A new method for prediction of cutting force considering the influence of machine tool system and tool wear

Milling force can usually be predicted based on orthogonal cutting data by applying the classical oblique cutting transformation. However, the accuracy of the prediction is largely affected by the dynamic characteristics of the machine tool system and tool wear. This paper proposes a prediction method of cutting force considering the influence of machine tool system and tool wear to improve the accuracy of the conversion from orthogonal cutting to milling. First, the machine tool correction coefficients are used to introduce the influence of machine tool system into the orthogonal cutting force prediction model. Then, the influence of the tool wear is taken into account by defining the tool wear coefficients. Finally, the accuracy of the cutting force obtained by the proposed method is verified through experimental research. The results show that the prediction results are in good agreement with the experimental results.

Automated summary

This paper proposes a cutting force prediction method that takes into account the influence of the machine tool system and tool wear on milling force, thereby improving the accuracy of the prediction.