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Research on dominant vibration mode analysis of machining process of machine tools

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Abstract

The structural vibration and dominant vibration characteristics of the machining process of machine tools have an important influence on the machining quality and efficiency. The dominant vibration characteristics are related to two factors: the dynamic characteristics of the machine tool structure and the excitation characteristics of the system. In the dynamic process of structural vibration, the participations of various modes in a certain frequency domain are often different in the vibration process; that is to say, not all modes can be excited equally, only a certain mode or some of the modes may play a major role in the specific processing conditions and dominate. Thus, these modes are called the dominant vibration modes. Therefore, this paper proposes a method of modal response signal prediction and dominant vibration mode identification under the cutting state of machine tool and studies the dominant vibration characteristics of the machine tool structure under cutting conditions. A dynamic system modeling method based on state space and modal decoupling theory is proposed. The Kalman filter algorithm is used to predict the modal response signal of the machine tool during cutting process, and the modal participation degree is analyzed based on the predicted modal response signal. In this way, the dominant vibration mode of the machine tool structure is analyzed.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China under Grant No. 51566004 and 51775210, and the Major special projects in Jiangsu Province of China under Grant No.SBE2017020146. The authors are grateful to other participants of the project for their cooperation.

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Authors and Affiliations

  1. Department of Mechanical and Materials Engineering, Jiujiang University, Jiujiang, 332005, People’s Republic of China

    Qiang Huang & Jun Li

  2. National NC System Engineering Research Center, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, People’s Republic of China

    Jianwen Liao & Ji Zhou

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  1. Qiang Huang
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  2. Jianwen Liao
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  3. Ji Zhou
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  4. Jun Li
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Correspondence to Qiang Huang.

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Huang, Q., Liao, J., Zhou, J. et al. Research on dominant vibration mode analysis of machining process of machine tools. Int J Adv Manuf Technol 109, 275–287 (2020). https://doi.org/10.1007/s00170-020-05654-7

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  • DOI: https://doi.org/10.1007/s00170-020-05654-7

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