Title:Applications of Artificial Intelligence in Tribology
VOLUME: 9 ISSUE: 3
Author(s):Yangyang Ji, Jiusheng Bao, Yan Yin and Chi Ma
Affiliation:School of Mechanical and Electrical Engineering, China University of Mining and Technology, No.1 Daxue Road, Xuzhou City, Jiangsu Province, P.R. China.
Keywords:Artificial intelligence, fault diagnosis, friction material, performance prediction, state monitoring, tribology design.
Abstract:Background: Tribological system is a complex nonlinear system. In recent
years, for outstanding ability of analyzing nonlinear problems, the Artificial Intelligence
(AI) has been widely applied in tribology.
Objective: The purpose of this study is to provide an overview of AI and its developments,
and to introduce and analyze how AI technologies are applied to solve complex
nonlinear tribological problems.
Methods: In this study, the applications of AI in tribology were analyzed from three
aspects: design of tribological systems, development of friction materials, and monitoring
and diagnosis of friction and wear behaviors. The research methods and progress
of AI in tribology were summarized as follows: design tribological system; design and optimize
formula of friction materials; analyze typical tribological performance parameters such as friction coefficient,
friction heat and wear rate; monitor and diagnose friction states and wear forms.
Results: In order to improve the efficiency and effectiveness of AI in solving tribological problems, current
development and applications of AI in tribology are provided specifically.
Conclusion: AI technologies are greatly beneficial to solve complex and nonlinear tribological problems.
Owing to that various AI technologies have their advantages and shortcomings, combinations of different
AI technologies must be more effective in solving tribological problems. In this article, various patents
have been discussed.
