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Friction 2022年第12期10卷 1927-1966页

作者： Wenhu XU Shuaike YU Min ZHONG School of Mechatronics Engineering Key Laboratory of TribologyNanchang UniversityNanchang 330031China

Food entering the oral cavity undergoes a series of complex processing *** is subjected to compression and shearing by the teeth,tongue,and palate to reduce its size and mix with saliva until it is *** oral processing behaviors are thought to be closely related to both food and oral frictional *** effort has been made in recent decades about food oral tribology to explore this complicated lubrication *** the lubrication mechanism of food in the mouth is important for improving the consumption experience and developing the novel *** paper provides a new perspective on the effects of composition,texture,structure,and saliva-food component interactions on lubrication properties of different foods,the relationship between sensory perception and oral frictional behavior,and the mechanism and pattern of lubrication categorized by common food *** roles of tribology in the improvement of food taste,the search for healthier ingredient substitutes,functional foods,and the development of green foods are *** and numerical prediction models among physical properties,sensory perception,and frictional behavior of food are *** of simulating oral processing,such as the selection of friction pair materials,physical modification of contact surfaces,addition of saliva,different modes of motion,and contact forms are concluded and *** progress of commercial friction apparatus as well as customized friction devices applied to the food sector in recent years are *** characteristics,performances,and applications of these tribological instruments are analyzed and *** addition,the results achieved by oral tribology in identifying adulterated foods and ensuring food safety are ***,some suggestions are put forward for the current challenges and future development of food oral tribology.

关键词： food oral tribology in vitro friction tests lubrication behavior Stribeck curve sensory perception food development and detection

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基于摩擦伏特效应的超滑表征技术

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Science Bulletin 2024年第9期69卷 1197-1201页

作者：王昭政高凯冯源曹杰宫礼坤范贝贝张毅解国新张弛 CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China State key laboratory of tribology in Advanced Equipment Tsinghua UniversityBeijing 100084China School of Nanoscience and Engineering University of Chinese Academy of SciencesBeijing 100049China School of Electrical&Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Institute of Intelligent Flexible Mechatronics Jiangsu UniversityZhenjiang 212013China Institute of New Materials and Advanced Manufacturing Beijing Academy of Science and TechnologyBeijing 100084China

Friction occurs in our daily lives, and statistics have shown that it consumes approximately 1/3 of the primary energy. In addition,mechanical interface friction significantly impacts the efficiency,noise, accuracy, corrosion, reliability, and operational lifespans of equipment. Several studies have revealed various methods for reducing the coefficient of friction (COF) to the superlubricity state(COF <0.01) through efficient lubrication technology.

关键词： friction corrosion energy.

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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms

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Friction 2024年第6期12卷 1322-1340页

作者： Huifeng NING Faqiang CHEN Yunfeng SU Hongbin LI Hengzhong FAN Junjie SONG Yongsheng ZHANG Litian HU School of Electrical and Mechanical Engineering Lanzhou University of TechnologyLanzhou 730050China State key laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

The tribological properties of self-lubricating composites are influenced by many variables and complex ***-driven methods,including machine learning(ML)algorithms,can yield a better comprehensive understanding of complex problems under the influence of multiple parameters,typically for how tribological performances and material properties *** of friction coefficients and wear rates of copper/aluminum-graphite(Cu/Al-graphite)self-lubricating composites with their inherent material properties(composition,lubricant content,particle size,processing process,and interfacial bonding strength)and the variables related to the testing method(normal load,sliding speed,and sliding distance)were analyzed using traditional approaches,followed by modeling and prediction of tribological properties through five different ML algorithms,namely support vector machine(SVM),K-Nearest neighbor(KNN),random forest(RF),eXtreme gradient boosting(XGBoost),and least-squares boosting(LSBoost),based on the tribology experimental *** demonstrated that ML models could satisfactorily predict friction coefficient and wear rate from the material properties and testing method variables ***,the LSBoost model based on the integrated learning algorithm presented the best prediction performance for friction coefficients and wear rates,with R^(2) of 0.9219 and 0.9243,*** importance analysis also revealed that the content of graphite and the hardness of the matrix have the greatest influence on the friction coefficients,and the normal load,the content of graphite,and the hardness of the matrix influence the wear rates the most.

关键词： self-lubricating composites machine learning(ML) tribological properties prediction

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Robust scalable reversible strong adhesion by gecko-inspired composite design

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Friction 2022年第8期10卷 1192-1207页

作者： Xiaosong LI Pengpeng BAI Xinxin LI Lvzhou LI Yuanzhe LI Hongyu LU Liran MA Yonggang MENG Yu TIAN State key laboratory of tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Bio-inspired reversible adhesion has significant potential in many fields requiring flexible grasping and manipulation,such as precision manufacturing,flexible electronics,and intelligent *** extensive efforts for adhesive synthesis with a high adhesion strength at the interface,an effective strategy to actively tune the adhesion capacity between a strong attachment and an easy detachment spanning a wide range of scales has been ***,we report a novel soft-hard-soft sandwiched composite design to achieve a stable,repeatable,and reversible strong adhesion with an easily scalable performance for a large area ranging from~1.5 to 150 cm2 and a high load ranging from~20 to 700 *** studies indicate that this design can enhance the uniform loading for attachment by restraining the lateral shrinkage in the natural state,while facilitate a flexible peeling for detachment by causing stress concentration in the bending state,yielding an adhesion switching ratio of~54 and a switching time of less than~0.2 *** design is further integrated into versatile grippers,climbing robots,and human climbing grippers,demonstrating its robust scalability for a reversible strong *** biomimetic design bridges microscopic interfacial interactions with macroscopic controllable applications,providing a universal and feasible paradigm for adhesion design and control.

关键词： biomimetic design reversible adhesion composite cross-scale robotics

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Multiple internal resonances of rotating composite cylindrical shells under varying temperature fields

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Applied Mathematics and Mechanics(English Edition) 2022年第10期43卷 1543-1554页

作者： Yunfei LIU Jun WANG Jiaxin HU Zhaoye QIN Fulei CHU State key laboratory of tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Composite cylindrical shells,as key components,are widely employed in large rotating ***,due to the frequency bifurcations and dense frequency spectra caused by rotation,the nonlinear vibration usually has the behavior of complex multiple internal *** addition,the varying temperature fields make the responses of the system further difficult to ***,the multiple internal resonances of composite cylindrical shells with porosities induced by rotation with varying temperature fields are studied in this *** different types of the temperature fields,the Coriolis forces,and the centrifugal force are considered *** Hamilton principle and the modified Donnell nonlinear shell theory are used to obtain the equilibrium equations of the system,which are transformed into the ordinary differential equations(ODEs)by the multi-mode Galerkin ***,the pseudo-arclength continuation method,which can identify the regions of instability,is introduced to obtain the numerical *** detailed parametric analysis of the rotating composite shells is *** internal resonances caused by the interaction between backward and forward wave modes and the energy transfer phenomenon are ***,the nonlinear amplitude-frequency response curves are different under different temperature fields.

关键词： multiple internal resonances rotation effect nonlinear temperature variation multi-mode Galerkin technique pseudo-arclength continuation method coupled effect

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Mechanism analysis and improved model for stick-slip friction behavior considering stress distribution variation of interface

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Chinese Physics B 2022年第3期31卷 350-363页

作者：韩靖宇丁甲豪吴宏宇阎绍泽 State key laboratory of tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Studying the evolution of interface contact state, revealing the “black box” behavior in interface friction and establishing a more accurate friction model are of great significance to improve the prediction accuracy of mechanical system performance. Based on the principle of total reflection, a visual analysis technology of interface contact behavior is proposed. Considering the dynamic variation of stress distribution in interface contact, we analyze the nonlinear characteristics of contact parameters in different stages of stick-slip process using the above-mentioned experimental technology. Then,we find that the tangential stiffness of the interface is not a fixed value during the stick-slip process and the stress distribution variation is one of the important factors affecting the tangential stiffness of interface. Based on the previous experimental results, we present an improved stick-slip friction model, considering the change of tangential stiffness and friction coefficient caused by the stress distribution variation. This improved model can characterize the variation characteristics of contact parameters in different stages of stick-slip process, whose simulation results are in good agreement with the experimental data. This research may be valuable for improving the prediction accuracy of mechanical system performance.

关键词： stress distribution tangential stiffness friction coefficient stick-slip friction model

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Mantis Shrimp-Inspired Underwater Striking Device Generates Cavitation

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Journal of Bionic Engineering 2022年第6期19卷 1758-1770页

作者： Xinxin Li Xiaosong Li Xin Hou Yuanzhe Li Yonggang Meng Liran Ma Yu Tian State key laboratory of tribology Department of Mechanical EngineeringTsinghua UniversityBeijing100084China

Different from direct impact damage exerted by limbs of most organisms,mantis shrimps’appendages can carry out ultra-fast,powerful underwater strikes with cavitation superimposed damage to harvest hard-shelled *** power amplification systems and cavitation generation of mantis shrimp have attracted vast attention of *** effort has been paid to developing mantis shrimp-inspired striking robots;however,none of them are capable of generating cavitation during impacting hard objects *** this paper,an underwater striking robot named Shrimpbot was developed to reproduce the cavitation phenomenon when striking hard *** incorporates a Latch-Mediated Spring Actuation(LaMSA)to slowly store energy and release it instantaneously.A Diamond-Shaped Four-bar Linkage(DSFL)stretches springs to more effectively store elastic energy by reducing the maximum torque requirement of the *** design promised an average power amplification of over 30 times of the *** optimization and hydrophobic coating on the hammerhead and hand of Shrimpbot helped to reduce the water *** accomplished Shrimpbot reached an impact speed of over 12 m/s,at an acceleration of 2×10^(3) m/s^(2),an impact force of more than 1200 N in water,very close to the performance of mantis *** importantly,cavitation bubbles accompanied with the impacts were observed for the first time in mantis shrimp-inspired *** ingeniously employs only one motor to accomplish the striking automatically and repeatedly for practical *** mimics the cavitation generation skills of mantis shrimp,which could facilitate the understanding of its mechanical principles and fluid dynamics of ultra-fast power-amplified systems of mantis shrimp and even those energy storage mechanisms of jumping robots or exoskeleton robots.

关键词： Mantis shrimp Biomechanics Power amplification Cavitation Latch-mediated spring actuation

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AI for tribology:Present and future

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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 *** behaviors are characterized by dependence on systems,evolution with time,and multidisciplinary *** friction process involves a variety of phenomena,including mechanics,thermology,electricity,optics,magnetics,and so ***,tribological information possesses the distinct characteristics of being multidisciplinary,multilevel,and multiscale,so that the application of AI in tribology is highly *** delineate the scope,classification,and recent trends of AI implementation in tribology,this review embarks on exploration of the tribology research *** comprehensively outlines the utilization of AI in basic theory of tribology,intelligent tribology,component tribology,extreme tribology,bio-tribology,green tribology,and other ***,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 *** purpose of this review is to offer a systematic comprehension of tribo-informatics and to inspire new research ideas of ***,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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Guest editorial:Special Issue on Biomedical tribology

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Friction 2022年第1期10卷 2-3页

作者： Guoxin XIE Jianbin LUO State key laboratory of tribology Tsinghua UniversityBeijing 100084China

Biomedical tribology has developed rapidly with the joint efforts of medical and tribological researchers,and it concerns various kinds of friction that existed inside and out side the body,such as the friction of joints,the friction between skin and clothing,and the friction in the lumen(blood vessels,trachea,digestive tube,and excretory tube),which causes maiiy physiological changes and diseases in the human ***,many medical devices have been used to treat or alleviate various *** tribology plays a vital role in solving the widespread tribological issues in the medical devices field,aiming to improve the performance of medical devices and prolong the service life.

关键词： friction tribological service

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Guest editorial:Special Issue on Artificial Intelligence and Emerging Computational Approaches for tribology

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Friction 2024年第6期12卷 1057-1059页

作者： Zhinan ZHANG Shuaihang PAN Bart RAEYMAEKERS State key laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA Department of Mechanical Engineering Virginia TechBlacksburgVA 24061USA

Tribo-behavior is a complex system-based time-dependent process,and it is difficult to accurately model a tribo-system and predict its ***,tribology research,in most cases,has relied on extensive *** by the artificial intelligence(AI)-for-science revolution,AI and other emerging computational approaches provide opportunities to explore the complex processes in tribo-systems and the physical mechanisms of tribo-behavior in an efficient way,significantly pushing the boundaries of tribology research.

关键词： behavior editorial artificial

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