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Friction 2024年第6期12卷 1060-1097页

作者： Nian YIN Pufan YANG Songkai LIU Shuaihang PAN Zhinan ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA

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 directions and research framework of"AI for tribology".In this paper,tribo-system information is divided into 5 categories:input information(I),system intrinsic information(S),output information(O),tribological state information(Ts),and derived state information(Ds).Then,a fusion method among 5 types of tribo-system information and different AI technologies(regression,classification,clustering,and dimension reduction)has been proposed,which enables tribo-informatics methods to solve common problems such as tribological behavior state monitoring,behavior prediction,and system optimization.The purpose of this review is to offer a systematic comprehension of tribo-informatics and to inspire new research ideas of tribo-informatics.Ultimately,it aspires to enhance the efficiency of problem-solving in tribology.

关键词： artificial intelligence(AI) tribology machine learning tribo-informatics AI for tribology

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tribo-informatics approaches in tribology research:A review

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Friction 2023年第1期11卷 1-22页

作者： Nian YIN Zhiguo XING Ke HE Zhinan ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China National Key Laboratory for Remanufacturing Army Academy of Armored ForcesBeijing 100072China

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.

关键词： tribo-informatics data-driven artificial intelligence information technology machine learning

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tribo-informatics:Concept,architecture,and case study

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Friction 2021年第3期9卷 642-655页

作者： Zhinan ZHANG Nian YIN Shi CHEN Chengliang LIU Stake Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Friction plays a vital role in energy dissipation,device failure,and even energy supply in modern society.After years of research,data and information on tribology research are becoming increasingly available.Because of the strong systematic and multi-disciplinary coupling characteristics of tribology,tribology information is scattered in various disciplines with different patterns,e.g.,technical documents,databases,and papers,thereby increasing the information entropy of the system,which is inconducive to the preservation and circulation of research information.With the development of computer and information science and technology,many subjects have begun to be combined with information technology,and multi-disciplinary informatics has been born.This paper describes the combination of information technology with tribology research,presenting the connotation and architecture of tribo-informatics,and providing a case study on implementing the proposed concept and architecture.The proposal and development of tribo-informatics described herein will improve the research efficiency and optimize the research process of tribology,which is of considerable significance to the development of this field.

关键词： tribo-informatics database tribology information technology

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