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Scuffing failure analysis based on a multiphysics coupling model and experimental verification Friction (IF 6.8) Pub Date : 2024-06-01
Abstract General reductions in lubricant viscosities and increasing loads in machine components highlight the role of tribofilms in providing surface protection against scuffing. However, the relationship between the scuffing process and the growth and removal of tribofilm is not well understood. In this study, a multiphysics coupling model, which includes hydrodynamic lubrication, asperity contact
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Comparison-embedded evidence-CNN model for fuzzy assessment of wear severity using multi-dimensional surface images Friction (IF 6.8) Pub Date : 2024-06-01 Tao Shao, Shuo Wang, Qinghua Wang, Tonghai Wu, Zhifu Huang
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms Friction (IF 6.8) Pub Date : 2024-04-02 Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu
The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-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 correlate. Correlation of friction coefficients
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Low-viscosity oligoether esters (OEEs) as high-efficiency lubricating oils: Insight on their structure–lubricity relationship Friction (IF 6.8) Pub Date : 2024-06-01 Hanwen Wang, Ying Wang, Ping Wen, Lin Ma, Mingjin Fan, Rui Dong, Chunhua Zhang
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A new 3D plastoelastohydrodynamic lubrication model for rough surfaces Friction (IF 6.8) Pub Date : 2024-04-02 Shengyu You, Jinyuan Tang, Qiang Wang
Plastoelastohydrodynamic lubrication of rough surfaces (R-PEHL) is a cutting-edge area of research in interface fluid-structure coupling analysis. The existing R-PEHL model calculates the elastic-plastic deformation of rough surface by the Love equation in a semi-infinite space smooth surface, which deviates from the actual surface. Therefore, it is an innovative work to study the exact solution of
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AI for tribology: Present and future Friction (IF 6.8) Pub Date : 2024-03-12 Nian Yin, Pufan Yang, Songkai Liu, Shuaihang Pan, Zhinan Zhang
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
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Tribological properties of Al-GNP composites at elevated temperature Friction (IF 6.8) Pub Date : 2024-05-01
Abstract Lighter and more powerful next generation vehicles and other rotary machinery demand bearings to operate in harsher conditions for higher efficiency, and the continuous development of advanced low-wear and friction materials is thus becoming even more important to meet these requirements. New aluminium composites reinforced with high performance lubricate phases such as graphene nanoplatelets
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Study on frictional behavior of SiCf/SiC composite clad tube clamping condition under nuclear irradiation Friction (IF 6.8) Pub Date : 2024-05-01 Chenglong Xiao, Liangliang Shen, Tianqi Zhu, Jianbo Tang, Ximing Xie, Xinyu Fan, Jian Xu, Zhiying Ren
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A technical survey on mechanism and influence factors for asphalt pavement skid-resistance Friction (IF 6.8) Pub Date : 2024-05-01
Abstract To explore the research status on mechanism of the skid-resistance for asphalt pavement, the related achievements of the rubber friction, the tire–road contact, and the influence factors were reviewed. The rubber friction was reviewed from the mechanism and rubber friction model. The tire-road contact was studied from the modeling methods, the evaluation methods, and the skid-resistance mechanisms
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Nano-frictional mechano-reinforcing porous nanowires scaffolds Friction (IF 6.8) Pub Date : 2024-05-01 Licheng Hua, Conghu Hu, Jingkang Zhang, Jin Li, Chenjie Gu, Bin Huang, Guangyong Li, Jianke Du, Wanlin Guo
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Two material removal modes in chemical mechanical polishing: mechanical plowing vs. chemical bonding Friction (IF 6.8) Pub Date : 2024-05-01
Abstract With the rapid development of semiconductors, the number of materials needed to be polished sharply increases. The material properties vary significantly, posing challenges to chemical mechanical polishing (CMP). Accordingly, the study aimed to classify the material removal mechanism. Based on the CMP and atomic force microscopy results, the six representative metals can be preliminarily classified
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Hydration lubrication modulated by water structure at TiO2-aqueous interfaces Friction (IF 6.8) Pub Date : 2024-04-01 Pingsu Ma, Yuan Liu, Ke Han, Yu Tian, Liran Ma
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A novel polyionic liquid with lubricity and viscosity-increasing dual functionalities as the additive in aqueous lubrication system Friction (IF 6.8) Pub Date : 2024-04-01
Abstract The polyionic liquid poly-PEGMA-r-METAC (PPM) with quaternary ammonium has been synthesized and evaluated as additive in aqueous lubricating fluids. The rheological behavior of aqueous lubricating fluids with PPM has been characterized to confirm PPM’s function as a viscosity modifier. The tribological behavior of aqueous lubricating fluids with PPM has been investigated on SRV-V and MTM testing
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Friction and wear performance of polyether ether ketone (PEEK) polymers in three lubrication regimes Friction (IF 6.8) Pub Date : 2024-02-02 Davide Massocchi, Nora Lecis, Marco Lattuada, Davide Scaglia, Steven Chatterton, Paolo Pennacchi
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On the electric behaviour of conductive grease inside the contact zone Friction (IF 6.8) Pub Date : 2024-04-01
Abstract Conductive grease has been considered as a potential solution in addressing electric erosion issue inside motor bearings. Understanding the conductive grease performance, especially the electric and tribological behaviour is crucial for its application. This paper combines bulk grease characterization and contact film study considering both electrical and tribological loading conditions. The
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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data Friction (IF 6.8) Pub Date : 2024-02-02 Robert Gutierrez, Tianshi Fang, Robert Mainwaring, Tom Reddyhoff
It is increasingly important to monitor sliding interfaces within machines, since this is where both energy is lost, and failures occur. Acoustic emission (AE) techniques offer a way to monitor contacts remotely without requiring transparent or electrically conductive materials. However, acoustic data from sliding contacts is notoriously complex and difficult to interpret. Herein, we simultaneously
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Role of temperature in tribolayers in fretting wear of γ-TiAl alloy Friction (IF 6.8) Pub Date : 2024-02-02 Yulei Yang, Hongfei Shang, Huiping Pei, Jimin Xu, Yi Liang, Minghui Pan
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Analysis of the discrete contact characteristics based on the Greenwood-Williamson model and the localization principle Friction (IF 6.8) Pub Date : 2024-02-02 Anastasiya A. Yakovenko, Irina G. Goryacheva
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Experimental study on boundary lubricity of superficial area of articular cartilage and synovial fluid Friction (IF 6.8) Pub Date : 2024-02-02 Wenxiao Li, Takehiro Morita, Yoshinori Sawae
The boundary lubrication mechanism at the articulating surface of natural synovial joints has been the subject of much discussion in tribology. In this study, to elucidate the lubricating function of the superficial area of articular cartilage and synovial fluid (SF), cartilage specimens were processed with four different treatments: gentle and severe washing with detergent, incubation in NaCl solution
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A new method to solve the Reynolds equation including mass-conserving cavitation by physics informed neural networks (PINNs) with both soft and hard constraints Friction (IF 6.8) Pub Date : 2024-01-12 Yinhu Xi, Jinhui Deng, Yiling Li
In this work, a new method to solve the Reynolds equation including mass-conserving cavitation by using the physics informed neural networks (PINNs) is proposed. The complementarity relationship between the pressure and the void fraction is used. There are several difficulties in problem solving, and the solutions are provided. Firstly, the difficulty for considering the pressure inequality constraint
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Modification of POSS and their tribological properties and resistant to space atomic oxygen irradiation as lubricant additive of multialkylated cyclopentanes Friction (IF 6.8) Pub Date : 2024-01-12 Xingwei Wang, Chaoyang Zhang, Chen Zhao, Yijing Liang, Ming Zhang, Wufang Yang, Bo Yu, Qiangliang Yu, Meirong Cai, Feng Zhou, Weimin Liu
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Combination of diketone and PAO to achieve macroscale oil-based superlubricity at relative high contact pressures Friction (IF 6.8) Pub Date : 2024-01-12 Shaonan Du, Chenhui Zhang, Zhi Luo
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Stable graphene oxide-based lyotropic liquid crystals for interfacial lubrication Friction (IF 6.8) Pub Date : 2024-01-12 Yumei Guo, Hanglin Li, Jiusheng Li, Xiangqiong Zeng
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Evolution of tribo-magnetization during sliding of ferromagnetic materials Friction (IF 6.8) Pub Date : 2024-01-12 Fumin Gao, Laibin Zhang, Jin Zhou, Yi Xiong, Jing Wu, Jianchun Fan
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Origin and evolution of false brinelling and fretting corrosion under rolling conditions Friction (IF 6.8) Pub Date : 2024-01-12 Xin Jia, Lu Huang, Miao Sun, Wenbin Li
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The influence of various grease compositions and silver nanoparticle additives on electrically induced rolling-element bearing damage Friction (IF 6.8) Pub Date : 2024-01-12 Samuel Bond, Robert L. Jackson, German Mills
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Experimental study on the feasibility of alternative materials for tilting pad thrust bearings operating in transition to mixed friction Friction (IF 6.8) Pub Date : 2024-01-12 Michał Wasilczuk, Michał Wodtke
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Prediction of ball-on-plate friction and wear by ANN with data-driven optimization Friction (IF 6.8) Pub Date : 2024-01-10 Alexander Kovalev, Yu Tian, Yonggang Meng
For training artificial neural network (ANN), big data either generated by machine or measured from experiments are used as input to “learn” the unspecified functions defining the ANN. The experimental data are fed directly into the optimizer allowing training to be performed according to a predefined loss function. To predict sliding friction and wear at mixed lubrication conditions, in this study
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Prediction of contact resistance of electrical contact wear using different machine learning algorithms Friction (IF 6.8) Pub Date : 2024-01-10 Zhen-bing Cai, Chun-lin Li, Lei You, Xu-dong Chen, Li-ping He, Zhong-qing Cao, Zhi-nan Zhang
H62 brass material is one of the important materials in the process of electrical energy transmission and signal transmission, and has excellent performance in all aspects. Since the wear behavior of electrical contact pairs is particularly complex when they are in service, we evaluated the effects of load, sliding velocity, displacement amplitude, current intensity, and surface roughness on the changes
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Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor Friction (IF 6.8) Pub Date : 2023-12-20 Shuo Wang, Miao Wan, Tonghai Wu, Zichen Bai, Kunpeng Wang
Ferrograph-based wear debris analysis (WDA) provides significant information for wear fault analysis of mechanical equipment. After decades of offline application, this conventional technology is being driven by the online ferrograph sensor for real-time wear state monitoring. However, online ferrography has been greatly limited by the low imaging quality and segmentation accuracy of particle chains
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An approach of the internal friction-dependent temperature changes for conventional and pure biogenic lubricating greases Friction (IF 6.8) Pub Date : 2023-12-20 Leif Ahme, Erik Kuhn, Miguel Ángel Delgado
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Bayesian inference-based wear prediction method for plain bearings under stationary mixed-friction conditions Friction (IF 6.8) Pub Date : 2023-12-15 Florian König, Florian Wirsing, Georg Jacobs, Rui He, Zhigang Tian, Ming J. Zuo
This study introduces a method to predict the remaining useful life (RUL) of plain bearings operating under stationary, wear-critical conditions. In this method, the transient wear data of a coupled elastohydrodynamic lubrication (mixed-EHL) and wear simulation approach is used to parametrize a statistical, linear degradation model. The method incorporates Bayesian inference to update the linear degradation
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Testing and modelling of transient adhesion phenomena in rolling-sliding contacts Friction (IF 6.8) Pub Date : 2023-12-15 Daniel Kvarda, Alexander Meierhofer, Klaus Six
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Tribological behavior of lubricant-impregnated porous polyimide Friction (IF 6.8) Pub Date : 2023-12-15 Jinbang Li, Ningning Zhou, Janet S. S. Wong
Porous materials impregnated with lubricants can be used in conditions where limited lubricant is desirable. In this work, three porous polyimides (PPI) with different densities were prepared. Polyalphaolefin (PAO) impregnated PPI (iPPI) discs were rubbed against steel and sapphire balls. In operando observations of the iPPI–sapphire contacts show that oil is released under an applied load, forming
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Tribological behavior of shape-specific microplate-enriched synovial fluids on a linear two-axis tribometer Friction (IF 6.8) Pub Date : 2023-12-04 Agnese Fragassi, Antonietta Greco, Martina Di Francesco, Luca Ceseracciu, Aiman Abu Ammar, Israel Dvir, Thomas Lee Moore, Haytam Kasem, Paolo Decuzzi
Nano- and micro-particles are being increasingly used to tune interfacial frictional properties in diverse applications, from friction modifiers in industrial lubrication to enhanced biological fluids in human osteoarthritic joints. Here, we assessed the tribological properties of a simulated synovial fluid enriched with non-spherical, poly lactic-co-glycolic acid (PLGA) microparticles (µPL) that have
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Research on the mechanism of the two-dimensional ultrasonic surface burnishing process to enhance the wear resistance for aluminum alloy Friction (IF 6.8) Pub Date : 2023-12-04 Zhen-Yu Zhou, Qiu-Yang Zheng, Yu Li, Cong Ding, Guang-Jian Peng, Zhong-Yu Piao
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High-temperature tribological performance of functionally graded Stellite 6/WC metal matrix composite coatings manufactured by laser-directed energy deposition Friction (IF 6.8) Pub Date : 2023-12-04 Marta Ostolaza, Alaitz Zabala, Jon Iñaki Arrizubieta, Iñigo Llavori, Nagore Otegi, Aitzol Lamikiz
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Finite element analysis and experimental validation of polymer–metal contacts in block-on-ring configuration Friction (IF 6.8) Pub Date : 2023-12-04 K. Y. Eayal Awwad, Khosro Fallahnezhad, B. F. Yousif, Ahmad Mostafa, Omar Alajarmeh, A. Shalwan, Xuesen Zeng
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Classification and spectrum optimization method of grease based on infrared spectrum Friction (IF 6.8) Pub Date : 2023-12-05 Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li
The infrared (IR) absorption spectral data of 63 kinds of lubricating greases containing six different types of thickeners were obtained using the IR spectroscopy. The Kohonen neural network algorithm was used to identify the type of the lubricating grease. The results show that this machine learning method can effectively eliminate the interference fringes in the IR spectrum, and complete the feature
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Generating synthetic as-built additive manufacturing surface topography using progressive growing generative adversarial networks Friction (IF 6.8) Pub Date : 2023-12-04 Junhyeon Seo, Prahalada Rao, Bart Raeymaekers
Numerically generating synthetic surface topography that closely resembles the features and characteristics of experimental surface topography measurements reduces the need to perform these intricate and costly measurements. However, existing algorithms to numerically generated surface topography are not well-suited to create the specific characteristics and geometric features of as-built surfaces
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Mechanisms behind the environmental sensitivity of carbon fiber reinforced polytetrafluoroethylene (PTFE) Friction (IF 6.8) Pub Date : 2023-12-04 P. Johansson, P. Marklund, M. Björling, Y. Shi
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A numerical model to simulate the transient frictional viscoelastic sliding contact Friction (IF 6.8) Pub Date : 2023-11-29 Dongze Wang, Gregory de Boer, Anne Neville, Ali Ghanbarzadeh
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A lubrication model for bubbly oil lubrication with interfacial effect and thermal effect using the theory of multiphase mixtures Friction (IF 6.8) Pub Date : 2023-11-29 Shaohua Li, Xiaohui Lin, Shuyun Jiang
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Interfacial mechanism of hydrogel with controllable thickness for stable drag reduction Friction (IF 6.8) Pub Date : 2023-11-29 Xiaotong Wu, Ying Liu, Yunlei Zhang, Xingwei Wang, Wufang Yang, Lang Jiang, Shuanhong Ma, Meirong Cai, Feng Zhou
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Development of wet adhesion of honeybee arolium incorporated polygonal structure with three-phase composite interfaces Friction (IF 6.8) Pub Date : 2023-11-29 Lulu Liang, Jieliang Zhao, Qun Niu, Li Yu, Xiangbing Wu, Wenzhong Wang, Shaoze Yan, Zhenglei Yu
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Influence of contact curvature on frictional energy dissipation under varying tangential loads Friction (IF 6.8) Pub Date : 2023-11-29 Sumin Baek, Seunghun Baek
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Saffman–Taylor instability in eccentric cylinders at gaseous cavitation Friction (IF 6.8) Pub Date : 2023-11-29 Anatoliy A. Monakhov, Nikolay Bukharin
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Low friction under ultrahigh contact pressure enabled by self-assembled fluorinated azobenzene layers Friction (IF 6.8) Pub Date : 2023-11-23 Dandan Xue, Zhi Xu, Linyuan Guo, Wendi Luo, Liran Ma, Yu Tian, Ming Ma, Qingdao Zeng, Ke Deng, Wenjing Zhang, Yichun Xia, Shizhu Wen, Jianbin Luo
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Effects of surface morphology on tribological properties of Arapaima gigas scales Friction (IF 6.8) Pub Date : 2023-10-21 Shuaijun Zhang, Pengpeng Bai, Xiangli Wen, Chengwei Wen, Hui Cao, Wanyou Yang, Yu Tian
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Multiphysical contact of functionally graded magneto-electro-elastic material with imperfect bonding interface Friction (IF 6.8) Pub Date : 2023-10-16 Yijin Sui, Haibo Zhang, Jieliang Zhao, Wenzhong Wang
Three-dimensional (3D) frictional contact model of functionally graded magneto-electro-elastic (FGMEE) material with a conducting spherical punch under electromagnetic fields is presented. Two types of imperfect bonding interface of layers, dislocation-like interface and force-like interface, are considered. Frequency response functions (FRFs) for multilayered MEE material with imperfect interface
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Investigation of surface textures deterioration on pavement skid-resistance using hysteresis friction models and numerical simulation method Friction (IF 6.8) Pub Date : 2023-10-14 Haoyuan Luo, Siyu Chen, Leyi Zhu, Xiyin Liu, Yangzezhi Zheng, Runming Zhao, Xiaoming Huang
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Experimental investigation on slip conditions during thread rolling with flat dies Friction (IF 6.8) Pub Date : 2023-09-27 Stefan Volz, Peter Groche
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Tribologically induced nanostructural evolution of carbon materials: A new perspective Friction (IF 6.8) Pub Date : 2023-09-27 Guilherme Oliveira Neves, Nicolás Araya, Diego Berti Salvaro, Thiago de Souza Lamim, Renan Oss Giacomelli, Cristiano Binder, Aloisio Nelmo Klein, José Daniel Biasoli de Mello
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Eco-friendly polysaccharide coatings for antifouling and drag-reduction and potential application for marine devices Friction (IF 6.8) Pub Date : 2023-09-15 Hao Yang, Liguo Qin, Wenhui Zhao, Fagla Jules Mawignon, Hui Guo, Yongkang Wu, Yali Zhang, Guangneng Dong
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Construction of ternary PEG200-based DESs lubrication systems via tailoring tribo-chemistry Friction (IF 6.8) Pub Date : 2023-09-06 Yuting Li, Songyu Lan, Yazhou Liu, Cheng Cao, Zicheng Tang, Deyin Deng, Fuyuan Liu, Hao Li, Xiaoqiang Fan, Minhao Zhu
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A brief review of tribological properties for black phosphorus Friction (IF 6.8) Pub Date : 2023-08-24 Fanfan Lv, Wei Wang, Jinjin Li, Yuan Gao, Kuaishe Wang
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Tribological properties and tribomechanism of nickel nanoparticles in-situ synthesized in rapeseed oil Friction (IF 6.8) Pub Date : 2023-08-24 Wenya Xu, Guangbin Yang, Shengmao Zhang, Jun Xu, Yujuan Zhang, Tianhua Sun, Ningning Song, Laigui Yu, Pingyu Zhang
Nickel (Ni) nanoparticles can be enriched on the surface of iron-based frictional pairs, which provides the possibility to get rid of the competitive adsorption between the polar species of vegetable oil and the surface-active nano-additives thereon. In this paper, nickel acetylacetonate was used as a precursor to in-situ synthesize nickel nanoparticles with an average diameter of about 12 nm in rapeseed
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Approximate contact solutions for non-axisymmetric homogeneous and power-law graded elastic bodies: A practical tool for design engineers and tribologists Friction (IF 6.8) Pub Date : 2023-08-24 Valentin L. Popov, Qiang Li, Emanuel Willert
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Investigation of electrostatically tunable adhesion and instability of flying head slider Friction (IF 6.8) Pub Date : 2023-08-24 Fan Zhang, Yu Wang, Yueqiang Hu, Mingquan Zhang, Baotong Li
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Tribological properties of low-temperature time-dependent pretreated graphite for mechanical seal pairs in high-speed turbopump Friction (IF 6.8) Pub Date : 2023-08-24 Yangyang Zhao, Guoyuan Zhang, Junqian Wang, He Wang, Weigang Zhao, Qunfeng Zeng