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Graphical Abstract
Static Friction at Fractal Interfaces
Tribology International 2016, vol. 93, 229-238

Graphical Abstract Static Friction at Fractal Interfaces Tribology International 2016, vol. 93, 229-238

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Citations

... G. Huang et al. meanwhile, greatly influences the natural frequency and frictional response of the whole machine [7]. It is therefore essential to precisely model the features of rough surface and accurately calculate the tangential contact stiffness for better characterization of mechanical systems [8][9][10]. ...
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... The coefficient of static friction depends on the combined effects of material deformation characteristics and surface roughness, both of which originate from the chemical bonding between the atoms of the materials between their surfaces and any adsorbed material. The fractality of surfaces, a parameter that describes the integration of structural and molecular interactions across a range of scales of surface roughness, plays an important role in determining the magnitude of static friction [5]. The amount of friction generated depends primarily on the materials which are in sliding contact, the coefficient of friction (μ) is a dimensionless quantity that describes the ratio of the force of the friction between two bodies and the force of them pressing together. ...
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... Friction and wear processes occupy a special place among the factors afecting the reliability of friction pairs. Te evaluation of these processes is complicated since the kinetics of their fow depend on the specifc pressure between the interacting surface layers, microstructural changes of the surface layer, and chemical reactions between the materials of the friction pairs [1][2][3]. ...
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... A fractal dimension is a term used in the mathematics field of geometry to provide a logical statistical index of a pattern's level of complexity ( [5]). In order to identify relationships between surface structure and scaling behavior and performance, such as frictional behavior, fractal dimensions are being used more and more in recent years ( [6]). Although the mechanisms of gas adsorption, desorption, diffusion and other physical and chemical processes in coal seams are different, they have one thing in common, that is, the surface irregularity of coal samples has an important impact on these mechanisms ( [7,8]). ...
... Compared with the modified coal samples of the six different surfactants, the coal samples modified by SDBS and rhamnolipid had the strongest gas desorption abilities. (6) In the context of sustainable considerations, the optimal surfactant order is: rhamnolipid, CDEA, tea saponin, and sucrose ester, from the perspective of fractal dimension D S . Meanwhile, from the perspective of NMR, the optimal surfactant order is: tea saponin, rhamnolipid, CDEA, and sucrose ester. ...
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... In theory, it may be possible to tailor the friction of rough surfaces by adjusting appropriate surface parameters. For example, numerical modelling in Hanaor et al. [20] revealed greater friction for surfaces exhibiting higher fractality. However, controlling and adjusting rough surface parameters (such as the fractal dimension) is extremely challenging in practice. ...
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... As higher surface slopes result greater normal forces at contact points, surfaces of greater fractality unsurprisingly exhibit a general tendency towards higher resistance to shear and a larger macroscopically observed coefficient of friction. [10] According to an article published by The Hebrew University of Jerusalem, "while frictional motion is often thought of as the motion of two bodies against each other, separated by a perfectly smooth plane, in fact, due to the microscopic roughness of sliding surfaces, all of the contact between sliding bodies takes place in only a tiny area". Thus, only a sparsely spaced microscopic "bumps" are responsible for maintaining the contact between two sliding bodies. ...
... For many applications, it is sufficient to describe static friction and the crossover to sliding according the linear Amonton's law, where the coefficient of friction is proportional to the applied load, However, for small loads, for complex couplings between surfaces, for physiochemical interactions, or for soft contacts, the shear resistance may not follow a linear dependence with load, and time effects may become relevant [24,25]. In addition to the dependence on the normal load, there may be a dependence on the contact area due to a shear resistance arising from atomic or molecular friction due to contact bonding or intermolecular adhesion at the contacts [26]. ...
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... It is important to understand that the COF is a system property. Several mechanisms occur simultaneously on certain scales, including the surface asperity interaction, molecular forces, and the shear properties of the solids and of the substances between the surfaces [2,3]. Previous studies have shown that three mechanisms of friction can be isolated to describe the effects within a tribological system: adhesion, tribochemistry, and deformation [4][5][6][7]. ...
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The coefficient of friction (COF) is an important parameter for mechanical engineers to consider when designing frictional connections. Previous work has shown that a surface microstructuring of the harder friction partner leads to a significant increase in the COF. However, the impact of the changes in the tribological system on the COF are not known in detail. In this study, the tribological influence factors such as the nominal surface pressure, the material pairing, lubrication, and the surface properties of the counterbody are investigated. Microstructuring is applied by turn-milling of an annular contact surface of cylindrical specimens. A torsional test bench is used to measure the torque depending on the displacement of the two specimens, thus enabling the determination of the COF. All tests with the microstructured specimens result in higher COF than the reference test with unstructured samples. The manufacturing process of the counterbody surface, the nominal surface pressure, and the materials in contact have a significant influence on the COF. While lubrication reduces friction in the case of unstructured specimens, the COF does not change significantly for microstructured samples. This proves that the deformative friction component dominates over the adhesive. Microstructuring the harder friction partner increases the transmittable torque in frictional connections and reduces the sensitivity towards possible contamination with lubricants.
... They found that the number of asperities in contact plays a significant role in the development of surface structure and resultant frictional force. In their subsequent contribution, Hanaor et al. (2016) proposed a roughness modelling approach for the prediction of static friction between rough-to-rough surfaces. Their model facilitates an understanding of how molecular scale friction and adhesive interactions contribute to the development of frictional forces. ...
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This paper describes a systematic study of the effect of fractal rough surfaces on the contact area with the aim of advancing contact constitutive laws used in the Discrete Element Method. An in-house Boundary Element code is adopted to investigate the mechanical behaviour of computer-generated surface roughness. Surfaces are generated to have methodically controlled root mean square height (Sq), root mean square gradient (Sdq), short wavevector (q0), large wavevector (q1), Hurst exponent (H) and fractal dimension (Df). The effect of each parameter on the contact area is investigated. Two recently proposed analytical solutions in tribology (i.e. Persson-Tosatti and Pastewka-Robbins) are applied to predict the real contact area. A parameter based on Sq, q0, and H is proposed and its sensitivity for real contact area prediction is demonstrated. Surfaces of natural sand are simulated and their mechanical response shows similar trend as the computer-generated surfaces, albeit more complex.