the optimal milling conditions. With the mathematical model used for the objective function and the milling parameters used for independent variables, NSGA-II algorithm is introduced to obtain multi-objective function optimization. The relationship between milling parameters and surface roughness is studied to determine the effect of different parameters on the machined surface quality. By the system the time of practical production is saved and the processing efficiency is improved. After the key technologies of surface roughness prediction based on high speed milling and milling parameter optimization studied, the consumption of the resources in the process of actual production is reduced.