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Effect of surface square textures on the physical field of static and dynamic pressure thrust bearings and multi-objective optimization

Xiaodong Yu (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
Guangqiang Shi (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
Weicheng Gao (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
Xinyi Yang (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)

Industrial Lubrication and Tribology

ISSN: 0036-8792

Article publication date: 29 October 2024

Issue publication date: 21 November 2024

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Abstract

Purpose

The lubrication performance of static and dynamic pressure thrust bearings is improved by introducing texture on the sealing edge.

Design/methodology/approach

Through model building, meshing and boundary condition setting, the influence of square texture on oil film lubrication performance was simulated and analyzed, and an improved algorithm was applied to perform optimization of lubrication performance.

Findings

The findings of this study reveal that the optimum lubrication performance is attained when adjusting the parameters of the square texture to 0.12 mm, 0.1 mm, 1 mm and 34 mm. In such circumstances, the thrust bearing with square textures demonstrates an increase in loading capacity of around 19% and a temperature reduction of about 2ºC compared to a smooth thrust bearing.

Originality/value

The original Reynolds equation is revised, and the influence of square texture on the physical field of oil film is analyzed, considering the turbulence state and cavitation phenomenon. The multi-objective function under square texture parameters was established using BP neural network, and the improved multi-objective salp swarm algorithm was used to optimize the process parameters.

Keywords

Acknowledgements

Funding: This project was supported by National Key R&D Program Project (2022YFB3404902).

Citation

Yu, X., Shi, G., Gao, W. and Yang, X. (2024), "Effect of surface square textures on the physical field of static and dynamic pressure thrust bearings and multi-objective optimization", Industrial Lubrication and Tribology, Vol. 76 No. 10, pp. 1294-1307. https://doi.org/10.1108/ILT-06-2024-0198

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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