Friction最新文献_第2页

Magnetic lubricants: Preparation, physical mechanism, and application 磁性润滑剂：制备、物理机理及应用

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-23 DOI: 10.26599/frict.2025.9441010

Lingyi Sun, Yanbin Zhang, Xin Cui, Qinglong An, Yun Chen, Dongzhou Jia, Peng Gong, Mingzheng Liu, Yusuf Suleiman Dambatta, Changhe Li

{"title":"Magnetic lubricants: Preparation, physical mechanism, and application","authors":"Lingyi Sun, Yanbin Zhang, Xin Cui, Qinglong An, Yun Chen, Dongzhou Jia, Peng Gong, Mingzheng Liu, Yusuf Suleiman Dambatta, Changhe Li","doi":"10.26599/frict.2025.9441010","DOIUrl":"https://doi.org/10.26599/frict.2025.9441010","url":null,"abstract":" Magnetic lubricants are emerging as advanced lubricants with controlled flowability and enhanced lubrication and heat transfer capabilities, showing potential for use in extreme conditions such as aerospace. Although their excellent properties have been preliminarily confirmed, the mechanisms by which these properties influence performance—including fluid dynamics, electromagnetism, and chemistry—require systematic investigation. This paper addresses this gap by systematically reviewing the preparation, physicochemical properties, and potential applications of magnetic lubricants. First, the formulations of magnetic lubricants, including the base fluid and stabilizing additives, are thoroughly examined, considering various magnetic materials and preparation methods to elucidate the mechanisms influencing dispersion stability and magnetic response. Next, the physical properties, such as saturation magnetization, viscosity, and flowability, are analyzed through theoretical and experimental studies, and constitutive models for the fluid dynamics of magnetic lubricants are summarized. Furthermore, the advanced tribological and thermal properties, as well as the physical behavior under magnetic fields, are discussed, highlighting the superior antifriction, antiwear, cooling, and controlled flowability performance compared to traditional lubricants. Finally, current applications and potential fields, such as bearings, machining, and heat exchangers, are reviewed. This paper provides a valuable reference for both theoretical studies and engineering applications of magnetic lubricants. ","PeriodicalId":12442,"journal":{"name":"Friction","volume":"42 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144122741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental investigation of drag reduction induced by hydrogels crosslinked with Fe3+ in water-soluble and -insoluble liquid oils 水凝胶交联Fe3+对水溶性和非水溶性液体油减阻的实验研究

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-20 DOI: 10.26599/frict.2025.9441127

Lang Jiang, Haibao Hu, Luo Xie, Jun Wen, Wufang Yang, Feng Zhou

{"title":"Experimental investigation of drag reduction induced by hydrogels crosslinked with Fe3+ in water-soluble and -insoluble liquid oils","authors":"Lang Jiang, Haibao Hu, Luo Xie, Jun Wen, Wufang Yang, Feng Zhou","doi":"10.26599/frict.2025.9441127","DOIUrl":"https://doi.org/10.26599/frict.2025.9441127","url":null,"abstract":"Hydrogels have considerable potential for use in marine transportation, but few studies have examined its attribute of drag reduction in liquid oils. In this paper, we first prepared a series of hydrogels crosslinked by ferric ion (Fe3+) through photoinitiated radical polymerization, and then a rheometer was used to measure their performance in terms of reducing drag in flow fields containing the water-soluble aqueous glycerol solution and the water-insoluble dimethyl silicone oil (DSO). The results showed all the hydrogels considered in our experiments could reduce drag in both experimental liquid oils, where their crosslinking with Fe3+ led to the decline of drag reduction. The higher viscosity of the aqueous glycerol solution induced a higher reduction in drag until it reached a value of 18 mPa·s. The hydrogels exhibited different mechanisms of drag reduction in different liquids. Drag reduction was induced in the aqueous glycerol solution by the boundary slip on the lubricating layer formed by the dissolution of water and glycerol, while that in DSO was induced by the boundary slip on the water layer of the surface of the hydrogel due to the insolubility of DSO in water. The work here revealed the mechanism of drag reduction induced by hydrogels that could be applied to marine transportation.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"38 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparative study on mechanical integrity and tribological performance of innovative 3D fabric liners versus conventional 2D fabrics 创新3D织物衬垫与传统2D织物的机械完整性和摩擦学性能比较研究

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-19 DOI: 10.26599/frict.2025.9441126

Jingyu Kang, Xiaokang Ma, Ming Tan, Xiaoyu Hao, Tianyi Zhang, Jinglun Guo, Zhaozhu Zhang, Shijie Wei, Xuqing Liu

引用次数: 0

Bio-inspired structural adhesion and friction for harsh-environments: From natural ingenuity to engineering 生物启发结构的粘附和摩擦恶劣环境：从自然的独创性到工程

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-19 DOI: 10.26599/frict.2025.9441123

Jian Chen, Wenjun Tan, Wenjie Chen, Jiahui Zhao, Yezhong Tang, Stanislav N. Gorb, Keju Ji, Zhendong Dai

{"title":"Bio-inspired structural adhesion and friction for harsh-environments: From natural ingenuity to engineering","authors":"Jian Chen, Wenjun Tan, Wenjie Chen, Jiahui Zhao, Yezhong Tang, Stanislav N. Gorb, Keju Ji, Zhendong Dai","doi":"10.26599/frict.2025.9441123","DOIUrl":"https://doi.org/10.26599/frict.2025.9441123","url":null,"abstract":"Escalating demands for adaptive interfacial control across harsh conditions, from deep-space microgravity to deep-sea hydrostatic pressure, have propelled bio-inspired structural adhesion/friction materials (SAFMs) into a transformative scientific frontier. Guided by nature's evolutionary masterstrokes: the gecko's hierarchical fibrillar architecture enabling anisotropic van der Waals adhesion and the octopus' muscular-hydrodynamic suction synergies-researchers have engineered interfaces with unprecedented environmental adaptability. Despite breakthroughs in robotics and biomedicine, synthetic SAFMs persistently lag biological counterparts in three dimensions: structural hierarchy fidelity, dynamic stability under cross-media disturbance, and adaptability to concurrent multi-environmental. Through a comparative analysis of biotic/abiotic mechanisms, we demonstrate how current state-of-the-art synthetic systems, often limited by single-environment optimization or manufacturing-compromised structural hierarchies, fail to match the robustness of natural systems. To overcome these barriers, we propose a co-design framework integrating: multiple mechanism synergy, multiple functional material networks, and bio-inspired fabrication technologies. By bridging these domains, the framework aims to realize multiple environmental adaptive bio-inspired adhesion/friction that transcend current application silos from space environments tolerant robotic for lunar exploration to self-adjusting biomedicine devices for health monitoring.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"77 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanism and regulation of oil-lubricated triboelectrification at steel/PTFE interface 钢/聚四氟乙烯界面油润滑摩擦起电机理及调控

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-14 DOI: 10.26599/frict.2025.9441125

Mingyang Ma, Xin Wang, Liqiang Zhang, Jian Zhang, Xiaojuan Li, Runhao Zheng, Yange Feng, Xiaolong Zhang, Xinze Zhao, Daoai Wang

引用次数: 0

Metallic-peristome surface inspired by Nepenthes alata for anti-sticking of electrosurgical electrodes 受新戊草启发的金属表面，用于电手术电极的防粘着

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-14 DOI: 10.26599/frict.2025.9441028

Guang Liu, Jiajun Yang, Kaiteng Zhang, Haipeng Yan, Yingdong Zheng, Yu Yan, Liwen Zhang, Zehui Zhao, Guang Yang, Huawei Chen

{"title":"Metallic-peristome surface inspired by Nepenthes alata for anti-sticking of electrosurgical electrodes","authors":"Guang Liu, Jiajun Yang, Kaiteng Zhang, Haipeng Yan, Yingdong Zheng, Yu Yan, Liwen Zhang, Zehui Zhao, Guang Yang, Huawei Chen","doi":"10.26599/frict.2025.9441028","DOIUrl":"https://doi.org/10.26599/frict.2025.9441028","url":null,"abstract":" Soft tissue sticking to electrosurgical electrodes in minimally invasive surgery can cause tissue trauma, laceration, and bleeding and can easily lead to medical accidents. The multilevel structure on the peristome surface of Nepenthes alata creates a stable liquid film and long-term slippery phenomena, providing excellent antisticking performance. However, transferring the multilevel structure to metallic substrates is a critical challenge. Herein, a facile method using a bionic replication process combined with an electroforming process was reported to successfully prepare a realistic metallic-peristome surface (MPS) from the peristome surface of Nepenthes alata to a copper-based substrate. The long-term lubrication theory of MPS was analyzed, which demonstrated the high wettability and robustness of the surface. The unidirectional transport behavior and long-term lubrication performance of dimethyl silicone oil on the MPS under the action of a thermal field gradient were analyzed. The results show that the as-prepared metallic-peristome surface has liquid transport capability in the opposite direction of the thermal field gradient. In addition, the introduction of microstructures on the surface of the MPS electrode can promote the occurrence of spark effects and improve the cutting effect. An electrocution test of isolated pig liver tissue was conducted to test the tissue antisticking properties, thermal damage, and antibacterial effects of self-lubricating slippery surface bionic electrosurgery. MPS exhibits excellent antistick properties, low thermal damage, and significant antibacterial properties, laying the foundation for its application in other fields. ","PeriodicalId":12442,"journal":{"name":"Friction","volume":"29 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143945601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wear modeling and friction-induced noise: A review 磨损建模与摩擦噪声：综述

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-12 DOI: 10.26599/frict.2025.9441124

Yang Tian, Muhammad Khan, Hao Yuan, Bohao Zheng

{"title":"Wear modeling and friction-induced noise: A review","authors":"Yang Tian, Muhammad Khan, Hao Yuan, Bohao Zheng","doi":"10.26599/frict.2025.9441124","DOIUrl":"https://doi.org/10.26599/frict.2025.9441124","url":null,"abstract":"Wear and friction-induced noise are pivotal tribological phenomena that significantly influence the longevity and efficiency of mechanical systems. This review synthesizes current research on wear modeling and friction-induced noise, exploring their mechanisms, influencing factors, and predictive challenges. Wear modeling encompasses a range of approaches, from traditional methods such as the Archard equation to more advanced numerical and machine learning techniques. These models address diverse mechanisms—adhesive, abrasive, and fatigue wear—which are shaped by material properties, surface roughness, and environmental conditions. Friction-induced noise, arising from stick-slip, sprag-slip, and mode-coupling, is influenced by surface states, damping, and operational parameters. Crucially, wear and noise are interlinked. Wear reshapes surfaces and dynamics, thereby modulating noise, while noise can serve as a diagnostic tool for wear progression. Yet, existing models often isolate these phenomena, neglecting their synergy and impeding accurate system-life predictions. This review highlights this gap and advocates for the development of integrated wear-noise models, harnessing multiscale simulations, advanced computation, and empirical validation. The development of such models has the potential to significantly enhance the accuracy of durability and acoustic performance predictions. They offer a holistic framework that captures the dynamic interplay between surface degradation and noise generation. This framework is essential for advancing non-invasive detection technologies in industries such as automotive, aerospace, and manufacturing. In these sectors, addressing these dual challenges is crucial for enhancing performance, safety, and efficiency.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"2 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143933222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting static friction coefficients under heavy loads using machine learning algorithms 使用机器学习算法预测重载下的静摩擦系数

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-09 DOI: 10.26599/frict.2025.9441114

Minhu Jeong, Jinho Kang, Sang-Shin Park

{"title":"Predicting static friction coefficients under heavy loads using machine learning algorithms","authors":"Minhu Jeong, Jinho Kang, Sang-Shin Park","doi":"10.26599/frict.2025.9441114","DOIUrl":"https://doi.org/10.26599/frict.2025.9441114","url":null,"abstract":"Fastening structures in vehicles that endure repetitive shear loads must maintain sufficient clamping forces to prevent loosening caused by joint slippage. The minimum clamping force required for control slippage is calculated using analytical and theoretical methods and is closely related to the static friction coefficient between the joint materials. In this study, we introduce a novel test apparatus designed to measure the static friction coefficient between two materials under high load conditions, with its experimental suitability confirmed through reliability verification. We experimentally analyzed the effects of normal load, surface roughness, and mechanical properties on the static friction coefficient for materials commonly used in vehicle joints, including coated steel, steel, and aluminum alloys. Four machine learning algorithms Gaussian process regression (GPR), ensemble, artificial neural network (ANN), and support vector regression (SVR), were evaluated for developing a prediction model for the static friction coefficient. The prediction performance of each model was assessed using various evaluation metrics, and the results showed that the GPR model achieved higher accuracy in predicting the static friction coefficient compared to the other models.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"53 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review on artificial intelligence-aided design of surface textures 表面纹理的人工智能辅助设计研究进展

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-09 DOI: 10.26599/frict.2025.9441121

Jiaxin Zheng, Sen Jiang, Guangneng Dong

{"title":"A review on artificial intelligence-aided design of surface textures","authors":"Jiaxin Zheng, Sen Jiang, Guangneng Dong","doi":"10.26599/frict.2025.9441121","DOIUrl":"https://doi.org/10.26599/frict.2025.9441121","url":null,"abstract":"Artificial Intelligence (AI) has received significant attention in the field of the design of surface textures due to the excellent ability to analyze a large amount of data and thus reveal patterns between some complex phenomena. This paper reviews the main classifications of AI-aided surface texture design, including data-driven, model-driven, and data and model hybrid approaches. Data-driven approaches leverage large-scale datasets to extract effective design features via machine learning algorithms. These features are then utilized to optimize surface textures, ensuring they meet specific functional requirements. The model-driven approach is based on physical models and combines AI technology to perform parameter optimization and simulation to ensure the physical rationality of the design. By combining the advantages of data-driven and model-driven approaches, the data and model hybrid approach achieves a more efficient and accurate design process. In addition, the design of AI-aided surface textures for tribology, fluid dynamics and drag reduction, and biomedical applications is presented. Finally, a perspective on the current challenges as well as future research directions is presented.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"15 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143926945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on ultra-low wear of steel/steel based on Water/Span 60 composite semi-solid lubricant 基于Water/Span 60复合半固体润滑剂的钢/钢超低磨损研究

IF 6.8 1区工程技术

Friction Pub Date : 2025-05-09 DOI: 10.26599/frict.2025.9441122

Shoukui Gao, Kunpeng Li, Liucheng Wang, Changhe Du, Liqiang Zhang, Runhao Zheng, Xiaojuan Li, Yinan Li, Daoai Wang

{"title":"Research on ultra-low wear of steel/steel based on Water/Span 60 composite semi-solid lubricant","authors":"Shoukui Gao, Kunpeng Li, Liucheng Wang, Changhe Du, Liqiang Zhang, Runhao Zheng, Xiaojuan Li, Yinan Li, Daoai Wang","doi":"10.26599/frict.2025.9441122","DOIUrl":"https://doi.org/10.26599/frict.2025.9441122","url":null,"abstract":"Adequate lubrication of the steel/steel interface is an effective way to reduce wear and prolong the service life of mechanical equipment. However, achieving the green ultra-low wear between steel and steel remains a challenge. In this work, a semi-solid deionized water (DIW)/sorbitan monostearate (Span 60) composite lubricant (DSP) is devised, achieving ultra-low wear at steel/steel interface. Compared with DIW lubrication, the friction coefficient of DSP was reduced by 75% and the wear rate was reduced to 2 orders of magnitude. At a contact pressure of 791.5 MPa, the wear rate also increases with the increasing number of cycles of 10,000 (5.82×10-8 mm3·N-1·m-1) and 20,000 (7.62×10-8 mm3·N-1·m-1), but ultra-low wear can still be achieved. The ultra-low wear was attributed to sufficient adsorption and the hydrogen-bond network of the lubricant at the friction pair surface, which effectively reduced the direct contact of the friction pair. This work inspirates the research of green ultra-low wear lubricants and promotes the broad application of ultra-low wear technology in engineering.","PeriodicalId":12442,"journal":{"name":"Friction","volume":"26 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143926944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0