Manufacturing Technology 2016, 16(3):524-531 | DOI: 10.21062/ujep/x.2016/a/1213-2489/MT/16/3/524

Cutting Force Modelling with a Combined Influence of Tool Wear and Tool Geometry

Petr Kolar, Matej Sulitka, Petr Fojtù, Jiøí Falta, Jaroslav ©indler
Research Center of Manufacturing Technology, Faculty of Mechanical Engineering, Czech Technical University in Prague. Horska 3, 128 00 Prague. Czech Republic

Modelling of cutting forces is important for understanding and simulation of the machining processes. This paper presents cutting force modelling of data obtained from machining of C45 carbon steel with a coated carbide tool. The model is based on a rather extensive measurement of 270 combinations of cutting tool geometry parameters (rake angle, clearance angle and helix angle), tool wear (flank wear average value), chip thickness and cutting velocity. The model with the friction and cutting component of the cutting force is presented and discussed. We conducted an analysis of the identified model and found a relationship between the increase in tangential and radial cutting forces and tool wear. We concluded that flank wear influences the cutting force acting on the worn tool more significantly than cutting tool geometry. This is caused by changes in cutting edge geometry and the resultant significant increase in the friction component of the cutting force as is shown using the identified model.

Keywords: Cutting Forces, Cutting Force Modelling, Flank Wear, Milling

Published: June 1, 2016  Show citation

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Kolar P, Sulitka M, Fojtù P, Falta J, ©indler J. Cutting Force Modelling with a Combined Influence of Tool Wear and Tool Geometry. Manufacturing Technology. 2016;16(3):524-531. doi: 10.21062/ujep/x.2016/a/1213-2489/MT/16/3/524.
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    References

    1. MARTELLOTTI, M.E. (1941). An analysis of the milling process. In: Transactions of ASME, Vol. 63, pp. 677. Go to original source...
    2. MARTELLOTTI, M.E. (1945). An analysis of the milling process II. Down milling. In: Transactions of ASME, Vol. 67, pp. 233. Go to original source...
    3. KIENZLE, O. (1952). Die Bestimmung von Kräften und Leistungen an spanenden Werkzeugen und Werkzeugmaschinen. In: Zeitschrift des Vereins deutscher Ingenieure, pp. 657-662.
    4. SABBERWAL, A.J.P. (1962). Cutting forces in down milling. In: International Journal of Machine Tool Design and Research, Vol. 2, pp. 27-41. Go to original source...
    5. FU, H.J., DEVOR, R.E., KAPOOR, S.G. (1984). A mechanistic model for the prediction of the force system in face milling operations. In: Journal of Manufacturing Science and Engineering, Vol. 106, No. 1, pp. 81-88. Go to original source...
    6. SPIEWAK, S. (1995). An improved model of the chip thickness in milling. In: Annals of the CIRP, Vol. 44, No. 1, pp. 39-42. Go to original source...
    7. EHMANN, K.F., KAPOOR, S.G., DEVOR, R.E., LAZOGLU, I. (1997). Machining process modeling: a review. In: Transactions of ASME, Journal of Manufacturing Science and Engineering, Vol. 119, No. 4B, pp. 655-663. Go to original source...
    8. BUDAK, E., ALTINTAS, Y., ARMAREGO, E. (1996). Prediction of milling force coefficients from orthogonal cutting data. In: Journal of Manufacturing Science and Engineering, Vol. 118, No. 2, pp. 216-224. Go to original source...
    9. ALTINTAS, Y. (2000). Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge University Press, ISBN 0-521-65973-6.
    10. LEE, P., ALTINTAS, Y. (1996). Prediction of ball-end milling forces from orthogonal cutting data. In: International Journal of Machine Tools & Manufacture, Vol. 36, No. 9, pp. 1059-1072. Go to original source...
    11. FENG, H.Y., SU, N. (2001). A mechanistic cutting force model for 3d ball-end milling. In: Journal of Manufacturing Science and Engineering, Vol. 123, No. 1, pp. 23-29. Go to original source...
    12. GAO, G., WU, B., ZHANG, D., LUO, M. (2013). Mechanistic identification of cutting force coefficients in bull-nose milling process. In: Chinese Journal of Aeronautics, Vol. 26, No. 3, pp. 823-830. Go to original source...
    13. ALTINTAS, Y., LEE, P. (1996). A general mechanics and dynamics model for helical end mills. In: Annals of the CIRP, Vol. 45, No. 1, pp. 59-64. Go to original source...
    14. GRADISEK, J., KALVERAM, M. (2004). Mechanistic identification of specific force coefficients for a general end mill. In: International Journal of Machine Tools & Manufacture, Vol. 44, No. 4, pp. 404-14. Go to original source...
    15. KAYMAKCI, M., KILIC, Z.M., ALTINTAS, Y. (2012). Unified cutting force model for turning, boring, drilling and milling operations. In: International Journal of Machine Tools & Manufacture, Vol. 54-55, pp. 34-45. Go to original source...
    16. ORABY, S.E., HAYHURST, D.R. (1991). Development of models for tool wear force relationships in metal cutting. In: International Journal of Mechanical Sciences, Vol. 33, No. 2, pp. 125-138. Go to original source...
    17. TEITENBERG, T.M., BAYOUMI, A.E., YUCESAN, G. (1992). Tool wear modeling through an analytic mechanistic model of milling processes. In: Wear, Vol. 154, No. 2, pp. 287-304. Go to original source...
    18. LIN, S.C., YANG, R.J. (1995). Force-based model for tool wear monitoring in face milling. In: International Journal of Machine Tools and Manufacture, Vol. 35, No. 9, pp. 1201-1211. Go to original source...
    19. LIN, S.C., LIN, R.J. (1996). Tool wear monitoring in face milling using force signals. In: Wear, Vol. 198, pp. 136-142. Go to original source...
    20. LIN, M., LUCAS, H.C., SHMUELI, G. (2013). Too Big to Fail: Larger Samples and False Discoveries. In: Robert H. Smith School Research Paper, No. RHS 06-068, pp. 1-12. http://dx.doi.org/10.2139/ssrn.1336700 Go to original source...

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