The Milling Surface Roughness Prediction Model And Parameter Optimization Research Of SLM Components

To meet the requirement that selective laser melting 316 L stainless steel components needs milling process to improve its surface quality,a mathematical model of surface roughness is founded based on orthogonal experiment to optimize the milling parameters,which gives a basis to choose appropriate milling parameters of selective laser melting 316 L stainless steel components,and the angle between the milling path and laser scanning path,as one of the surface roughness influencing factors,has been taken into account.Based on multiple linear regression analysis,milling parameter model was established.The significant tests of regression equation and regression coefficient are conducted and it is proved that the influence of the angle,the feed per tooth,milling speed and milling depth were significant,but in the significant F-measure,The angle is only about 1/8 times the feed per tooth?The prediction results of the model can provide the basis for the selection of milling parameters of the SLM complex structure in the actual production,and provide the theoretical basis for the hybrid manufacturing.Then,The model of quality and efficiency(surface roughness and material removal rate)in mixed manufacturing is established,respectively.In view of the advantages of NSGA-II in solving the uniform distribution and diversity of Pareto solution sets,So,NSGA-II is used to solve the multi-objective optimization model,and the method and process of solving are discussed in detail.In a certain constraint condition,the milling parameters of the SLM components should be kept in the following values: milling speed 20m/min,feed rate per tooth 0.01mm/z,milling depth 0.8mm,the angle between the milling path and the laser scanning path is ?/6.