A Model for Milling Force Prediction in High-Speed End Milling of P20 Mold Steel

Abstract

This paper focuses on developing an empirical model for the prediction of milling forces in high-speed end milling of P20 die-mold steel. The spindle speed, feed rate, axial and radial depth of cut are considered as the affecting factors. The data for establishing the model are derived from high-speed end milling experiments conducted on a 5 axis machining center according to the principles of DOE (design of experiments) method. The influences of milling parameters on milling forces are investigated by analyzing the experimental curves. Consequently, multiple-regression analysis is applied in developing the empirical model. Furthermore, the significances of the regression equation and regression coefficients are statistically tested in this paper to validate the model.

Arc joining of aluminium alloy to stainless steel with the aid of milling

“…(3) shows the relationship between F, F x , F y and F z . J Zhao et al [29] was pointed that the maximum values of milling force will increase with a e increased. Esq.…”

The Model of Thermal Deformation Resistance for P20 Steel

“…Based on this situation, the curve of the deformation resistance at elevated temperature was determined by thermal simulation in this paper. After comparison of the present mathematics models, such as Inoue Kachiro model and Keisuke Misaka model and so on, the Guan Kezhi model widely used currently was adopted [4][5][6][7][8]. The model coefficients were obtained by non-linear regressing.…”