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Study for the Identification of Dominant Frequencies and Sensitive Structure on Machine Tools Using Modal Decoupling and Structural Sensitivity Analysis

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Abstract

Background

The research on machine tool vibration has significant impact to improve the processing quality of the processed parts. The vibration response on the surface quality is quite different based on different modes of vibration.

Purpose

Current study proposed a new approach of modes decoupling based on Operational Deflection Shape (ODS) and structural sensitivity analysis, which used to identify the structural vibrations on surface topography in manufacturing process. Method According to the modes decoupling based on the ODS method, the dominant vibration frequencies of machine tool are identified in a wide range of frequency band. Furthermore, the modal mass distribution matrix analysis is used to determine the sensitive structures that cause greater machining errors. A milling process is used to conduct experiments.

Results

The experimental and theoretical results indicate that (i) the contribution of dominant vibration frequency to the vibration of machine tool is larger than weak modes vibration and (ii) the sensitive structure has higher vibration energy than the insensitive structures.

Conclusion

The multimode vibration at dominant frequencies of the sensitive structures (MVDFSS) directly can determine the surface topography of the products.

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Acknowledgements

This work is supported by the National Nature Science Foundation of China under Grant no. 51505084, and the National Natural Science Foundation of Guangdong, China under Grant no. 2016A030313133, and the Research start-up funds of DGUT under Grant no. GC300502-61, and the Guangdong Provincial Key Laboratory construction project of China under Grant nos. 2011A060901026 and 2017B030314146).

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Authors and Affiliations

  1. School of Mechanical Engineering, Dongguan University of Technology, Dongguan, 523808, Guangdong, China

    Ling Yin, Fei Zhang & Zirong Zhou

  2. College of Mechanical Engineering, Huazhong University of Science and Technology, Wuhan, China

    Quanxin Liu

  3. Department of Industrial Engineering, University of Engineering and Technology, Taxila, Pakistan

    Saif Ullah

Authors
  1. Ling Yin
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  2. Quanxin Liu
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  3. Fei Zhang
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  4. Zirong Zhou
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  5. Saif Ullah
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Correspondence to Fei Zhang.

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Yin, L., Liu, Q., Zhang, F. et al. Study for the Identification of Dominant Frequencies and Sensitive Structure on Machine Tools Using Modal Decoupling and Structural Sensitivity Analysis. J. Vib. Eng. Technol. 7, 507–517 (2019). https://doi.org/10.1007/s42417-019-00172-7

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  • DOI: https://doi.org/10.1007/s42417-019-00172-7

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