Cutter-Oscillator With Single-Degree-Of-Freedom For The Study Of Cutting Vibrations

Yuriy Vnukov; Pavlo Tryshyn; Olena Kozlova; Serhiy Dyadya

doi:10.2478/scjme-2024-0017

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Cutter-Oscillator With Single-Degree-Of-Freedom For The Study Of Cutting Vibrations

Strojnícky časopis - Journal of Mechanical Engineering

Volume 74 (2024): Issue 1 (May 2024)

By: Yuriy Vnukov, Pavlo Tryshyn, Olena Kozlova and Serhiy Dyadya

Open Access

|Jun 2024

Abstract

The work includes theoretical analysis of the design of a single-degree-of-freedom cutter-oscillator. An improved design, allowing for the adjustment of mass and overhang length, is proposed. An experimental stand for recording oscillograms of cutting-edge motion is developed. The proposed approach allows the cutter-oscillator operation to be effectively tuned depending on the cutting conditions. The results provide a flexible system for parameter estimation under different cutting conditions.

References

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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article
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 Back to article

Articles in this issue

DOI: https://doi.org/10.2478/scjme-2024-0017 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

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Language: English

Page range: 169 - 180

Published on: Jun 1, 2024

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

turning,

cutter-oscillator,

single-degree-of-freedom,

regenerative chatter

Related subjects:

Engineering,

Mechanical engineering,

Fundamentals of mechanical engineering,

Mechanics

© 2024 Yuriy Vnukov, Pavlo Tryshyn, Olena Kozlova, Serhiy Dyadya, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 74 (2024): Issue 1 (May 2024)