Can I read AI for tribology: Present and future on EtoBox?

AI for tribology: Present and future by Nian Yin; Pufan Yang; Songkai Liu; Shuaihang Pan; Zhinan Zhang is a Engineering article available to read on EtoBox.

What is AI for tribology: Present and future about?

## Abstract With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI) can assist researchers in swiftly extracting valuable patterns, trends, and associations from subjective information. Tribological behaviors are characterized by dependence on systems, evolution with time, and multidisciplinary coupling. The friction process involves a variety of phenomena, including mechanics, thermology, electricity, optics, magnetics, and so on. Hence, tribological information possesses the distinct characteristics of being multidisciplinary, multilevel, and multiscale, so that the application of AI in tribology is highly extensive. To delineate the scope, classification, and recent trends of AI implementation in tribology, this review embarks on exploration of the tribology research domain. It comprehensively outlines the utilization of AI in basic theory of tribology, intelligent tribology, component tribology, extreme tribology, bio-tribology, green tribology, and other fields. Finally, considering the emergence of “tribo-informatics” as a novel interdisciplinary field, which combines tribology with informatics, this review elucidates the future direct

Who reads AI for tribology: Present and future?

Author

Nian Yin; Pufan Yang; Songkai Liu; Shuaihang Pan; Zhinan Zhang

Publisher

Springer Science and Business Media LLC

Published

2024

Language

EN

Field

Engineering (Physical Sciences)