Prediction of Surface Roughness and Optimization of Process Parameters for Efficient Milling of Cover Plate Parts
In order to ensure the surface quality of 7075 aluminum alloy and improve milling efficiency of cover plate parts during milling,a set of process parameters optimization,a prediction model for milling surface roughness are construc-ted by response surface method(RSM),and the influence of milling process parameters on surface roughness is analyzed.On the basis of a surface roughness prediction model,an efficient milling process parameter optimization objective equation is established.An improved particle swarm optimization(PSO)algorithm is used to optimize the objective equation,and a set of optimized process parameters are used to milling a certain cover plate.The experimental results show that the opti-mized set of efficient milling process parameters can meet the surface roughness requirements for cover plate machining,verifying the accuracy of the prediction model and the feasibility of improving the PSO method.
万方数据
维普
