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Friction 2023, 11(5): 685-703 https://doi.org/10.1007/s40544-022-0643-4
Research Article | Open Access | Issue | Published: 06 January 2023

Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum

Show Author's Information Changxiong NING1,  Fei HU1,  Wu OUYANG2,3( ),  Xinpin YAN2,3,  Dongling XU4
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Reliability Engineering Institute, National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
Alliance Manchester Business School, The University of Manchester, Manchester M156PB, UK
Keywords:
differential evolution, wear monitoring, water-lubricated polymer thrust bearings, ultrasonic reflection coefficient amplitude spectrum, parameter inversion
Cite this article:
NING C, HU F, OUYANG W, et al. Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum. Friction, 2023, 11(5): 685-703. https://doi.org/10.1007/s40544-022-0643-4
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Abstract Full text About this article

The water-lubricated thrust bearings of the marine rim-driven thruster (RDT) are usually composed of polymer composites, which are prone to serious wear under harsh working conditions. Ultrasonic is an excellent non-destructive monitoring technology, but polymer materials are characterized by viscoelasticity, heterogeneity, and large acoustic attenuation, making it challenging to extract ultrasonic echo signals. Therefore, this paper proposes a wear monitoring method based on the amplitude spectrum of the ultrasonic reflection coefficient. The effects of bearing parameters, objective function, and algorithm parameters on the identification results are simulated and analyzed. Taking the correlation coefficient and root mean square error as the matching parameters, the thickness, sound velocity, density, and attenuation factor of the bearing are inversed simultaneously by utilizing the differential evolution algorithm (DEA), and the wear measurement system is constructed. In order to verify the identification accuracy of this method, an accelerated wear test under heavy load was executed on a multi-functional vertical water lubrication test rig with poly-ether-ether-ketone (PEEK) fixed pad and stainless-steel thrust collar as the object. The thickness of pad was measured using the high-precision spiral micrometer and ultrasonic testing system, respectively. Ultimately, the results demonstrate that the thickness identification error of this method is approximately 1%, and in-situ monitoring ability will be realized in the future, which is of great significance to the life prediction of bearings.


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About this article

Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum

Show Author's information Changxiong NING1, Fei HU1, Wu OUYANG2,3( ), Xinpin YAN2,3, Dongling XU4
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Reliability Engineering Institute, National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
Alliance Manchester Business School, The University of Manchester, Manchester M156PB, UK

Abstract

The water-lubricated thrust bearings of the marine rim-driven thruster (RDT) are usually composed of polymer composites, which are prone to serious wear under harsh working conditions. Ultrasonic is an excellent non-destructive monitoring technology, but polymer materials are characterized by viscoelasticity, heterogeneity, and large acoustic attenuation, making it challenging to extract ultrasonic echo signals. Therefore, this paper proposes a wear monitoring method based on the amplitude spectrum of the ultrasonic reflection coefficient. The effects of bearing parameters, objective function, and algorithm parameters on the identification results are simulated and analyzed. Taking the correlation coefficient and root mean square error as the matching parameters, the thickness, sound velocity, density, and attenuation factor of the bearing are inversed simultaneously by utilizing the differential evolution algorithm (DEA), and the wear measurement system is constructed. In order to verify the identification accuracy of this method, an accelerated wear test under heavy load was executed on a multi-functional vertical water lubrication test rig with poly-ether-ether-ketone (PEEK) fixed pad and stainless-steel thrust collar as the object. The thickness of pad was measured using the high-precision spiral micrometer and ultrasonic testing system, respectively. Ultimately, the results demonstrate that the thickness identification error of this method is approximately 1%, and in-situ monitoring ability will be realized in the future, which is of great significance to the life prediction of bearings.

Keywords: differential evolution, wear monitoring, water-lubricated polymer thrust bearings, ultrasonic reflection coefficient amplitude spectrum, parameter inversion

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Publication history
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Publication history

Received: 26 August 2021
Revised: 15 November 2021
Accepted: 29 April 2022
Published: 06 January 2023
Issue date: May 2023

Copyright

© The author(s) 2022.

Acknowledgements

This study is supported by the National Key R&D Program of China (No. 2018YFE0197600), the European Union’s Horizon 2020 Research and Innovation Programme RISE under Grant Agreement No. 823759 (REMESH), and the National Natural Science Foundation of China (No. 52071244).

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