Material Constitutive Model of 2Cr13 for FEA of Chip Formation Process

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Abstract:

The prediction accuracy of the simulation of cutting process is related with the description of the nonlinear behavior of material at extremely high strain, strain rate and temperature in machining. In this paper, an integral Johnson-Cook model is presented to characterize the mechanical behavior of work materials in machining, and the parameters in the model are determined by fitting the data from both quasi-static compression and cutting tests. Then the material equation of 2Cr13 stainless steel is derived with this method and used in the finite element model of orthogonal cutting with carbide tools. At last, the simulation result is verified with experimental data.

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796-800

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December 2007

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© 2008 Trans Tech Publications Ltd. All Rights Reserved

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[1] E.G. Ng, T.I. EI. Wardany and M. Dumitrescu: Proc. 5th CIRP International Workshop on Modeling of Machining Operations West Lafayette, 2002, pp.1-19.

Google Scholar

[2] V.P. Astakhov: Journal of Materials Processing Technology. Vol. 96 (1999), pp.22-23.

Google Scholar

[3] Y.B. Guo: Journal of Materials Processing Technology, Vol. 142 (2003), pp.72-81.

Google Scholar

[4] G.R. Johnson, W.H. Cook: Proceedings of the Seventh International Symposium on Ballistics, The Hague, The Netherlands, 1983, pp.541-547.

Google Scholar

[5] N. Tounsi, J. Vincenti, A. Otho, M. A: International Journal of Machine Tool & Manufacture, Vol. 42 (2002), pp.1373-1383.

Google Scholar

[6] G.R. Johnson, J.M. Hoegfeldt, U.S. Lindholm and A. Nagy: J. Eng. Mater. Technol., Vol. 105 (1983), pp.42-47.

Google Scholar

[7] M.G. Stevenson, P.L.B. Oxley: Proc. Inst. Mech. Eng., Vol. 185 (1970), pp.741-754.

Google Scholar

[8] L.J. Xie: Estimation of two dimensional tool wear based on finite element method. Germany: Karlsruhe University, (2003).

Google Scholar