[1] D. Ulutan and T. Ozel. Machining induced surface integrity in titanium and nickel alloys: A review.
International Journal of Machine Tools and Manufacture, 51(3):250–280, 2011. doi:
10.1016/j.ijmachtools.2010.11.003.
[2] J.P. Davim (ed.).
Machining of Titanium Alloys. Springer-Verlag, Berlin, 2014. doi:
10.1007/978-3-662-43902-9.
[3] M. Motyka, W. Zaja, and J. Sieniawski.
Titanium Alloys – Novel Aspects of Their Manufacturing and Processing. IntechOpen, 2019.
[4] J.P. Davim (ed.).
Surface Integrity in Machining. Springer, London, 2010. doi:
10.1007/978-1-84882-874-2.
[5] K. Cheng (ed.).
Machining Dynamics. Fundamentals, Applications and Practices. Springer, London, 2009. doi:
10.1007/978-1-84628-368-0.
[6] T.L. Schmitz and K.S. Smith.
Machining Dynamics. Frequency Response to Improved Productivity. Springer, New York, 2009. doi:
10.1007/978-0-387-09645-2.
[7] W. Cheng and J.C. Outeiro. Modelling orthogonal cutting of Ti-6Al-4 V titanium alloy using a constitutive model considering the state of stress.
The International Journal of Advanced Manufacturing Technology, 119:4329–4347, 2022. doi:
10.1007/s00170-021-08446-9.
[8] M. Sima, and T. Özel. Modified material constitutive models for serrated chip formation simulations and experimental validation in machining of titanium alloy Ti–6Al–4V. I
nternational Journal of Machine Tools and Manufacture, 50(11):943–960, 2010. doi:
10.1016/j.ijmachtools.2010.08.004.
[9] V. Stupnytskyy and I. Hrytsay. Comprehensive analysis of the product’s operational properties formation considering machining technology.
Archive of Mechanical Engineering, 67(2):149–167, 2020. doi:
10.24425/ame.2020.131688.
[10] V. Stupnytskyy, I. Hrytsay, and Xianning She. Finite element analysis of thermal and stress-strain state during titanium alloys machining. In:
Advanced Manufacturing Processes II. Lecture Notes in Mechanical Engineering, 629–639, Springer, 2021. doi:
10.1007/978-3-030-68014-5_61.
[11] M.K. Gupta, M.E. Korkmaz, M. Sarıkaya, G.M. Krolczyk, M. Günay and S. Wojciechowski. Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach.
Measurement, 188:110594, 2022. doi:
10.1016/j.measurement.2021.110594.
[12] Y.-P. Liu and Y. Altintas. Predicting the position-dependent dynamics of machine tools using progressive network.
Precision Engineering, 73: 409–422, 2022. doi:
10.1016/j.precisioneng.2021.10.010.
[13] A. Pramanik and G. Littlefair. Machining of titanium alloy (Ti-6Al-4V)—theory to application.
Machining Science and Technology, 19(1):1–49, 2015. doi:
10.1080/10910344.2014.991031.
[14] W. Cheng, J. Outeiro, J.-P. Costes, R. M’Saoubi, H. Karaouni, L. Denguir, V. Astakhov, and F. Auzenat. Constitutive model incorporating the strain-rate and state of stress effects for machining simulation of titanium alloy Ti6Al4V.
Procedia CIRP, 77:344–347, 2018. doi:
10.1016/j.procir.2018.09.031.
[15] S. Wojciechowski, P. Twardowski, and M. Pelic. Cutting forces and vibrations during ball end milling of inclined surfaces. P
rocedia CIRP, 14:113–118, 2014. doi:
10.1016/j.procir.2014.03.102.
[16] D. Chen, J. Chen, and H. Zhou. The finite element analysis of machining characteristics of titanium alloy in ultrasonic vibration assisted machining.
Journal of Mechanical Science and Technology, 35:3601–3618, 2021. doi:
10.1007/s12206-021-0731-9.
[17] Q. Yang, Z. Liu, Z. Shi, and B. Wang. Analytical modeling of adiabatic shear band spacing for serrated chip in high-speed machining.
The International Journal of Advanced Manufacturing Technology. 71:1901–1908, 2014. doi:
10.1007/s00170-014-5633-x.
[18] A.Í.S. Antonialli, A.E. Diniz, and R. Pederiva. Vibration analysis of cutting force in titanium alloy milling.
International Journal of Machine Tools and Manufacture. 50(1):65–74, 2010. doi:
10.1016/j.ijmachtools.2009.09.006.
[19] G. Korendyasev. An approach to modeling self-oscillations during metal machining based on a finite-element model with small amount of computing resources.
Vibroengineering PROCEDIA, 32:6–12, 2020. doi:
10.21595/vp.2020.21437.
[20] J. Klingelnberg. Dynamics of machine tools. In: Klingelnberg, J. (ed.):
Bevel Gear, pages 311–320, Springer Vieweg, 2016. doi:
10.1007/978-3-662-43893-0_8.
[21] Y. Petrakov, M. Danylchenko, and A. Petryshyn. Prediction of chatter stability in turning.
Eastern-European Journal of Enterprise Technologies, 5(1):58–64, 2019. doi:
10.15587/1729-4061.2019.177291.
[22] S.K. Choudhury, N.N. Goudimenko, and V.A. Kudinov. On-line control of machine tool vibration in turning.
International Journal of Machine Tools and Manufacture. 37(6):801–811, 1997. doi:
10.1016/S0890-6955(96)00031-4.
[23] A. Liljerehn.
Machine Tool Dynamics. A constrained state-space substructuring approach. Ph.D. Thesis, Göteborg, Sweden, 2016.
[24] G.R. Johnson and W.N. Cook. A constitutive model and data for metals subjected to large strains. High rates and high temperatures. In
7th International Symposium on Ballistics, pages 541–547, Hague, Netherlands, 19–21 April 1983.
[25] Y. Zhang, J.C. Outeiro, and T. Mabrouki. On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting.
Procedia CIRP, 31:112–117, 2015. doi:
10.1016/j.procir.2015.03.052.
[26] D. Yan, T. Wu, Y. Liu, and Y. Gao. An efficient sparse-dense matrix multiplication on a multicore system. In
17th International Conference on Communication Technology (ICCT), pages 1880–1883, Chengdu, China, 27-30 October 2017. doi:
10.1109/ICCT.2017.8359956.
[27] M. Binder, F. Klocke, and D. Lung. Tool wear simulation of complex shaped coated cutting tools.
Wear, 330–331:600–607, 2015. doi:
10.1016/j.wear.2015.01.015.
[28] D. Alleyne and P. Cawley. A two-dimensional Fourier transform method for the measurement of propagating multimode signals.
The Journal of the Acoustical Society of America, 89(3):1159–1168, 1991. doi:
10.1121/1.400530.
[29] C.M. Harris and A.G. Piersol. Harris' Shock and Vibration Handbook. McGraw-Hill, 2002.
[30] S.A. Sina, H.M. Navazi, and H. Haddadpour. An analytical method for free vibration analysis of functionally graded beams.
Materials and Design, 30(3):741–747, 2009. doi:
10.1016/j.matdes.2008.05.015.
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