Experimental study of the dynamics of the machining process by ball-end mills

OBRABOTKAMETALLOV technology Vol. 25 No. 1 2023 a b Fig. 9. Dependences of the roughness Rz on the feed and the angle of inclination of the tool: a – theoretical; b – experimental With a confidence coefficient P = 0.95, the calculated value of the Fisher criterion Fcalc is less than the tabular value Ftabl, respectively, the hypothesis of an adequate representation of the regression model (1) is accepted. The analysis of theoretical and experimental data on the relationship between the parameters of roughness, feed per tooth and the angle of inclination shown in Fig. 9 indicates minor differences in data presentation. At the same time, the shape of the experimental dependence differs from the theoretically calculated one by equation (1) by no more than 10 %. Conclusions Experimental data obtained during machining made it possible to determine that an increase in the angle of inclination of a single-edge cutting tool has practically no effect on the change in the amplitude parameters of roughness. The values of VA diagnostics and roughness when using a double-edge ball-end tool show a consistent picture with the effects created by the angles of inclination and advance. At the same time, at a cutting frequency of 50 Hz, the vibration displacement magnitude for an angle of inclination 25° is, on average, 2 times greater than at 10° and 40°. Roughness amplitude parameters Ra, Rq, Rt, Rp show a high degree of correlation with the Rz parameter. Due to the non-linear relationship between the Rz value, feed fz, tool inclination angle γ and tool diameter D, a regression model is developed that allows predicting the roughness of the machined surface. The obtained solutions to the problems of monitoring and analyzing the roughness parameters can significantly reduce the amount of experimental research and clarify the idea of the practical implementation of the acoustic method for controlling the cutting process in real time. References 1. Anstev A.V., Ngon D.T., Trong D.H., Yanov E.S. Influence of vibration amplitude on tool wear during ball end milling of hardened steel. 2018 4th International Conference on Green Technology and Sustainable Development. IEEE, 2018, pp. 232–236. DOI: 10.1109/GTSD.2018.8595567.

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