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Review Article | Open Access

Tribo-informatics approaches in tribology research: A review

Nian YIN1,2, Zhiguo XING3, Ke HE1,2, Zhinan ZHANG1,2( )
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
National Key Laboratory for Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China
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Abstract

Tribology research mainly focuses on the friction, wear, and lubrication between interacting surfaces. With the continuous increase in the industrialization of human society, tribology research objects have become increasingly extensive. Tribology research methods have also gone through the stages of empirical science based on phenomena, theoretical science based on models, and computational science based on simulations. Tribology research has a strong engineering background. Owing to the intense coupling characteristics of tribology, tribological information includes subject information related to mathematics, physics, chemistry, materials, machinery, etc. Constantly emerging data and models are the basis for the development of tribology. The development of information technology has provided new and more efficient methods for generating, collecting, processing, and analyzing tribological data. As a result, the concept of "tribo-informatics (triboinformatics)" has been introduced. In this paper, guided by the framework of tribo-informatics, the application of tribo-informatics methods in tribology is reviewed. This article aims to provide helpful guidance for efficient and scientific tribology research using tribo-informatics approaches.

Keywords

tribo-informaticsdata-drivenartificial intelligenceinformation technologymachine learning

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Friction
Volume 11 Issue 1,
January 2023
Pages 1-22
DOI: 10.1007/s40544-022-0596-7
Cite this article:
YIN N, XING Z, HE K, et al. Tribo-informatics approaches in tribology research: A review. Friction, 2023, 11(1): 1-22. https://doi.org/10.1007/s40544-022-0596-7

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Received: 22 October 2021
Revised: 10 December 2021
Accepted: 08 January 2022
Published: 02 May 2022
© The author(s) 2022.

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