Abstract
In manufacturing, plunge milling is one of the most effective methods and widely used for material removal in rough and semi-rough machining while machining hard material. The cutting force in milling is very difficult and complex to predict, especially in plunge milling since there are many parameters acting as the design variables in the cutting force formulation. In this paper, an empirical formula is used for reference and a new cutting force model is developed in plunge milling of Inconel 718. The coefficients in the new formula are calibrated by the plunge milling cutting test, then an experiment is designed to confirm the new model. By using the proposed model, it’s easy to predict the cutting force in plunge milling with considerable accuracy. Furthermore, the new model provides advice for the selections of machining parameters, machine tools and cutters to ensure the safety and high-quality of manufacturing process.
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References
Smithberg, D.: Inconel 718 machining manual. Manufacturing Research and Development, Boeing Commercial Airplane Company. Report 6M59–559 (1987)
Galimberti, J.M.: Improved metal removal rates for difficult-to-machine alloys. Creative Manufacturing Seminar, ASTME. SP 63–194 (1962-1963)
Shaw, Nakayama, M.K.: Machining high strength materials. CIRP Annals-Manufacturing Technology 15(1), 45–59 (1967)
Wakaoka, S., Yamane, Y., Sekiya, K., Narutaki, N.: High-speed and high-accuracy plunge cutting for vertical walls. Journal of Materials Processing Technology 127(2), 246–250 (2002)
Li, Y., Liang, S.Y., Petrof, R.C., Seth, B.B.: Force modelling for cylindrical plunge cutting. The International Journal of Advanced Manufacturing Technology 16(12), 863–870 (2000)
Damir, A., Ng, E.G., Elbestawi, M.: Force prediction and stability analysis of plunge milling of systems with rigid and flexible workpiece. The International Journal of Advanced Manufacturing Technology 54(9), 853–877 (2011)
Al-Ahmad, M., Acunto, A.D., Lescalier, C., Bomont, O.: Modelling of cutting forces in plunge milling. In: 7th International Conference on Advanced Manufacturing Systems and Technology, Udine, Italy, pp. 9–10 (2005)
Ko, J.H., Altintas, Y.: Time domain model of plunge milling operation. International Journal of Machine Tools and Manufacture 47(9), 1351–1361 (2007)
Altintas, Y., Ko, J.: Chatter stability of plunge milling. CIRP Annals-Manufacturing Technology 55(1), 361–364 (2006)
Jang, D.Y., Choi, Y.G., Kim, H.G., Hsiao, A.: Study of the correlation between surface roughness and cutting vibrations to develop an on-line roughness measuring technique in hard turning. International Journal of Machine Tools and Manufacture 36(4), 453–464 (1996)
El-Wardany, T., Gao, D., Elbestawi, M.: Tool condition monitoring in drilling using vibration signature analysis. International Journal of Machine Tools and Manufacture 36(6), 687–711 (1996)
Youn, J.W., Yang, M.Y.: A study on the relationships between static/dynamic cutting force components and tool wear. Journal of Manufacturing Science and Engineering 123(2), 196–205 (2001)
Sarhan, A., Sayed, R., Nassr, A., El-Zahry, R.: Interrelationships between cutting force variation and tool wear in end-milling. Journal of Materials Processing Technology 109(3), 229–235 (2001)
Elbestawi, M., Papazafiriou, T., Du, R.: In-process monitoring of tool wear in milling using cutting force signature. International Journal of Machine Tools and Manufacture 31(1), 55–73 (1991)
Lee, L., Lee, K., Gan, C.: On the correlation between dynamic cutting force and tool wear. International Journal of Machine Tools and Manufacture 29(3), 295–303 (1989)
Toh, C.K.: Evaluation of Cutter Path Strategies and Orientations When High Speed Milling Hardened H13 Steel AISI. Ph.D. Thesis, University of Birmingham, Birmingham (2003)
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Zhuang, K., Zhang, X., Zhang, X., Ding, H. (2012). Force Prediction in Plunge Milling of Inconel 718. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33515-0_26
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DOI: https://doi.org/10.1007/978-3-642-33515-0_26
Publisher Name: Springer, Berlin, Heidelberg
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