Roberto Pérez, Luis Hernández, Ana Quesada, Julio Pino, Enrique Zayas

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High-speed turning is an advanced and emerging machining technique that, in contrast to the conventional machining, allows the manufacture of the workpiece with high accuracy, efficiency and quality, with lower production costs and with a considerable reduction in the machining times. The cutting tools used for the conventional machining cannot be employed for high-speed machining due to a high temperature induced in machining and a lower tool life. Therefore, it is necessary to study the influence of high cutting speeds on the temperature distribution in different typologies of cutting tools, with the aim of evaluating their behavior. In this paper, a finite element method modeling approach with arbitrary Lagrangian-Eulerian fully coupled thermal-stress analysis is employed. The research presents the results of different cutting tools (two coated carbide tools and uncoated cermet) effects on average surface temperature fields on the cutting edge in the dry high-speed turning of AISI 1045 steel. The numerical experiments were designed based on different cutting tools like input parameters and different temperature field zones like dependent variables in the dry high-speed turning of AISI 1045 steel. The results indicate that the dry high-speed turning of AISI 1045 steel does not influence significantly the temperature field zones when P10, P15 or P25 inserts are used. Therefore, the use of a dry high-speed turning method, which reduces the amount of lubricant and increases productivity, may represent an alternative to turning to the extent here described.


High-speed Turning, FEM Modeling, Temperature Fields, Tool-chip Interface Friction, Round Edge

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Sulaiman, S., Roshana, A., Ariffin, M.K.A., 2013, Finite element modeling of the effect of tool rake angle on tool temperature and cutting force during high speed machining of AISI 4340 steel, Proc. 2nd International Conference on Mechanical Engineering Research, 1–4 July, Kuantan, Pahang, Malaysia.

Özel, T., Altan, T., 2000, Determination of workpiece flow stress and friction at the chip–tool contact for high-speed cutting, International Journal of Machine Tools & Manufacture, 40, pp. 133–152.

Özel, T., Altan, T., 1998, Modeling of high speed machining processes for predicting tool forces, stresses and temperatures using FEM simulations, Proc. of the CIRP International Workshop on Modeling of Machining Operations, Atlanta, Georgia, USA.

Usui, E., Takeyama, H., 1960, A photoelastic analysis of machining stresses, Journal Engineering for Industry, 82(4), pp. 303-307.

Wallace, P.W., Boothroyd, G., 1964, Tool forces and tool-chip friction in orthogonal machining, Journal of Mechanical Engineering Science, 6(1), pp. 74-87.

Karpat, Y., Özel, T., 2006, Predictive analytical and thermal modeling of orthogonal cutting process—Part I: predictions of tool forces, stresses, and temperature distributions, Journal of Manufacturing Science and Engineering, 128, pp. 435-444.

Astakhov, V.P., Outeiro, J., 2019, Importance of temperature in metal cutting and its proper measurement/modeling. In J. Davim (Ed.), Measurement in Machining and Tribology, Springer, Cham, pp. 1-47.

Gao, Y., Mann, J.B., Chandraseka, S., Sun, R., Leopold, J., 2015, Heat flux in cutting: importance, simulation and validation, Procedia CIRP, 58, pp. 204-209.

Putz, M., Schmidt, G., Semmler, U., Dix, M., Bräunig, M., Brockmann, M., Gierlings, S., 2015, Heat flux in cutting: importance, simulation and validation, Procedia CIRP, 31, pp. 334-339.

Attia, M.H., Kops, l., 2004, A new approach to cutting temperature prediction considering the thermal constriction phenomenon in multi-layer coated tools, CIRP Annals, 53(1), pp. 47-52.

Abouridouane, M., Klocke, F., Döbbeler, B., 2016, Analytical temperature prediction for cutting steel, CIRP Annals - Manufacturing Technology, 65, pp. 77-80.

Arshinov, V., Alekseev, V., 1973, Metal cutting theory and cutting tool design, Moscow, USSR: Mir.

Kus, A., Isik, Y., Cakir, C. M., Coşkun, S., Özdemir, K., 2015, Thermocouple and infrared sensor-based measurement of temperature distribution in metal cutting, Sensors, 15, pp. 1274-1291.

Leopold, J., 2014, Approaches for modelling and simulation of metal machining – a critical review, Manufacturing Review, 1, pp. 1-7.

Chinchanikar, S., Choudhury, S.K., 2015, Machining of hardened steel—Experimental investigations, performance modeling and cooling techniques: A review, International Journal of Machine Tools and Manufacture, 89, pp. 95-109.

Özel, T., Altan, T., 2000, Process simulation using finite element method — prediction of cutting forces, tool stresses and temperatures in high-speed flat end milling, International Journal of Machine Tools & Manufacture, 40, pp. 713-738.

Özel, T., 2003, Modeling of hard part machining: effect of insert edge preparation in CBN cutting tools, Journal of Materials Processing Technology, 141, pp. 284-293.

Fang, G., Zeng, P., 2007, FEM investigation for orthogonal cutting process with grooved tools-technical communication, Machining Science and Technology, 11(4), pp. 561-572.

Agmell, M., Bushlya, V., M’Saoubi, R., Gutnichenko, O., Zaporozhets, O., Laakso, S., Stahl, J.E., 2020, Investigation of mechanical and thermal loads in pcBN tooling during machining of Inconel 718, International Journal of Advanced Manufacturing Technology, 107, pp. 1451-1462.

Al-Zkeri, I., Rech, J., Altan, T., Hamdi, H., Valiorgue, F., 2009, Optimization of the cutting edge geometry of coated carbide tools in dry turning of steels using a finite element analysis, Machining Science and Technology, 13, pp. 36-51.

Arrazola, P. J., Özel, T., 2010, Investigations on the effects of friction modeling in finite element simulation of machining, International Journal of Mechanical Sciences, 52, pp. 31-42.

Karpat, Y., Özel, T., 2008, Analytical and thermal modeling of high-speed machining with chamfered tools, Journal of Manufacturing Science and Engineering, 130(1), pp. 1-15.

Özel, T., Altan, T., 2005, Finite element modeling of stresses induced by high speed machining with round edge cutting tools, Proc. of ASME International Mechanical Engineering Congress & Exposition, Orlando, Florida, USA.

Özel, T., Llanos, I., Soriano, J., Arrazola, P.J., 2011, 3D finite element modelling of chip formation process for machining inconel 718: comparison of FE software predictions, Machining Science and Technology, 15, pp. 21-46.

Tang, L., Huang, J., Xie, L., 2011, Finite element modeling and simulation in dry hard orthogonal cutting AISI D2 tool steel with CBN cutting tool, International Journal of Advanced Manufacturing Technology, 53, pp. 1167-1181.

Ucun I, Aslantas K., 2011, Numerical simulation of orthogonal machining process using multilayer and single-layer coated tools, International Journal of Advanced Manufacturing Technology, 54, pp. 899-910.

Yun-Song, L., Chen-Liang, M., Ming, L., Hui-Feng, C., Bin, Y., 2019, Three-dimensional numerical simulation of soft/hard composite-coated textured tools in dry turning of AISI 1045 steel, Advances in Manufacturing, 7, pp. 133-141.

Akbar, F., Mativenga, P.T., Sheikh, M. A., 2008, An evaluation of heat partition in the high-speed turning of AISI/SAE 4140 steel with uncoated and TiN-coated tools, Proc. of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222(7), pp. 759-771.

Akbar, F., Mativenga, P. T., Sheikh, M.A., 2010, An experimental and coupled thermo-mechanical finite element study of heat partition effects in machining, International Journal of Advanced Manufacturing Technology, 46, pp. 491-507.

Heisel, U., Storchak, M., Krivoruchko, D., 2013, Thermal effects in orthogonal cutting, Production Engineering: Research and Development, 7, pp. 203–211.

Hernández-González, L.W., Seid-Ahmed, Y., Pérez-Rodríguez, R., Zambrano-Robledo, P.C., Guerrero-Mata, M.P., 2018, Selection of machining parameters using a correlative study of cutting tool wear in High-Speed Turning of AISI 1045 steel, Journal of Manufacturing and Materials Processing, 2(4), 66, doi: 10.3390/jmmp2040066



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