Friction最新文献_第7页

Bionic functional membranes for separation of oil-in-water emulsions 用于分离水包油型乳液的仿生功能膜

IF 6.8 1区工程技术

Friction Pub Date : 2024-05-01 DOI: 10.1007/s40544-023-0819-6

Chaolang Chen, Ruisong Jiang, Zhiguang Guo

{"title":"Bionic functional membranes for separation of oil-in-water emulsions","authors":"Chaolang Chen, Ruisong Jiang, Zhiguang Guo","doi":"10.1007/s40544-023-0819-6","DOIUrl":"https://doi.org/10.1007/s40544-023-0819-6","url":null,"abstract":"The separation of oil-in-water emulsion is an urgent challenge because its massive production and discharge from daily and industrial activities have caused severe hazards to the ecosystem and serious threats to human health. Membrane technology is considered an outstanding solution strategy for the separation of oil-in-water emulsions due to its unique advantages of low cost, high efficiency, easy operation, and environmental friendliness. However, the membrane is easily fouled by the emulsion oil droplets during the separation process, causing a sharp decline in permeation flux, which greatly inhibits the long-term use of the membrane and largely shortens the membrane’s life. Recently, it was found that endowing the membranes with special wettability e.g., superhydrophilic and superoleophobic can greatly enhance the permeability of the continuous water phase and inhibit the adhesion of oil droplets, thus promoting the separation performance and anti-oil-fouling property of membrane for oily emulsions. In this paper, we review and discuss the recent developments in membranes with special wettability for separating oil-in-water emulsions, including the mechanism analysis of emulsion separation membrane, membrane fouling issues, design strategies, and representative studies for enhancing the membrane’s anti-oil-fouling ability and emulsion separation performance.","PeriodicalId":12442,"journal":{"name":"Friction","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140845478","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

Experiment and modelling of texture and sliding direction dependence on finger friction behavior 手指摩擦行为与纹理和滑动方向关系的实验和建模

IF 6.8 1区工程技术

Friction Pub Date : 2024-04-15 DOI: 10.1007/s40544-023-0816-9

Yuanzhe Li, Xue Zhou, Pengpeng Bai, Zhonghuan Xiang, Yonggang Meng, Liran Ma, Yu Tian

{"title":"Experiment and modelling of texture and sliding direction dependence on finger friction behavior","authors":"Yuanzhe Li, Xue Zhou, Pengpeng Bai, Zhonghuan Xiang, Yonggang Meng, Liran Ma, Yu Tian","doi":"10.1007/s40544-023-0816-9","DOIUrl":"https://doi.org/10.1007/s40544-023-0816-9","url":null,"abstract":"Humans rely on their fingers to sense and interact with external environment. Understanding the tribological behavior between finger skin and object surface is crucial for various fields, including tactile perception, product appearance design, and electronic skin research. Quantitatively describing finger frictional behavior is always challenging, given the complex structure of the finger. In this study, the texture and sliding direction dependence of finger skin friction was quantified based on explicit mathematic models. The proposed double-layer model of finger skin effectively described the nonlinear elastic response of skin and predicted the scaling-law of effective elastic modulus with contact radius. Additionally, the skin friction model on textured surface considering adhesion and deformation factors was established. It revealed that adhesive term dominated finger friction behavior in daily life, and suggested that object texture size mainly influenced friction-induced vibrations rather than the average friction force. Combined with digital image correlation (DIC) technique, the effect of sliding direction on finger friction was analyzed. It was found that the anisotropy in finger friction was governed by the finger’s ratchet pawl structure, which also contributes to enhanced stick-slip vibrations in the distal sliding direction. The proposed friction models can offer valuable insights into the underlying mechanism of skin friction under various operating conditions, and can provide quantitative guidance for effectively encoding friction into haptics.\u0000","PeriodicalId":12442,"journal":{"name":"Friction","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884093","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

Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms 利用机器学习算法对铜/铝-石墨自润滑复合材料的摩擦学特性进行建模和预测

IF 6.8 1区工程技术

Friction Pub Date : 2024-04-02 DOI: 10.1007/s40544-023-0847-2

Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

{"title":"Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms","authors":"Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu","doi":"10.1007/s40544-023-0847-2","DOIUrl":"https://doi.org/10.1007/s40544-023-0847-2","url":null,"abstract":"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 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 data. Results demonstrated that ML models could satisfactorily predict friction coefficient and wear rate from the material properties and testing method variables data. Herein, the LSBoost model based on the integrated learning algorithm presented the best prediction performance for friction coefficients and wear rates, with R2 of 0.9219 and 0.9243, respectively. Feature 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.\u0000","PeriodicalId":12442,"journal":{"name":"Friction","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140343464","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 new 3D plastoelastohydrodynamic lubrication model for rough surfaces 粗糙表面的新型三维塑性体流体动力润滑模型

IF 6.8 1区工程技术

Friction Pub Date : 2024-04-02 DOI: 10.1007/s40544-023-0793-z

Shengyu You, Jinyuan Tang, Qiang Wang

{"title":"A new 3D plastoelastohydrodynamic lubrication model for rough surfaces","authors":"Shengyu You, Jinyuan Tang, Qiang Wang","doi":"10.1007/s40544-023-0793-z","DOIUrl":"https://doi.org/10.1007/s40544-023-0793-z","url":null,"abstract":"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 elastic-plastic deformation of rough surface and its influence on the solution results of R-PEHL model. In this paper, a new contact calculation model of plastoelastohydrodynamic lubrication (PEHL) with three-dimensional (3D) rough surface is proposed by integrating numerical method of EHL and finite element method. The new model eliminates an original error introduced by the assumption of semi-infinite space in contact calculation, providing wide applicability and high accuracy. Under the given rough surfaces and working conditions, the study reveals that: (1) the oil film pressure calculated by the new model is lower than that of the smooth surface in semi-infinite space by 200–800 MPa; (2) the Mises stress of the new model is 2.5%–26.6% higher than that of the smooth surface in semi-infinite space; (3) compared with the semi-infinite space assumption, the rough surface plastic deformation of the new model is increased by 71%–173%, and the local plastic deformation singularity may appear under the semi-infinite space assumption; (4) the plastic deformation caused by the first contact cycle on the rough surface of the new model accounts for 66.7%–92.9% of the total plastic deformation, and the plastic deformation of the semi-infinite space accounts for 50%–83.3%. This study resolves the contradiction between the smooth surface assumption and the rough surface in the existing R-PEHL model, establishing a solid logic foundation for the accurate solution of R-PEHL model.","PeriodicalId":12442,"journal":{"name":"Friction","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140343511","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

High temperature lubrication performance of chlorophenyl silicone oil 氯苯基硅油的高温润滑性能

IF 6.8 1区工程技术

Friction Pub Date : 2024-03-13 DOI: 10.1007/s40544-023-0827-6

Yan Meng, Xiangli Wen, Jie Cheng, Pengpeng Bai, Yonggang Meng, Yu Tian

引用次数: 1

Research progresses of nanomaterials as lubricant additives 纳米材料作为润滑油添加剂的研究进展

IF 6.8 1区工程技术

Friction Pub Date : 2024-03-13 DOI: 10.1007/s40544-023-0808-9

Z. Jiang, Yankun Sun, Bokang Liu, Laigui Yu, Yuping Tong, Mingming Yan, Zhongzheng Yang, Yongxing Hao, Linjian Shangguan, Shengmao Zhang, Weihua Li

引用次数: 0

Mechanism and application of mechanical property improvements in engineering materials by pulsed magnetic treatment: A review 脉冲磁处理改善工程材料力学性能的机理和应用：综述