Cutter-Oscillator with Single-Degree-of-Freedom for the Study of Cutting Vibrations

[1] Altintas, Y., Stepan, G., Budak, E., Schmitz, T., Kilic, J. Z. M. “Chatter Stability of Machining Operations”, Manuf. Sci. Eng. 142 (11), 110801, 2020. DOI: 10.1115/1.4047391. Search in Google Scholar

[2] Munoa, J., Beudaert, X., Dombovari, Z., Altintas, Y., Budak, E., Brecher, C., Stepan, G. “Chatter suppression techniques in metal cutting”, CIRP Annals 65 (2), pp. 785 – 708, 2016. DOI: 10.1016/j.cirp.2016.06.004. Search in Google Scholar

[3] Boulanouar, S., Ahmed, H., Rachid, B., Abdellah, K. “Fuzzy prognosis system for decision making to vibrations monitoring in gas turbine”, Strojnícky časopis – Journal of Mechanical Engineering 71 (2), pp. 239 – 256, 2021. DOI: 10.2478/scjme-2021-0033 Search in Google Scholar

[4] Žiaran, S., Chlebo, O. “Determination of bearing quality using frequency vibration analysis”, Strojnícky časopis – Journal of Mechanical Engineering 71 (2), pp. 343 – 350, 2021. DOI: 10.2478/scjme-2021-0040 Search in Google Scholar

[5] Glazyrin, V., Ruzbarsky, J., Nikitin, Y., Bozek, P., Thomas De Silva, W. “Study Of Dynamic Processes During The Finishing Of Spherical Parts Made Of Difficult-To-Machine Materials”, MM Science Journal 3, рp. 5937 – 5942, 2022. DOI: 10.17973/MMSJ.2022_10_2022013 Search in Google Scholar

[6] Li, K., He, S., Li, B., Liu, H., Mao, X., Shi, Ch. “A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting”, Mechanical Systems and Signal Processing 135, 106385, 2020. DOI: 10.1016/j.ymssp.2019.106385 Search in Google Scholar

[7] Emami, M., Karimipour, A. “Theoretical and experimental study of the chatter vibration in wet and MQL machining conditions in turning process”, Precision Engineering 72, pp. 41 – 58, 2021. DOI: 10.1016/j.precisioneng.2021.04.006 Search in Google Scholar

[8] Guang, Y., Liping, W., Jun, W., Ying, G. “Milling stability prediction of a hybrid machine tool considering low-frequency dynamic characteristics”, Mechanical Systems and Signal Processing 135, 106364, 2020. DOI: 10.1016/j.ymssp.2019.106364 Search in Google Scholar

[9] Wan, Sh., Li, X., Su, W., Yuan, J., Hong, J. “Active chatter suppression for milling process with sliding mode control and electromagnetic actuator”, Mechanical Systems and Signal Processing 136, 106528, 2020. DOI: 10.1016/j.ymssp.2019.106528. Search in Google Scholar

[10] Liao, Y., Ragai, I., Huang, Z., Kerner, S. “Manufacturing process monitoring using time-frequency representation and transfer learning of deep neural networks”, Journal of Manufacturing Processes 68, Part A, pp. 231 – 248, 2021. DOI: 10.1016/j.jmapro.2021.05.046 Search in Google Scholar

[11] Gök, F., Orak, S., Sofuoğlu, M. A. “The effect of cutting tool material on chatter vibrations and statistical optimization in turning operations”, Soft Computing 24, pp. 17319 – 17331, 2020. DOI: 10.1007/s00500-020-05022-3. Search in Google Scholar

[12] Shrivastava, Y., Singh, B. “A comparative study of EMD and EEMD approaches for identifying chatter frequency in CNC turning”, European Journal of Mechanics - A/Solids 73, pp. 381 – 393, 2019. DOI: 10.1016/j.euromechsol.2018.10.004 Search in Google Scholar

[13] Cao, L., Zhang, X., Huang, T., Zhang, X., Ding, H. “An adaptive chatter signal enhancement approach for early fault diagnosis in machining process”, Procedia CIRP 82, pp. 308 – 313, 2019. DOI: 10.1016/j.procir.2019.03.273. Search in Google Scholar

[14] Albertelli, P., Braghieri, L., Torta, M., Monno, M. “Development of a generalized chatter detection methodology for variable speed machining”, Mechanical Systems and Signal Processing 123, pp. 26 – 42, 2019. DOI: 10.1016/j.ymssp.2019.01.002 Search in Google Scholar

[15] Nakano, Y., Kishi, T., Takahara, H. “Experimental Study on Application of Tuned Mass Dampers for Chatter in Turning of a Thin-Walled Cylinder”, Applied Sciences 11 (24), 12070, 2021. DOI: 10.3390/app112412070 Search in Google Scholar

[16] Aslan, D., Altintas, Y. “On-line chatter detection in. milling using drive motor current commands extracted from CNC”, International Journal of Machine Tools and Manufacture 132, pp. 64 – 80, 2018. DOI: 10.1016/j.ijmachtools.2018.04.007 Search in Google Scholar

[17] Luo, M., Luo, H., Axinte, D., Liu, D., Mei, J., Liao, Z. “A wireless instrumented milling cutter system with embedded PVDF sensors”, Mechanical Systems and Signal Processing 110, pp. 556 – 568, 2018. DOI: 10.1016/j.ymssp.2018.03.040 Search in Google Scholar

[18] Zhu, L., Liu, Ch. “Recent progress of chatter prediction, detection and suppression in milling”, Mechanical Systems and Signal Processing 143, 106840, 2020. DOI: 10.1016/j.ymssp.2020.106840. Search in Google Scholar

[19] Kounta, Ch. A. K. A., Arnaud, L., Kamsu-Foguem, B., Tangara, F. “Deep learning for the detection of machining vibration chatter”, Advances in Engineering Software 180, 103445, 2023. DOI: 10.1016/j.advengsoft.2023.103445 Search in Google Scholar

[20] Papandrea, P. J., Frigieri, E. P., Maia, P. R., Oliveira, L. G., Paiva, A. P. “Surface roughness diagnosis in hard turning using acoustic signals and support vector machine: A PCA-based approach”, Applied Acoustics 159, 107102, 2020. DOI: 10.1016/j.apacoust.2019.107102 Search in Google Scholar

[21] Zhu, L., Liu, Ch. “Recent progress of chatter prediction, detection and suppression in milling”, Mechanical Systems and Signal Processing 143, 106840, 2020. DOI: 10.1016/j.ymssp.2020.106840. Search in Google Scholar

[22] Emami, M., Karimipour, A. “Theoretical and experimental study of the chatter vibration in wet and MQL machining conditions in turning process”, Precision Engineering 72, pp. 41 – 58, 2021. DOI: 10.1016/j.precisioneng.2021.04.006 Search in Google Scholar

[23] Li, K., He, S., Liu, H., Mao, X., Li, B., Luo, B. “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe”, Mechanical Systems and Signal Processing 138, 106532, 2020. DOI: 10.1016/j.ymssp.2019.106532 Search in Google Scholar

[24] Fallah, M., Moetakef-Imani, B. “Adaptive inverse control of chatter vibrations in internal turning operations”, Mechanical Systems and Signal Processing 129, pp. 91 – 111, 2019. DOI: 10.1016/j.ymssp.2019.04.007 Search in Google Scholar

[25] Yuvaraju, B.A.G., Srinivas, J., Nanda, B.K. “Nonlinear dynamics of friction-induced regenerative chatter in internal turning with process damping forces”, Journal of Sound and Vibration 544, 117386, 2023. DOI: 10.1016/j.jsv.2022.117386/ Search in Google Scholar

[26] Nam, S., Hayasaka, T., Jung, H., Shamoto, E. “Proposal of novel chatter stability indices of spindle speed variation based on its chatter growth characteristics”, Precision Engineering 62, pp. 121 – 133, 2020. DOI: 10.1016/j.precisioneng.2019.11.018 Search in Google Scholar

[27] Ma, H., Wu, J., Xiong, Zh. “Active chatter control in turning processes with input constraint”, The International Journal of Advanced Manufacturing Technology 108, pp. 3737 – 3751, 2020. DOI: 10.1007/s00170-020-05475-8 Search in Google Scholar

[28] Stepan, G., Beri, B., Miklos, A., Wohlfart, R., Bachrathy, D., Porempovics, G., Toth, A., Takacs, D. “On stability of emulated turning processes in HIL environment”, CIRP Annals 68 (1), pp. 405 – 408, 2019. DOI: 10.1016/j.cirp.2019.04.035 Search in Google Scholar