Abstract
Titanium alloys have been attracting from the more industries, especially, industry aerospace due to their very important high strength to weight ratio. Furthermore, they were classified as difficult to machine materials due to low tool life in machining processes. In this study, a FE model has been developed to simulate the turning stage of Ti–6Al–4V alloy. A 3D model with thermo-mechanical coupling has been proposed to study the influence of cutting parameters and also lubrication on the performance of cutting tools. The constants of the Johnson–Cook constitutive model of Ti–6Al–4V alloy were identified using inverse analysis based on the process parameters of the orthogonal cutting. The predictive FE model has been validated based on an orthogonal cutting test. The investigations indicated that this approach estimates the resultant cutting forces with low prediction errors. Indeed, the predicted forces showed good agreement with the experimental data, with minimum and maximum error magnitudes of 2.8 and 8.7% for cutting force, and 1.3 and 6.8% for feed force, respectively.
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Palaniappan, K., Sundararaman, M., Murthy, H., Jeyaraam, R., Raoa, B.C.: Influence of workpiece texture and strain hardening on chip formation during machining of Ti-6Al–4V alloy. Int. J. Mach. Tools Manuf. 173, 103849 (2022)
Calamaz, M., Coupard, D., Girot, F.: A new material model for 2D numerical simulation of serrated chip formation when machining titanium alloy Ti-6Al-4V. Int. J. Mach. Tools Manuf. 48, 275–288 (2008)
Zhang, W., Cheng, C., Du, X., Chen, X.: Experiment and simulation of milling temperature field on hardened steel die with sinusoidal surface. Int. J. Interact. Des. Manuf. IJIDeM 12, 345–353 (2018)
Lotfi, M., Ashrafi, H., Amini, S., Farid, A., Jahanbakhsh, M.: Characterization of various coatings on wear suppression in turning of Inconel 625: a three-dimensional numerical simulation. Proc. Inst. Mech. Eng. J J. Eng. Tribol. 1350650116677131 (2016)
Yang, D., Liu, Z., Ren, X., Zhuang, P.: Hybrid modeling with finite element and statistical methods for residual stress prediction in peripheral milling of titanium alloy Ti-6Al-4V. Int. J. Mech. Sci. 108–109, 29–38 (2016)
Bäker, M., Rosler, J., Siemers, C.: A finite element model of high speed metal cutting with adiabatic shearing. Comput. Struct. 80, 495–513 (2002)
Yang, S., Tong, X., Liu, X., Zhang, Y., He, C.: Investigation on the temperature field under the action of the blunt tool edge for precision cutting of titanium alloys. Int. J. Interact. Des. Manuf. IJIDeM 12, 823–831 (2018)
Wang, T., Xie, L., Wang, X.: Simulation study on defect formation mechanism of the machined surface in milling of high volume fraction SiCp/Al composite. Int. J. Adv. Manuf. Technol. 79(5–8), 1185–1194 (2015)
Liu, J.W., Cheng, K., Ding, H., et al.: Simulation study of the influence of cutting speed and tool-particle interaction location on surface formation mechanism in micromachining SiCp/Al composites. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 232(11), 2044–2056 (2018)
Li, A., Zang, J., Zhao, J.: Effect of cutting parameters and tool rake angle on the chip formation and adiabatic shear characteristics in machining Ti-6Al-4V titanium alloy. Int. J. Adv. Manuf. Technol. 107, 3077–3091 (2020)
Li, A., Zhao, J., Hou, G.: Effect of cutting speed on chip formation and wear mechanisms of coated carbide tools when ultra-highspeed face milling titanium alloy Ti-6Al-4V. Adv. Mech. Eng. 9(7), 1687814017713704 (2017)
Hou, G., Li, A., Song, X., Sun, H., Zhao, J.: Effect of cutting parameters on surface quality in multi-step turning of Ti-6Al-4V titanium alloy. Int. J. Adv. Manuf. Technol. 98, 1355–1365 (2018)
Vyas, A., Shaw, M.C.: Mechanics of saw-tooth chip formation in metal cutting. J. Manuf. Sci. Eng. 121, 163–172 (1999)
Hua, J., Shivpuri, R.: Prediction of chip morphology and segmentation during the machining of titanium alloys. J. Mater. Process. Technol. 150, 124–133 (2004)
Umer, U., Ashfaq, M., Qudeiri, J., et al.: Modeling machining of particle-reinforced aluminum-based metal matrix composites using cohesive zone elements. Int. J. Adv. Manuf. Technol. 78(5–8), 1171–1179 (2015)
Zhang, D.N., Shangguan, Q.Q., Xie, C.J., et al.: A modified Johnson-Cook model of dynamic tensile behaviors for 7075–T6 aluminum alloy. J. Alloys Compd. 619, 186–194 (2015)
Chen, G., Caudill, J., Ren, C., Jawahir, I.S.: Numerical modeling of Ti-6Al-4V alloy orthogonal cutting considering microstructure dependent work hardening and energy density-based failure behaviors. Int. J. Mach. Tools and Manuf. 82, 750–764 (2022)
Burhanuddin, Y., Harun, S., Ibrahim, G.A.: FEM simulation of machining AISI 1045 steel using driven rotary tool. In: Applied Mechanics and Materials, p. 758 (2015)
Li, A., Pang, J., Zhao, J., Zang, J., Wang, F.: FEM-simulation of machining induced surface plastic deformation and microstructural texture evolution of Ti-6Al-4V alloy. Int. J. Mech. Sci. 123, 214–223 (2017)
Zhou, X., He, L., Zhou, T., Jiang, H., Xu, J., Tian, P., Zou, Z., Du, F.: Multiscale research of microstructure evolution during turning Ti-6Al-4V alloy based on FE and CA. J. Alloys Compd. 922, 166202 (2022)
Chen, G., Ren, C., Yang, X., Jin, X., Guo, T.: Finite element simulation of high-speed machining of titanium alloy (Ti–6Al–4V) based on ductile failure model. Int. J. Adv. Manuf. Technol. 56, 1027–1038 (2011)
Chen, W., Xue, J., Tang, D., Chen, H., Qu, S.: Deformation prediction and error compensation in multilayer milling processes for thin-walled parts. Int. J. Mach. Tools Manuf. 49, 859–864 (2009)
Zhou, L., Huang, S., Wang, D., et al.: Finite element and experimental studies of the cutting process of SiCp/Al composites with PCD tools. Int. J. Adv. Manuf. Technol. 52(5–8), 619–626 (2011)
Chen, Z., Zhang, J., Feng, P., Wu, Z.: A simulation study on the effect of micro-textured tools during orthogonal cutting of titanium alloy Ti–6Al–4V. Appl. Mech. Mater. 281, 389–394 (2013)
Johnson, G., Cook, W.: A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures. In: Proceedings of the Seventh International Symposium on Ballistics. The Hague, The Netherlands, pp. 541–547 (1983)
Baker, M., Rösler, J., Siemers, C.: A finite element model of high speed metal cutting with adiabatic shearing. Comput. Struct. 80(5,6), 495–513 (2002)
Jianxin, D., Ze, W., Yunsong, L., Ting, Q., Jie, C.: Performance of carbide tools with textured rake-face filled with solid lubricants in dry cutting processes. Int. J. Refract. Met. Hard Mater. 30(1), 164–172 (2012)
Calamaz, M., Coupard, D., Nouari, M., Girot, F.: A finite element model of high speed machining of TA6V titanium alloy. In: Sixth International Conference on High Speed Machining (HSM), San Sebastian, Spain, 21–22 March 2007
Filice, L., Umbrello, D., Beccari, S., Micari, F.: On the FE codes capability for tool temperature calculation in machining processes. J. Mater. Process. Technol. 174(1–3), 286–292 (2006)
Hou, Z.-B., Komanduri, R.: On a thermo-mechanical model of shear instability in machining. CIRP Ann. 44(1), 69–73 (1995)
Komanduri, R., Hou, Z.B.: A review of the experimental techniques for the measurement of heat and temperatures generated in some manufacturing processes and tribology. Tribol. Int. 34, 653–682 (2001)
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Sahli, M., Abid, M., Barrière, T. et al. Investigation on machining of a Ti–6Al–4V alloy using FEM simulation and experimental analysis. Int J Interact Des Manuf 17, 801–811 (2023). https://doi.org/10.1007/s12008-022-01116-4
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DOI: https://doi.org/10.1007/s12008-022-01116-4