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Optimization research on the lubrication characteristics for friction pairs surface of journal bearings with micro texture

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Abstract

In the mechanical tribology research, reasonable and effective improvement of lubrication performance for friction pairs of sleeve bearings is one of the hot topics, surface micro texture processing technology has gradually become an important way to improve the lubrication performance of friction pairs. Taking the friction pair model of infinite wide bearing as the research object, the Reynolds equation on the fluid lubrication of the friction pair is established. According to the static characterization equation of the micro texture friction pair, the influence of the depth and the coverage rate of micro texture on the lubrication performance of the friction pair is studied. According to the theoretical analysis, in order to simulate the actual contact condition of the sleeve bearing friction pair more truly, 45 steel is selected as friction material to prepare the ring–ring contact friction pair. The micro textures of a certain shape are machined on the surface of the specimen by laser micro carving, and the friction and wear experiments are carried out by universal friction tester. Theoretical analysis and experimental results show that the lubrication performance of friction pair with reasonable distribution of micro texture is improved obviously, and the reasonable selection of micro texture depth and coverage rate can effectively improve the friction properties of friction pairs.

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Acknowledgements

This work was supported by the grant from China Postdoctoral Science Foundation funded project (No. 2017M612304), Shandong Provincial Postdoctoral Innovation Foundation (No. 201701016), supported by SDUST Research Fund (No. 2015JQJH104), Qingdao Postdoctoral Research funded project, Key Laboratory of High-efficiency and Clean Mechanical Manufacture at Shandong University, Ministry of Education, Key Research, National Natural Science Foundation of China (No. 51305242).

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Lili Wang, Shaohui Guo, Yuliang Wei, Guoteng Yuan & Huan Geng

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  1. Lili Wang
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  2. Shaohui Guo
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  3. Yuliang Wei
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  4. Guoteng Yuan
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  5. Huan Geng
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Correspondence to Lili Wang.

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Wang, L., Guo, S., Wei, Y. et al. Optimization research on the lubrication characteristics for friction pairs surface of journal bearings with micro texture. Meccanica 54, 1135–1148 (2019). https://doi.org/10.1007/s11012-019-01015-1

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