The triboelectric effect,known since ancient Greece,is the accumulation of electric charges due to electron transfer when materials contact and separate.With technological advancements,the triboelectric effect has bee...The triboelectric effect,known since ancient Greece,is the accumulation of electric charges due to electron transfer when materials contact and separate.With technological advancements,the triboelectric effect has been applied in energy harvesting equipment,sensors,and smart devices,including triboelectric nanogenerators(TENGs).This effect shows potential for sustainable energy and next-generation intelligent systems.Triboelectric systems,as a type of tribological system,require state monitoring,behavior prediction,and system optimization.Tribo-informatics is an interdisciplinary field that combines tribology and informatics.By clarifying information representations and flows within tribological systems,tribo-informatics addresses the connections between physical tribological systems and embedded information systems.With a focus on the triboelectric effect,this paper proposes a method for information representation in triboelectric systems from a tribo-informatics perspective and suggests a research approach based on tribo-informatics to achieve research goals.The aim is to enable researchers to collect,process,and analyze tribological information more effectively to achieve specific research objectives.展开更多
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 increas...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.展开更多
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 ...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.展开更多
Electrical contact interfaces,integral to devices such as connectors,switches,and conductive slip rings,play a crucial role in determining current-carrying capabilities.This study adopts spatial frequency analysis to ...Electrical contact interfaces,integral to devices such as connectors,switches,and conductive slip rings,play a crucial role in determining current-carrying capabilities.This study adopts spatial frequency analysis to assess the currentcarrying performance of interfaces based on their morphological characteristics.Initially,rough surfaces with various parameters,including the cutoff frequency(N),the spectral index(β),and the gain factor(A),were generated using spatial frequency methods,followed by current-carrying simulations.The findings reveal that the characteristic parameters derived from spatial frequency methods exhibit a significantly stronger correlation with current-carrying performance than traditional roughness metrics.To enhance the practical applicability of this research,a physical-informed machine learning approach for rough surface features extraction was developed,demonstrating high predictive parameter identification accuracy for the three parameters.Overall,this paper introduces a tribo-informatics approach for analyzing and extracting rough surface features that considers the curvature characteristics of contact points.This approach holds significant potential for evaluating the processing state of current-carrying interfaces,selecting high-quality surfaces,and forecasting current-carrying performances.展开更多
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.Tribolog...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.展开更多
基金supported by the National Natural Science Foundation of China(Nos.12072191 and 51875343)the Open Fund of Space Drive and Manipulation Mechanism Laboratory(No.BICE-SDMML-2022-04)the Science and Technology Commission of Shanghai Municipality(No.24DZ2307500).
文摘The triboelectric effect,known since ancient Greece,is the accumulation of electric charges due to electron transfer when materials contact and separate.With technological advancements,the triboelectric effect has been applied in energy harvesting equipment,sensors,and smart devices,including triboelectric nanogenerators(TENGs).This effect shows potential for sustainable energy and next-generation intelligent systems.Triboelectric systems,as a type of tribological system,require state monitoring,behavior prediction,and system optimization.Tribo-informatics is an interdisciplinary field that combines tribology and informatics.By clarifying information representations and flows within tribological systems,tribo-informatics addresses the connections between physical tribological systems and embedded information systems.With a focus on the triboelectric effect,this paper proposes a method for information representation in triboelectric systems from a tribo-informatics perspective and suggests a research approach based on tribo-informatics to achieve research goals.The aim is to enable researchers to collect,process,and analyze tribological information more effectively to achieve specific research objectives.
基金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)State Key Laboratory of Mechanical System and Vibration Project(Grant No.MSVZD202108).
文摘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.
基金supported by the National Natural Science Foundation of China(12072191,U1637206,and 51935007)the State Key Laboratory of Mechanical System and Vibration Project(MSVZD201912)the Equipment Pre Research Project(61409230611).
文摘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.
基金supported by the National Natural Science Foundation of China(Grant Nos.12072191,51875343)Science and Technology Commission of Shanghai Municipality(Grant No.24DZ2307500).
文摘Electrical contact interfaces,integral to devices such as connectors,switches,and conductive slip rings,play a crucial role in determining current-carrying capabilities.This study adopts spatial frequency analysis to assess the currentcarrying performance of interfaces based on their morphological characteristics.Initially,rough surfaces with various parameters,including the cutoff frequency(N),the spectral index(β),and the gain factor(A),were generated using spatial frequency methods,followed by current-carrying simulations.The findings reveal that the characteristic parameters derived from spatial frequency methods exhibit a significantly stronger correlation with current-carrying performance than traditional roughness metrics.To enhance the practical applicability of this research,a physical-informed machine learning approach for rough surface features extraction was developed,demonstrating high predictive parameter identification accuracy for the three parameters.Overall,this paper introduces a tribo-informatics approach for analyzing and extracting rough surface features that considers the curvature characteristics of contact points.This approach holds significant potential for evaluating the processing state of current-carrying interfaces,selecting high-quality surfaces,and forecasting current-carrying performances.
基金the National Natural Science Foundation of China(Grant Nos.12072191,51875343,and 51575340)State Key Laboratory of Mechanical System and Vibration Project(Grant Nos.MSVZD202108,MSVZD201912)the Shanghai Academy of Space Technology-Shanghai Jiao Tong University Joint Research Center of Advanced Aerospace Technology(Grant Nos.USCAST2020-36,USCAST2022-15).
文摘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.
