Journal of Machine Engineering > 2023 > Vol. 23, No. 4 > 18--32
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journal ISSN : | 1895-7595 |
journal e-ISSN : | 2391-8071 |
DOI | 10.36897/jme/174018 |
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Bibliography
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[1] BUDAK E., ALTINTAS Y., ARMAREGO E.J.A., 1996, Prediction of Milling Force Coefficients from Orthogonal Cutting Data, J. Manuf. Sci. Eng., 118/2, 216–224, https://doi.org/10.1115/1.2831014.
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[2] BALAZINSKI M., CZOGALA E., JEMIELNIAK K., LESKI J., 2002, Tool Condition Monitoring Using Artificial Intelligence Methods, Eng. Appl. Artif. Intell., 15, 73–80.
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[3] ELBESTAWI M.A., PAPAZAFIRIOU T.A., DU R.X., 1991, In-Process Monitoring of Tool Wear in Milling Using Cutting Force Signature, Int. J. Mach. Tools Manuf., 31, 55–73.