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Identification and evaluation for the dynamic signals caused by pressure fluctuation of aerostatic slider

Dongju Chen (College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China)
Jihong Han (College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China)
Xianxian Cui (College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China)
Jinwei Fan (Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 3 July 2018

Issue publication date: 17 August 2018

106

Abstract

Purpose

To identify the dynamic feature of the aerostatic slider caused by gas film, an evaluation system by a piezoelectric acceleration sensor is presented in time and frequency domain.

Design/methodology/approach

The dynamic pressure fluctuation is evaluated by the wavelet transform, cross correlation analysis and power spectral density (PSD). Wavelet transform is used to process the measured result of the aerostatic slider and the signal is decomposed into high-frequency and low-frequency signal. Correlation analysis method is used to evaluate the impact of the initial gas gap on the fluctuation in time domain.

Findings

According to the PSD analysis of the processed signal in the frequency domain, the natural frequency of the aerostatic slider is identified from the measured signal in frequency domain; this method provides a basis for the identification of guideway errors.

Research limitations/implications

The method can also be applied to the error identification of other components of the machine tool.

Originality/value

Wavelet transform is used to process the measured result of the aerostatic slider by acceleration sensor, and the signal is decomposed into high-frequency and low-frequency signal. Correlation analysis method is used to evaluate the impact of the initial gas gap on the fluctuation in time domain. According to the PSD analysis of the processed signal in the frequency domain, the natural frequency of the aerostatic slider is identified from the measured signal in frequency domain; this method provides a basis for the identification of slider errors.

Keywords

Acknowledgements

The authors thank the anonymous reviewers for their critical and constructive review of the manuscript. This study was supported by the National Natural Science Foundation of China Grant 51475010, Beijing Nova program (Z161100004916156). Natural Science Foundation of Beijing Municipality (Grant No. 3142005).

Author contributions: Dongju Chen decomposed the test signal and performed the cross-correlation analysis, she helped us complete the method and arrange the structure of the paper. Jihong Han and Xianxian Cui carried on the modal analysis and PSD analysis and conducted the experiment of the acceleration sensor test. Chenhui AN analyzed the gas flow in the slider and simulated the pressure fluctuation in different cases.

Conflicts of Interest: The authors declare no conflict of interest.

Citation

Chen, D., Han, J., Cui, X. and Fan, J. (2018), "Identification and evaluation for the dynamic signals caused by pressure fluctuation of aerostatic slider", Industrial Lubrication and Tribology, Vol. 70 No. 6, pp. 927-934. https://doi.org/10.1108/ILT-11-2016-0271

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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