Tribo-informatics empowered research on triboelectrification  

作　　者：Nian Yin Zhangli Hou Xin Wang Shumin Zhang Zhinan Zhang 

机构地区：[1]Stake Key Laboratory of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240,China [2]School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [3]Beijing Key Laboratory of Long-Life Technology of Precise Rotation and Transmission Mechanisms,Beijing Institute of Control Engineering,Beijing 10009,China

出　　处：《Friction》2025年第2期121-129,共9页摩擦(英文版)

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).

摘　　要：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.

关 键 词：tribo-informatics TRIBOELECTRIFICATION artificial intelligence machine learning 

分 类 号：TH117[机械工程—机械设计及理论]