The effect of surface parameters on friction

Koura, Monir M.; Omar, Mohd Aliff

doi:10.1016/0043-1648(81)90293-3

Cited by 20 publications

(9 citation statements)

References 6 publications

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“…In addition, the roughness theory assumed that the frictional force is equal to the force required to climb up the asperity of slope θ and the coefficient of friction was given by μ = tan θ (Suh 1986). Koura & Omar (1981) studied the effect of surface roughness parameters on friction and pointed out that the average slope of the asperities was found to be the single parameter that correlated best with coefficient of friction. Torrance (1995) also reported that the slope of the asperities can be used to predict boundary friction and concluded that friction coefficient falls as the asperity slope of the harder surface falls.…”

Section: Resultsmentioning

confidence: 98%

Influence of roughness parameters on coefficient of friction under lubricated conditions

Menezes

Kishore

Kailas

2008

Sadhana

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Surface texture and thus roughness parameters influence coefficient of friction during sliding. In the present investigation, four kinds of surface textures with varying roughness were attained on the steel plate surfaces. The surface textures of the steel plates were characterized in terms of roughness parameter using optical profilometer. Then the pins made of various materials, such as Al-4Mg alloy, Al-8Mg alloy, Cu, Pb, Al, Mg, Zn and Sn were slid against the prepared steel plates using an inclined pin-on-plate sliding tester under lubricated conditions. It was observed that the surface roughness parameter, namely, R a , for different textured surfaces was comparable to one another although they were prepared by different machining techniques. It was also observed that for a given kind of surface texture the coefficient of friction did not vary with R a . However, the coefficient of friction changes considerably with surface textures for similar R a values for all the materials investigated. Thus, attempts were made to study other surface roughness parameters of the steel plates and correlate them with coefficient of friction. It was observed that among the surface roughness parameters, the mean slope of the profile, Del a( a ), was found to explain the variations best.

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Section: Resultsmentioning

confidence: 98%

Influence of roughness parameters on coefficient of friction under lubricated conditions

Menezes

Kishore

Kailas

2008

Sadhana

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“…In literature, many researchers have reported the effect of mean slope of the surfaces on friction. Koura and Omar [27] pointed out that the average slope of the asperities was found to be the single parameter that correlated best with coefficient of friction. Bhushan and Nosonovsky [28] reported that the coefficient of friction depends on the average slope of the rough surface.…”

Section: Roughness Analysismentioning

confidence: 97%

Role of Surface Texture, Roughness, and Hardness on Friction During Unidirectional Sliding

et al. 2010

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In the present investigation, experiments were conducted by unidirectional sliding of pins made of FCC metals (Pb, Al, and Cu) with significantly different hardness values against the steel plates of various surface textures and roughness using an inclined pin-on-plate sliding apparatus in ambient conditions under both the dry and lubricated conditions. For a given material pair, it was observed that transfer layer formation and the coefficient of friction along with its two components, namely adhesion and plowing, are controlled by the surface texture of the harder mating surfaces and are less dependent of surface roughness (R a ) of the harder mating surfaces. The effect of surface texture on the friction was attributed to the variation of the plowing component of friction for different surfaces. It was also observed that the variation of plowing friction as a function of hardness depends on surface textures. More specifically, the plowing friction varies with hardness of the soft materials for a given type of surface texture and it is independent of hardness of soft materials for other type of surface texture. These variations could be attributed to the extent of plane strain conditions taking place at the asperity level during sliding. It was also observed that among the surface roughness parameters, the mean slope of the profile, D a , correlated best with the friction. Furthermore, dimensionless quantifiable roughness parameters were formulated to describe the degree of plowing taking place at the asperity level.

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“…As a matter of fact, engineered surfaces prepared by various machining processes, for both meso-scale objects and micro-nano devices, are not ideally smooth, but with surface irregularities whose amplitudes span from few nanometers to few microns. 2 3 Early pioneering works have been shown that the friction between surfaces is substantially affected by the surface texture: [4][5][6] topography and density of peaks/valleys are expected to significantly influence tribological properties, especially when rough surfaces act as lubricated contacts. More recently, regular micro-scale surface texturing 7 8 and nano-scale surface patterning 9 have been observed to affect sliding behaviours.…”

Section: Introductionmentioning

confidence: 99%

Role of Roughness Parameters on the Tribology of Randomly Nano-Textured Silicon Surface

Gualtieri¹,

Pugno²,

Rota³

et al. 2011

J. Nanosci. Nanotech.

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This experimental work is oriented to give a contribution to the knowledge of the relationship among surface roughness parameters and tribological properties of lubricated surfaces; it is well known that these surface properties are strictly related, but a complete comprehension of such correlations is still far to be reached. For this purpose, a mechanical polishing procedure was optimized in order to induce different, but well controlled, morphologies on Si(100) surfaces. The use of different abrasive papers and slurries enabled the formation of a wide spectrum of topographical irregularities (from the submicro- to the nano-scale) and a broad range of surface profiles. An AFM-based morphological and topographical campaign was carried out to characterize each silicon rough surface through a set of parameters. Samples were subsequently water lubricated and tribologically characterized through ball-on-disk tribometer measurements. Indeed, the wettability of each surface was investigated by measuring the water droplet contact angle, that revealed a hydrophilic character for all the surfaces, even if no clear correlation with roughness emerged. Nevertheless, this observation brings input to the purpose, as it allows to exclude that the differences in surface profile affect lubrication. So it is possible to link the dynamic friction coefficient of rough Si samples exclusively to the opportune set of surface roughness parameters that can exhaustively describe both height amplitude variations (Ra, Rdq) and profile periodicity (Rsk, Rku, Ic) that influence asperity-asperity interactions and hydrodynamic lift in different ways. For this main reason they cannot be treated separately, but with dependent approach through which it was possible to explain even counter intuitive results: the unexpected decreasing of friction coefficient with increasing Ra is justifiable by a more consistent increasing of kurtosis Rku.

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The effect of surface parameters on friction

Cited by 20 publications

References 6 publications

Influence of roughness parameters on coefficient of friction under lubricated conditions

Influence of roughness parameters on coefficient of friction under lubricated conditions

Role of Surface Texture, Roughness, and Hardness on Friction During Unidirectional Sliding

Role of Roughness Parameters on the Tribology of Randomly Nano-Textured Silicon Surface

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