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COMPUTATIONAL SIMULATION OF CHIP FORMATION AND TEMPERATURE DISTRIBUTION USING FEM

Yanis Ziane , Department of Mechanical Engineering, Ibn Khaldoun University of Tiaret, Tiaret, Algeria

Abstract

This study employs Finite Element Method (FEM) simulations to investigate chip formation dynamics and temperature distribution during machining processes. Understanding these phenomena is crucial for optimizing cutting parameters and enhancing machining efficiency and tool life. The FEM models consider factors such as tool geometry, material properties, and cutting conditions to simulate realistic chip formation and thermal behavior. Insights gained from this research contribute to advancing precision machining technologies.

Keywords

Finite Element Method (FEM), chip formation, temperature distribution

References

Abukhshim, N.A., P.T. Mativenga and M.A. Sheikh, 2006. Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining. Int. J. Machine Tools Manuf. 46: 782-800.

Aneiro, F.M., R.T. Coelho and L.C. Brandao, 2008. Turning hardened steel using coated carbide at high cutting speeds. J. Braz. Soc. Mech. Sci. Eng., 30: 104-109.

Astakhov, V.P., 2005. On the inadequacy of the single-shear plane model of chip formation. Int. J. Mech. Sci., 47: 1649-1672.

Ay, H. and W.J. Yang, 1998. Heat transfer and life of metal cutting tools in turning. Int. J. Heat Mass Trans., 41: 613-623.

Borelli, J.E., C.A. Franca, G.C.F. Medeiros and A. Gonzaga, 2001. [Temperature analysis in the contact region between the workpiece and the tool]. Revista Maquinas Metais, 423: 114-125, (In Portuguese).

Coelho, R.T., E.G. Ng and M.A. Elbestawi, 2007. Tool wear when turning hardened AISI 4340 with coated PCBN tools using finishing cutting conditions. Int. J. Mach. Tools Manuf., 47: 263-272.

Da Silva, M.B. and J. Wallbank, 1999. Cutting temperature: Prediction and measurement methods: A review. J. Mater. Process. Technol., 88: 195-202.

Dhar, N.R., M.W. Islam, S. Islam and M.A.H. Mithu, 2006. The influence of Minimum Quantity of Lubrication (MQL) on cutting temperature, chip and dimensional accuracy in turning AISI-1040 steel. J. Mater. Process. Technol., 171: 93-99.

Diniz, A.E., F.C. Marcondes and N.L. Coppini, 1999. Machining materials technology. Mmedit., Sao Paulo, Brazil.

Ducloux, R., 2014. Improvement of part or tooling life prediction through simulation of whole manufacturing process. Procedia Eng., 81: 504-509.

El-Wardany, T.I., E. Mohammed and M.A. Elbestawi, 1996. Cutting temperature of ceramic tools in high speed machining of difficult-to-cut materials. Int. J. Mach. Tools Manuf., 36: 611-634.

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Yanis Ziane. (2024). COMPUTATIONAL SIMULATION OF CHIP FORMATION AND TEMPERATURE DISTRIBUTION USING FEM. The American Journal of Applied Sciences, 6(07), 7–11. Retrieved from https://theamericanjournals.com/index.php/tajas/article/view/5208