OBRABOTKAMETALLOV Vol. 26 No. 1 2024 TECHNOLOGY a b Fig. 9. An example of temperature measurement for 8,000 rpm (a) and 10,000 rpm (b) with a Fluke Ti400 thermal imager Fig. 10. Experimental values of the cutting temperature physical properties of materials being processed, as well as experimental results on the study of the eff ect of deformation and strain rate on changes in the yield stress of materials during cutting. This model, as a fi rst approximation, allows predicting the temperature values for a fairly wide range of milling parameters. In our case, the cutting speed varied from 251.2 to 562.2 m/min, and the rotation speed varied from 8,000 to 18,000 rpm. The proposed solution for predicting the cutting temperature makes it possible at production fi eld, without using time-consuming and expensive temperature measurement methods, theoretically calculate the temperature value using a computer and MS Excel software environment. Conclusions The evaluation of the results allowed us to draw the following conclusions: 1. Theoretical dependences are derived that allow calculating the temperature in the cutting zone during high-speed milling of aluminum alloy workpieces. 2. Experimental studies are carried out to determine the cutting temperature at the specifi ed milling parameters. 3. Experimental data on measuring cutting temperatures are in satisfactory agreement with the proposed method of theoretical calculation of temperatures. The ratio error in comparing experimental data with theoretical data is 6.05 %.
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