Prediction model for surface roughness of P20 mold steel
Abstrat:To improve the surface quality and machining efficiency of high-speed milling P20 mold steel,the cutting parameters affecting the roughness were selected as the experimental factors for orthogonal experi-ments,and the influence trend of feed rateƒ,cutting speed v and cutting depth ap on the surface roughness was determined.Based on the test results of milling P20 mold steel with TiAlN coated tools,a multivariate linear re-gression mathematical model of surface roughness is established,and the regression equation and regression co-efficient are explicitly tested.Compared with the experimental data,the average error rate of roughness is 3.3%,which has high credibility.The results show that the model can provide data and theoretical support for high-speed,efficient and dry cutting of P20 mold steel,and has important practical application value and theo-retical significance.
P20 mold steelsurface roughnessorthogonal experimentmultiple linear regression
NETL
NSTL
万方数据
