The statistical correlation of the coefficient of friction and wear rate of PTFE composites with steel counterface roughness and hardness

Wieleba, Wojciech

doi:10.1016/s0043-1648(02)00029-7

Cited by 102 publications

(50 citation statements)

References 9 publications

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“…Myers [18] reported that the rms of the first derivative of surface profile was most useful in predicting friction. Wieleba [19] reported that the roughness parameters related to the shape of asperities of the profile (i.e., mean peak spacing (S m ), average profile slope (D a ), and core roughness depth (R k )) had the strongest influence on the coefficient of friction. Singh et al [20] reported that the amplitude parameter S q (rms deviation of surface), spatial parameters S ds (density of summits), and S td (texture direction) play important roles in determining the frictional behavior of the surfaces.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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

et al. 2010

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“…However, it is possible that two surface textures can have the same R a , but their frictional characteristics could be different (Menezes et al 2006a,b). Considerable amount of work also has been done to study the influence of various roughness parameters on coefficient of friction (Lundberg 1995;Myers 1962;Hirst & Hollander 1974;Bello & Walton 1987;Wieleba 2002;Singh et al 2005). Lundberg (1995) studied the influence of surface roughness on normal sliding lubrication and reported that the R max and R t were the most significant surface roughness parameters with regard to influence on lubrication.…”

Section: Introductionmentioning

confidence: 99%

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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“…As far as hardness and roughness were concerned, Wieleba [31] modeled the friction under the dry condition between the PTFE and steel plate. He suggested that the roughness parameters related to the shape of asperities of the profile have strongest influence on the coefficient of friction, while the parameters related to the height of asperities have the strongest influence on the wear of PTFE.…”

Section: Numerical Simulationsmentioning

confidence: 99%

Friction predication on pin-to-plate interface of PTFE material and steel

Mueller

2018

Friction

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Abstract:In this paper, the friction behavior at a pin-to-plate interface is investigated. The pin and plate are made of Polytetrafluoroethylene (PTFE) and steel, respectively, and there is a reciprocating motion at the interface. Governing mathematical models for the relations of design variables and frictions are investigated, and a general procedure is proposed to solve the developed models and predict the friction forces at the interface subjected to given test conditions. Novel models have been developed to represent intrigued friction behaviors affected by various factors such as pin geometrics and finishes, lubrication conditions, and reciprocating speed. The test data from experiments is used to verify the effectiveness of the proposed models.

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The statistical correlation of the coefficient of friction and wear rate of PTFE composites with steel counterface roughness and hardness

Cited by 102 publications

References 9 publications

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

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

Influence of roughness parameters on coefficient of friction under lubricated conditions

Friction predication on pin-to-plate interface of PTFE material and steel

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