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Volume 11
Issue 2
10.3390/lubricants11020036
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Review

Review of the State-of-the-Art Application of the Quantitative Structure Tribo-Ability Relationship Model of Lubricants in China

by
Xinlei Gao
1,*,
Miaomiao Shi
1,
Tingting Wang
1,
Li Wu
2 and
Hao Chen
1
1
School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, China
2
School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Lubricants 2023, 11(2), 36; https://doi.org/10.3390/lubricants11020036
Submission received: 22 November 2022 / Revised: 6 January 2023 / Accepted: 16 January 2023 / Published: 19 January 2023
(This article belongs to the Special Issue State-of-the-Art of Tribology in China)
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Abstract

In recent years, lubricant research has developed from empirical to theoretical, from descriptive to rational, from qualitative to quantitative, and from macroscopic to microscopic studies. This review presents the new concept of the quantitative structure tribo-ability relationship (QSTR) derived from the basic principles of quantitative structure activity relationship (QSAR) theory and reviews the latest advances in research on basic problems of the QSTR of lubricants. Specifically, it highlights a series of recent studies conducted by Chinese scholars and future prospects related to these works. It is noted that the study of lubricants involves many related issues, such that there may be omissions in this review. Additionally, the research topics of the quantitative tribo-ability relationship of lubricants covered in this review are mainly mentioned to introduce various modeling methods, and there may be many similar works that are not covered in this review. Despite these limitations, it is hoped that the described QSTR method will become a useful tool and serve as a reference for tribology research groups in the future.
Keywords: tribology; lubricant; quantitative structure tribo-ability relationship model; friction; wear tribology; lubricant; quantitative structure tribo-ability relationship model; friction; wear

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MDPI and ACS Style

Gao, X.; Shi, M.; Wang, T.; Wu, L.; Chen, H. Review of the State-of-the-Art Application of the Quantitative Structure Tribo-Ability Relationship Model of Lubricants in China. Lubricants 2023, 11, 36. https://doi.org/10.3390/lubricants11020036

AMA Style

Gao X, Shi M, Wang T, Wu L, Chen H. Review of the State-of-the-Art Application of the Quantitative Structure Tribo-Ability Relationship Model of Lubricants in China. Lubricants. 2023; 11(2):36. https://doi.org/10.3390/lubricants11020036

Chicago/Turabian Style

Gao, Xinlei, Miaomiao Shi, Tingting Wang, Li Wu, and Hao Chen. 2023. "Review of the State-of-the-Art Application of the Quantitative Structure Tribo-Ability Relationship Model of Lubricants in China" Lubricants 11, no. 2: 36. https://doi.org/10.3390/lubricants11020036

APA Style

Gao, X., Shi, M., Wang, T., Wu, L., & Chen, H. (2023). Review of the State-of-the-Art Application of the Quantitative Structure Tribo-Ability Relationship Model of Lubricants in China. Lubricants, 11(2), 36. https://doi.org/10.3390/lubricants11020036

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