Paper
25 October 2023 Study on test method and experiment of dynamic characteristics of hydrostatic bearing
Jie Tang, Fan Xu, Runlin Chen, Gengzhou Liu, Jianlei Wang, Yahui Cui
Author Affiliations +
Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280121 (2023) https://doi.org/10.1117/12.3007217
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China
Abstract
Based on the dynamic characteristic test methods of hydrostatic bearing, the basic principle and method of the hammering method, influence coefficient method and string wave scanning method are analyzed in this paper. The measurement equations of the above test methods are derived in the dynamic characteristic test. The dynamic characteristics of the hydrostatic bearing were tested by the inverted sliding bearing dynamic characteristics test bench. The stiffness coefficients of bearing can be obtained by the approximate formula. The test results were compared with the theoretical values. The results show that the stiffness coefficients of the hydrostatic bearing can be effectively obtained by the three dynamic characteristics test methods. The error between the test results and the theoretical results of stiffness coefficients is less than 3%. The deviation of the identification results of the three test methods is in the range of -2%~+3%. It is preliminarily proved that the three test methods are feasible to identify the stiffness and damping coefficients of the hydrostatic bearing.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jie Tang, Fan Xu, Runlin Chen, Gengzhou Liu, Jianlei Wang, and Yahui Cui "Study on test method and experiment of dynamic characteristics of hydrostatic bearing", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280121 (25 October 2023); https://doi.org/10.1117/12.3007217
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KEYWORDS
Vibration

Sensors

Frequency response

Analytical research

Elasticity

Signal attenuation

Spindles

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