The parameter rash — is there a cure?

Whitehouse, David

doi:10.1016/0043-1648(82)90341-6

Cited by 132 publications

(66 citation statements)

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“…Because of the increasing interests from science and industry, a proliferation of roughness parameters, possibly running into hundreds, has been triggered to describe the different kinds of surface morphology with regard to specific functions, properties or applications but also to characterize materials degradation submit to different tribological mechanisms. In spite of such parameter's proliferation, termed by Whitehouse as "parameter rash" (Whitehouse 1982), there is still no complete comprehensive view on the relevance of these roughness parameters. Moreover, it is difficult to choose one (pertinent) parameter rather than another one.…”

Section: Introductionmentioning

confidence: 99%

How to select the most relevant 3D roughness parameters of a surface

2013

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This is the pre-peer reviewed version of the following article: Deltombe R., Kubiak K.J., Bigerelle M, How to select the most relevant 3D roughness parameters of a surface (2011) Summary:In order to conduct a comprehensive roughness analysis, around sixty 3D roughness parameters are created to describe most of the surface morphology with regard to specific functions, properties or applications. In this paper, a multiscale surface topography decomposition method is proposed with application to stainless steel (AISI 304), which is processed by rolling at different fabrication stages and by electrical discharge tool machining. Fifty-six 3Droughness parameters defined in ISO, EUR, and ASME standards are calculated for the measured surfaces. Then, expert software "MesRug" is employed to perform statistical analysis on acquired data in order to find the most relevant parameters characterizing the effect of both processes (rolling and machining), and to determine the most appropriate scale of analysis. For the rolling process: The parameter Vmc (the Core Material Volume-defined as volume of material comprising the texture between heights corresponding to the material ratio values of p = 10% and q = 80%) computed at the scale of 3 mm is the most relevant parameter to characterize the cold rolling process. For the EDM Process, the best roughness parameter is SPD that represents the number of peaks per unit area after segmentation of a surface into motifs computed at the scale of 8 µm.

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Section: Introductionmentioning

confidence: 99%

How to select the most relevant 3D roughness parameters of a surface

2013

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“…However, surfaces are complex entities which cannot be described completely by a single or even a few numerical descriptors [6]. Numerous numerical parameters have been proposed in the past most of which are now redundant [7]. For example, Sa and Sq are a pair of highly correlated parameters.…”

Section: Introductionmentioning

confidence: 99%

Numerical characterisation of biomedical titanium surface texture using novel feature parameters

Wang

Jiang

Gurdak

et al. 2011

Wear

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In biomedicine, titanium materials with specific surface textures (for example, those produced using consecutive polishing, sandblasting and acid etching) are widely used to facilitate osseointegration of human/animal tissue with implant surface structures. The surface texture has a critical role on the material"s functionality in terms of cellular adhesion and proliferation. However, conventional surface topography characterisation parameters pertinent to cellular attachment such as Sds (density of summits of a surface) and Ssc (arithmetic mean summit curvature of a surface) are liable to be influenced by low amplitude high spatial frequency components or measurement noise. In this research, a novel feature characterisation, based on pattern recognition techniques is implemented on specially processed titanium surfaces. The mean dimensions and densities of the micro-scale features of the surfaces are extracted. The statistical analysis results demonstrate the efficiency and stability of the feature analysis compared to the use of conventional surface texture parameters. Additionally, potentially efficient parameters for characterisation of biomedical surfaces are indicated through the use of a one-way analysis of variance. As a case study, from the point of view of surface metrology, limited experimental data is presented; the intention of the authors is to give a guide to innovative use of the novel surface characterisation techniques. A large amount of biomedical experiments would be needed in the future to fully validate the correlation between the surface texture parameters and its biomedical functions but the present work provides a useful start point for a larger study.

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“…in which he put forward the argument that the number of surface texture parameters was becoming too large [1]. Inspired by this example, we offer a similar argument for the current set of published and proposed surface texture specification standards.…”

Section: Introductionmentioning

confidence: 99%

The standards rash – is there a cure?

Leach

Groot

2015

Int. J. Metrol. Qual. Eng.

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Abstract. In recent years there has been a proliferation of proposed specification standards for surface texture measurement and characterisation as part of ISO 25178. This note will discuss the background behind this proliferation and ask whether such a large number of standards is strictly necessary. An alternative framework will be suggested, which should keep the number of standards down to a minimum.

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The parameter rash — is there a cure?

Cited by 132 publications

References 0 publications

How to select the most relevant 3D roughness parameters of a surface

How to select the most relevant 3D roughness parameters of a surface

Numerical characterisation of biomedical titanium surface texture using novel feature parameters

The standards rash – is there a cure?

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