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Titanium alloys are difficult-to-machine materials due to their complex mechanical and thermophysical properties. An essential factor in ensuring the quality of the machined surface is the analysis and recommendation of vibration processes accompanying cutting. The analytical description of these processes for machining titanium alloys is very complicated due to the complex adiabatic shear phenomena and the specific thermodynamic state of the chip-forming zone. Simulation modeling chip formation rheology in Computer-Aided Forming systems is a practical method for studying these phenomena. However, dynamic research of the cutting process using such techniques is limited because the initial state of the workpiece and tool is a priori assumed to be "rigid", and the damping properties of the fixture and machine elements are not taken into account at all. Therefore, combining the results of analytical modeling of the cutting process dynamics with the results of simulation modeling was the basis for the proposed research methodology. Such symbiosis of different techniques will consider both mechanical and thermodynamic aspects of machining (specific dynamics of cutting forces) and actual conditions of stiffness and damping properties of the “Machine-Fixture-Tool-Workpiece” system.
Wydawca
Czasopismo
Rocznik
Tom
Strony
85--105
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
Bibliografia
- [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.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0dd541ce-c493-420d-bed7-34f8a33e0ea0