Wear mechanism and morphologic space in ceramic honing process

Mezari, R.A.; Pereira, Rafael S.; Sousa, Fábio José Pinheiro; Weingaertner, Walter Lindolfo; Fredel, Márcio C.

doi:10.1016/j.wear.2016.05.002

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…Swirad et al [ 65 ] found that these parameters are sensitive to burnishing parameters. Mezari et al obtained the relation between different kinds of honing stones and skewness and kurtosis [ 66 ]. Whitehouse [ 67 ] recommended parameters characterising Beta height distribution to discriminate textures of various types; however, this proposal did not gain popularity.…”

Section: Height Parametersmentioning

confidence: 99%

Functional Importance of Surface Texture Parameters

2021

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Areal 3D analysis of surface texture gives more opportunities than a study of 2D profiles. Surface topography evaluation, considered as 3D dimensional analysis in micro or nanoscales, plays an important role in many fields of science and life. Among many texture parameters, those connected with height are the most often used. However, there are many other parameters and functions that can provide additional important information regarding functional behaviour of surfaces in different applications. The knowledge about the functional importance of various surface properties is low. This review tries to fill this gap. Surface texture parameters are presented in various groups: height, spatial, hybrid, functional, feature, and others. Based on experiences of the present authors and literature review, the relationships among various surface parameters and functional properties are described. A proposal of a selection of parameters on the basis of their functional significations is provided. Considerations for future challenges are addressed.

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Section: Height Parametersmentioning

confidence: 99%

Functional Importance of Surface Texture Parameters

2021

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“…The parameters characterizing the shape of the surface topography ordinate distribution are also important in contact mechanics [20,22,23]. Typically, this shape is characterized by the skewness, Ssk, and the kurtosis, Sku [36][37][38].…”

Section: Of 20mentioning

confidence: 99%

Prediction of Parameters of Equivalent Sum Rough Surfaces

2020

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In statistical models, the contact of two surfaces is typically replaced by the contact of a smooth, flat, and an equivalent rough sum surface. For the sum surface, the zeroth, second, and fourth moments of the power spectral density m0, m2, and m4 respectively, are the sum of spectral moments of two contacted surfaces. In this work, the selected parameters of the sum surfaces were predicted when the parameters of individual surfaces are known. During parameters selection, it was found that the pair of parameters: Sp/Sz (the emptiness coefficient) and Sq/Sa, better described the shape of the probability ordinate distribution of the analyzed textures than the frequently applied pair: the skewness Ssk and the kurtosis Sku. It was found that the RMS height Sq and the RMS slope Sdq were predicted with very high accuracy. The accuracy of prediction of the average summit curvature Ssc, the areal density of summits Sds, and parameters characterizing the shape of the ordinate distribution Sp/Sz and Sq/Sa was also good (the maximum relative errors were typically smaller than 10%).

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“…Profiles with the predominance of valleys, Rsk is negative. However, if the valleys are filled, forming a plateau-peak, Rsk becomes positive [25].…”

Section: Surface Roughnessmentioning

confidence: 99%