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02 May 2022
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Published:
02 May 2022
Tribo-informatics approaches in tribology research: A review
Zhinan ZHANG1,2(
)
)
Keywords:
artificial intelligence, machine learning, data-driven, tribo-informatics, information technology
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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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.
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Tribo-informatics approaches in tribology research: A review
Zhinan ZHANG1,2(
)
)
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:
artificial intelligence, machine learning, data-driven, tribo-informatics, information technology
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Publication history
Received: 22 October 2021
Revised: 10 December 2021
Accepted: 08 January 2022
Published:
02 May 2022
Issue date: January 2023
Copyright
© The author(s) 2022.
Acknowledgements
This study is financially supported by the National Natural Science Foundation of China (Grant Nos. 51875343 and 12072091), the Key Fund Project of Equipment Pre Research (Grant No. 61409230607) and State Key Laboratory of Mechanical System and Vibration Project (Grant No. MSVZD202108).
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