IDENTIFICATION OF CHATTER VIBRATIONS AND ACTIVE VIBRATION CONTROL BY USING THE SLIDING MODE CONTROLLER ON DRY TURNING OF TITANIUM ALLOY (TI6AL4V)
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Kim, D.H., Kim, T.J.Y., Wang, X., Kim, M., Quan, Y.S., Oh, J.W., Min, S.H., Kim. H., Bhandari, B., Yang, I., Ahn, S.H., 2018, Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry, International Journal of Precision Engineering and Manufacturing - Green Technology, 5, pp. 555–568.
Lee, W.J., Mendis, G.P., Sutherland, J.W., 2019, Development of an intelligent tool condition monitoring system to identify manufacturing tradeoffs and optimal machining conditions, Procedia Manufacturing, 33, pp. 256–263.
Marković, D., Petrović, G., Ćojbašić, Ž., Marinković, D. 2012, A comparative analysis of metaheuristic maintenance optimization of refuse collection vehicles using the Taguchi experimental design, Transactions of Famena, 36(4), pp. 25-38.
Grzesik, W., 2017, Cutting Vibrations, Advanced Machining Processes of Metallic Materials, pp. 147–162.
Mancisidor, I., Barcena, R., Munoa, J., Etxebarria, A., 2013, Chatter in Turning, In: 2013 European Control Conference (ECC), EUCA, pp. 791–796
Siddhpura, M., Paurobally, R., 2012, A review of chatter vibration research in turning, International Journal of Machine Tools and Manufacture, 61, pp. 27–47.
Yavuz, H., Mistikoǧlu, S., 2009, Assessment of transition from mechanical engineering to mechatronics engineering in Turkey, International Journal of Engineering Education, 25, pp. 112–121.
Thamizhmanii, S., Saparudin, S., Hasan, S., 2007, Analyses of surface roughness by turning process using Taguchi method, Journal of Achievements in Materials and Manufacturing Engineering, 20, pp. 503–505.
Berezvai, S., Bachrathy, D., Stepan, G., 2018, High-speed camera measurements in the mechanical analysis of machining, Procedia CIRP, 00, pp. 1–4.
Jozić, S., Bajić, D., Dumanić, I., Bagavac, Ž., 2021, Optimization for an efficient and highly productive turning process, Reports in Mechanical Engineering, 2(1), pp. 212-221.
Yan, W.Y., Al-Jumaily, A.M., 2005, Workpiece deflection compensation using a two-dimensional toolpost, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 219, pp. 393–400.
Marinkovic, D., Marinkovic, Z., 2012, On FEM modeling of piezoelectric actuators and sensors for thin-walled structures,Smart Structures and Systems, 9(5), pp. 411-426.
Arriaza, O.V., Tumurkhuyagc, Z., Kim, D.W., 2018, Chatter Identification using Multiple Sensors and Multi-Layer Neural Networks, Procedia Manufacturing, 17, pp. 150–157.
Uekita, M., Takaya, Y., 2017, Tool condition monitoring technique for deep-hole drilling of large components based on chatter identification in time–frequency domain, Measurement: Journal of the International Measurement Confederation, 103, pp. 199–207.
Marinković, D., Rama, G., Zehn, M., 2019, Abaqus implementation of a corotational piezoelectric 3-node shell element with drilling degree of freedom, Facta Universitatis-Series Mechanical Engineering, 17(2), pp. 269-283.
Munoa J., Beudaert X., Dombovari Z., et al, 2016, Chatter suppression techniques in metal cutting, CIRP Annals - Manufacturing Technology, 65, pp. 785–808.
Borah, M., Majhi, L., Roy, P., Roy, B. K., 2014,Design of a fractional order pd controller tuned by firefly algorithm for stability control of the nonlinear ball and plate system, In IEEE International Conference on Advanced Communication Control and Computing Technologies, pp. 214-218.
Borah, M., Roy, B. K., 2018, A novel multi-wing fractional-order chaotic system, its synchronisation control and application in secure communication, In 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE), IEEE, pp. 1-6.
Ma, H., Wu, J., Yang, L., Xiong, Z., 2017, Active chatter suppression with displacement-only measurement in turning process, Journal of Sound and Vibration, 401, pp. 255–267.
Marinković, D., Nestorović, T., Marinković, Z., Trajkov, M., 2012, Modelling and simulation of piezoelectric adaptive structures, Transactions of Famena, 36(1), pp. 25-34.
Jang, J.L., Tarng, Y.S., 1999, A study of the active vibration control of a cutting tool, Journal of Materials Processing Technology, 95, pp. 78–82.
Mei, D., Kong, T., Shih, A.J., Chen, Z., 2009, Magnetorheological fluid-controlled boring bar for chatter suppression, Journal of Materials Processing Technology, 209, pp. 1861–1870.
Rama, G., Marinković, D., Zehn, M., 2018, Efficient three-node finite shell element for linear and geometrically nonlinear analyses of piezoelectric laminated structures, Journal of Intelligent Material Systems and Structures, 29 (3), pp. 345-357.
Harms, A., Denkena, B., Lhermet, N., Tools, M., 2004, Tool adaptor for active vibration control in turning operations, Proceedings of the 9th International Conference on New Actuators, pp. 694–697.
Ma, H., Wu, J., Yang, L., Xiong, Z., 2017, Active chatter suppression with displacement-only measurement in turning process, Journal of Sound and Vibration, 401, pp. 255–267.
Delijaicov, S., Yakabu, D.Y., De Macedo, B., Resende, H.B., Batalha, M.H.F., 2018, Characterization of the surface and mechanical properties of the friction stir welding in tri-dissimilar joints with aluminum alloys and titanium alloy, International Journal of Advanced Manufacturing Technology, 95, pp. 1339–1355.
Li, S., Chen, Y., Kang, J., Huang, Y., Gianetto, J.A., Yin. L., 2019, Interfacial microstructures and mechanical properties of dissimilar titanium alloy and steel friction stir butt-welds, Journal of Manufacturing Processes, 40, pp. 160–168.
Skripnyak, V.A., Iokhim, K., Skripnyak, E., Skripnyak, V.V., 2021, Modeling of titanium alloys plastic flow in linear friction welding, Facta Universitatis-Series Mechanical Engineering, 19(1), pp. 091-104.
Zhang, J., Li, K., Hu, J., 2020, Performances Investigation of Ti6Al4V Alloy Modified by Plasma Nitriding + Plasma Enhanced Chemical Vapor Deposition and Laser Remelting Process in Simulated Body Fluid, Metals and Materials International.
Singh, K.K., Kartik, V., Singh, R., 2015, Modeling dynamic stability in high-speed micromilling of Ti-6Al-4V via velocity and chip load dependent cutting coefficients, International Journal of Machine Tools and Manufacture, 96, pp. 56–66.
Khasawneh, F.A., Munch, E., Perea, J.A., 2018, Chatter Classification in Turning using Machine Learning and Topological Data Analysis, IFAC-PapersOnLine, 51, pp. 195–200.
Suresh, P.P., Prathipa, R., Shanmugasundaram, B., 2016, Design and development of two degree of freedom model with PID controller for turning operation, Journal of Measurements in Engineering, 4, pp. 224–231.
Schmitz, T.L., Smith, K.S., 2009, Machining Dynamics, Springer Science & Business Media New York
Tan, L., Jiang, J., 2005, Digital signal processing fundamentals, Elsevier Academic Press, 903 p.
Mo, Y.C., Su, K.Y., Kang, W. Bin, Chen, L.B., Chang, W.J., Liu, Y.H., 2018, An FFT-based high-speed spindle monitoring system for analyzing vibrations, Proceedings of the International Conference on Sensing Technology, ICST, 2017-Decem, pp. 1–4.
Upase, R., Ambhore, N., 2020, Experimental investigation of tool wear using vibration signals: An ANN approach, Materials Today: Proceedings, 24, pp. 1365–1375.
Nguyen, D., 1988, Sliding-Mode Control: Advanced Design Techniques, PhD Thesis, University of Technology, Sydney, 290 p.
Aydin, M.N., Coban, R., 2021, PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system, International Journal of Control.
Iplikci, S., Bayrak, A., Gürsoy, H., Efe, M.Ö., 2017, A novel robust fuzzy control of an uncertain system, Transactions of the Institute of Measurement and Control, 39, pp. 324–333.
Borah, M., & Roy, B. K., 2017, Switching synchronisation control between integer-order and fractional-order dynamics of a chaotic system, In 2017 Indian Control Conference (ICC), pp. 456-461.
Munoa, J., Beudaert, X., Dombovari, Z., Altintas, Y., Budak, E., Brecher, C., Stepan, G., 2016, Chatter suppression techniques in metal cutting, CIRP Annals - Manufacturing Technology, 65, pp. 785–808.
Teti R., Jemielniak, K., O’Donnell, G., Dornfeld, D., 2010, Advanced monitoring of machining operations, CIRP Annals - Manufacturing Technology, 59, pp. 717–739.
Mancisidor, I., Sevillano,P.A., Dombovari, Z., Barcena, R., Munoa, J., 2019, Delayed feedback control for chatter suppression in turning machines, Mechatronics, 63, pp. 102276.
Zaeh, M.F., Kleinwort, R., Fagerer, P., Altintas Y., 2017, Automatic tuning of active vibration control systems using inertial actuators, CIRP Annals - Manufacturing Technology, 66, pp. 365–368.
Guvenc, M. A., Cakir, M., Mistikoglu, S., 2019, Experimental study on optimization of cutting parameters by using Taguchi method for tool vibration and surface roughness in dry turning of AA6013, In 10th International Symposium on Intelligent Manufacturing and Service Systems, pp. 1032-1040.
DOI: https://doi.org/10.22190/FUME210728067G
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