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EN
The magnitude of the cutting force, which occurs during the face milling process, depends on many factors such as the cutting depth, the velocity of accessory motion, the number of revolutions of the main spindle, the feed rate, type of material of the cutting tool and the machined part etc. Anyway, calculating this force is not a simple problem and that is the reason why, in some cases, it is expedient to use empirical forms or interpolation formulas obtained by processing of measuring results in laboratory conditions. In order to calculate cutting force, the results have been processed in two ways: using a multifactorial experiment and using artificial neural networks. Results of this work show that an artificial neural network can be very useful in the cutting force prediction.
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