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Force Modelling for Temperature Field Determination during High Speed End-Milling of Super Alloys

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Abstract

Temperature field in metal cutting process is one of the most important phenomena in machining process. Temperature rise in machining directly or indirectly determines other cutting parameters such as tool life, tool wear, thermal deformation, surface quality and mechanics of chip formation. The variation in temperature of a cutting tool in end milling is more complicated than any other machining operation especially in high speed machining. It is therefore very important to investigate the temperature distribution on the cutting tool—work piece interface in end milling operation. The determination of the temperature field is carried out by the analysis of heat transfer in metal cutting zone. Most studies previously carried out on the temperature distribution model analysis were based on analytical model and with the used of conventional machining that is continuous cutting in nature. The limitations discovered in the models and validated experiments include the oversimplified assumptions which affect the accuracy of the models. In metal cutting process, thermo-mechanical coupling is required and to carry out any temperature field determination successfully, there is need to address the issue of various forces acting during cutting and the frictional effect on the tool-work piece interface. Most previous studies on the temperature field either neglected the effect of friction or assumed it to be constant. The friction model at the tool-work interface and tool-chip interface in metal cutting play a vital role in influencing the modelling process and the accuracy of predicted cutting forces, stress, and temperature distribution. In this work, mechanistic model was adopted to establish the cutting forces and also a new coefficient of friction was also established. This can be used to simulate the cutting process in order to enhance the machining quality especially surface finish and monitor the wear of tool.

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References

  • Azeem, A. Feng, H.Y., Wang, L. (2004). “Simplified and efficient calibration of a mechanistic cutting force model for ball-end milling” International Journal of Machine Tools and Manufacture, 44 (2–3): 291–298.

    Article  Google Scholar 

  • Armaego, E.J.A., Whitfield, R.C. (1985). “Computer based modeling of popular machining operation for force and power predictions”. Annal of the CIRP, 34: 65–69.

    Article  Google Scholar 

  • Budak, E., Altintas, Y., Armaego, E.J.A. (1996). “Prediction of milling force coefficient from orthogonal cutting data ASME” Journal of manufacturing science and Engineering, 118: 216–224.

    Article  Google Scholar 

  • Budak, E. (2005). “Analytical model for high performance milling”. International Journal of Machine Tool and Manufacture, 46: 476–488.

    Google Scholar 

  • Budak, E., Ozlu, E. (2008). “Development of a thermo-mechanical cutting process model for machining process simulation”. CIRP Manufacturing Technology, 57 (1): 97–100.

    Article  Google Scholar 

  • Cao, Q., Zhao, J., Han, S., Chen, X. (2012). “Force coefficients identification considering inclination angle for ballend finish milling,” Precision Engineering, 36 (2): 252–260.

    Article  Google Scholar 

  • Childs, T.H., Dirikolu, M.H., Maekawa, S. (2001). “Finite element simulation of chip flow in metal machining”. International Journal of Mechanical Science, 43:2699–2713.

    Article  Google Scholar 

  • Dabade, U.A., Dapkekar, D., Joshi, S.S. (2009). “Modeling of chip-tool interface friction to predict cutting forces in machining of Al/SiC composites,” International Journal of Machine Tools and Manufacture, 49 (9): 690–700.

    Article  Google Scholar 

  • Davies, M.A., Cao, Q., Cooke, A.L., Ivester, R. (2013). ”On the Measurement and prediction of Temperature Fields in Machining”. Steel CIRP Ann.52 (1): 77–80.

    Article  Google Scholar 

  • Ehman, K.F., Kapoor, S.G., Devor, R.E., Lazoglu, I. (1997). “Machining process modelling: A Review. ASME Journal of Manufacturing Science and Engineering, 119:655–663.

    Article  Google Scholar 

  • Fang, N., Wu, Q. (2009). “A Comparative study of the cutting forces in high speed machining of Ti-6Al-4V and Inconel 718 with a round cutting edge tool”. Journal of Materials Processing Technology, 209: 4385–4389.

    Article  Google Scholar 

  • Fontaine, M. Moufki, A. Devillez, A., Dudzinski, D. (2007). “Modelling of cutting forces in ball-end milling with tool-surface inclination. Part I: predictive force model and experimental validation,” Journal of Materials Processing Technology, 189 (1–3): 73–84

    Article  Google Scholar 

  • Fontaine, M., Deillez, A., Mourfki, A., Dundski, D. (2006). “Predictive force model for ball- end milling and experimental validations with a wavelike form machining test”. International Journal of Machine Tools and Manufacture, 46:367–380.

    Article  Google Scholar 

  • Gonzalo, O., Beristain, J., Jauregi, H., Sanz, C. (2010). “A method for the identification of the specific force coefficients for mechanistic milling simulation,” International Journal of Machine Tools and Manufacture, 50 (9): 765–774, 2010.

    Article  Google Scholar 

  • Gradišek, J. Kalveram, M., Weinert, K. (2004). “Mechanistic identification of specific force coefficients for a general end mill,” International Journal of Machine Tools and Manufacture, 44 (4): 401–414.

    Article  Google Scholar 

  • Groover, M.P. (2007). “Fundamental of Modern Manufacturing”. Third ed., New Jersey, John Wiley.

    Google Scholar 

  • Johnson, W., Mellor, P.B. (1983). “Engineering Plasticity, John Willey & Sons: New York.

    Google Scholar 

  • Kadirgama, M., Noor, M.K., Rahman, M.M., Harumand, W.S.W., Haron, C.H.C. (2009). “Finite element analysis and statistical method to determine temperature distribution on cutting tool in end milling”. European Journal of Scientific Research, 30 (3): 105–123.

    Google Scholar 

  • Kline, W., Devor, R., Linberg, I. (1982). “The prediction of cutting force in end milling”. International Journal for Machine Tool Res., 22 (1): 20–22.

    Google Scholar 

  • Lazoglu, I. (2002). “Prediction of tool and chip temperature in continuous and interrupted Machining”. International Journal of Machine Tools and Manufacture, 42 (9): 1011–1022.

    Article  Google Scholar 

  • Montgomery, D., Altintas, Y. (1991). “Mechanism of cutting force and surface generation in dynamic milling”. Transaction of ASME Journal of Engineering for Industry, 113: 160–168.

    Article  Google Scholar 

  • Moufki, A., Dudzinski, D., Molinari, A., Rausch, M. (2000). “Thermo-viscoplastic modeling of oblique cutting: forces and chip flow predictions,” International Journal of Mechanical Sciences, 42 (6): 1205–1232.

    Article  Google Scholar 

  • Oxley, P.L.B. (1989). “Mechanics of Machining”. An analytical approach to assessing machinability, Halisted Press New: York

    Google Scholar 

  • Sabberwal, A. (1962). “Cutting forces in down milling”. International Journal for Machine tool, 2: 27–41

    Article  Google Scholar 

  • Shamoto, E., Altintas, Y. (1999). “Prediction of Shear angle in cutting with maximum shear stress and minimum energy principles”,. Journal of Manufacturing Science and Technology, 121:399–407

    Google Scholar 

  • Shatla, Y.C., Yen, M.O., Castelanos, L., Menegardo, T., Altan, T. (1999). “Prediction of cutting forces, temperatures and stresses from flow stress data and cutting conditions-Research in Progress”. In: Proceeding of the second CIRP International Workshop on Modelling of Machining Operation, Ecode Centrale De Nantes, Nantes, France.

    Google Scholar 

  • Smith, S., Thisty, J. (1991). “An overview of modeling and simulation of the milling process”. ASME Journal of Engineering for Industry, 113: 169–175

    Article  Google Scholar 

  • Sun, Y., Guo, Q. (2011). “Numerical simulation and prediction of cutting forces in five-axis milling processes with cutter run-out,” International Journal of Machine Tools and Manufacture, 51 (10–11): 806–815.

    Article  Google Scholar 

  • Yang, M., Park, H. (1991). “The prediction of cutting force coefficient in ball-end milling”. International Journal of machine tools and manufactures, 31 (1): 45–54.

    Article  Google Scholar 

  • Yucesan, G., Altintas, Y. (1996). “Prediction of ball; end milling forces”. ASME Journal of Engineering for Industry, 118: 95–103.

    Article  Google Scholar 

  • Yun, W.S., Chao, D.W. (2001). “Cutting force prediction using cutting conditions independent coefficient in end milling.” International Journal of Machine Tools and Manufacture, 47: 463–478.

    Article  Google Scholar 

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© 2015 TMS (The Minerals, Metals & Materials Society)

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Ojolo, S.J., Agunsoye, O., Adesina, O. (2015). Force Modelling for Temperature Field Determination during High Speed End-Milling of Super Alloys. In: Poole, W., et al. Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME 2015). Springer, Cham. https://doi.org/10.1007/978-3-319-48170-8_42

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