Abstract
The aim of this study is to develop a milling force predicting model which is based on the relation between surface roughness and cutting force resulting from surface milling. Based on the analysis of the available models, the roughness model which has more advantages than others is selected. The newly proposed milling force model is developed based on the roughness model. Eight influential parameters are included in the model such as cutting edge radius, feed rate, side cutting edge angle, end cutting edge angle, radial depth of cut, axial depth of cut, tool diameters and number of cutting edge. Experimental tests by milling C45 steels are conducted to validate the predicted results as well as the realiability of the model. The results show that the maximum percentage errors between prediction and experiments is an average of 16.7%.
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This work was supported by Thai Nguyen University of Technology.
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Trung, D.D. et al. (2021). A Study on Prediction of Milling Forces. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_11
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