Describing ground surface texture using contact profilometry and fractal analysis

Brown, Christopher; Savary, Gilles

doi:10.1016/0043-1648(91)90269-z

Cited by 94 publications

(38 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scale region is indicated with the slope. In these cases, local minima in relative lengths can be found at integer multiples of the wavelength of the periodic structures [63]. In these cases, local minima in relative lengths can be found at integer multiples of the wavelength of the periodic structures [63].…”

Section: Linear Fractal Methodsmentioning

confidence: 96%

“…Area-scale analysis also appears useful in electrochemical impedance [70], gloss [71] and scattering [72]. This kind of scale-based discrimination has been successful on pharmaceuticals [73], microwear on teeth [63] and ground polyethylene ski bases [74]. This kind of scale-based discrimination has been successful on pharmaceuticals [73], microwear on teeth [63] and ground polyethylene ski bases [74].…”

Section: Figure 827mentioning

confidence: 99%

See 1 more Smart Citation

Surface Topography Characterisation

Leach¹

2014

Fundamental Principles of Engineering Nanometrology

View full text Add to dashboard Cite

Section: Linear Fractal Methodsmentioning

confidence: 96%

Section: Figure 827mentioning

confidence: 99%

Surface Topography Characterisation

Leach¹

2014

Fundamental Principles of Engineering Nanometrology

View full text Add to dashboard Cite

“…The roughness of the tool or details of the grit surfaces influence the final topography of the generated surface at the lowest length scales (10 -9 -10 -6 m). It has been shown that surfaces formed by electric discharge machining, milling, cutting or grinding and worn surfaces (Brown and Savary 1991;Tricot et al 1994;Hasegawa et al 1996;He and Zhu 1997;Ge and Chen 1999;Zhang et al 2001;Jiang et al 2001;Zhu et al 2003;Jahn and Truckenbrodt 2004;Kang et al 2005;Han et al 2005) have fractal structures, and fractal parameters can reflect the intrinsic properties of surfaces to overcome the disadvantages of conventional roughness parameters. Thus, to characterize the roughness of machined surfaces in different machining processes fractal dimension is used as the roughness parameter.…”

Section: Introductionmentioning

confidence: 99%

Fundamental Consideration

Sahoo¹,

Barman²,

Davim³

2011

Fractal Analysis in Machining

View full text Add to dashboard Cite

The importance and usefulness of fractal dimension in describing surface roughness over the conventional roughness parameters are presented in this chapter. The fundamental of fractal dimension and the methodology for evaluation of fractal dimension are also discussed. Literature survey is carried out for four different types of machining processes and shows that there is scarcity of literatures which deal with fractal description of surface roughness. Fundamentals of design of experiments and response surface methodology are also discussed. IntroductionSurfaces are irregular though they may look like very smooth. When the surfaces are magnified, the irregularities become prominent. This is true for the machining surfaces as well. In a material removal process such as machining, unwanted material is removed and altered surface topography is obtained. The surface generated consists of inherent irregularities left by the cutting tool, which are commonly defined as surface roughness. Such a surface is composed of a large number of length scales of superimposed roughness that are generally characterized by the standard deviation of surface peaks. Three statistical characteristics are generally used to describe the structure of machined surface topography: texture, waviness and roughness. The texture determines the anisotropic property of the surface. The waviness reflects the reference profile (or surface). The surface roughness is formed by the micro deformation during the machining process.Surface roughness plays an important role. It has large impact on the mechanical properties like fatigue behavior, corrosion resistance, creep life, etc.It also affects other functional attributes of machine components like friction, wear, light reflection, heat transmission, lubrication, electrical conductivity, etc. Surface roughness may depend on various factors like machining parameters, work-piece materials, cutting tool properties, cutting phenomenon, etc. In a review P. Sahoo et al.,

show abstract

“…The procedure of roughness analysis using fractal analysis included the following: As described in [10] based on fractal analysis the plots showing the relative length as function of scale length can be drawn. Also the following characteristic parameters describing the measured surface roughness profiles can be derived [17,18]:…”

Section: Methodsmentioning

confidence: 99%

Effect of Surface Roughness on Early Stage Oxidation Behavior of Ni-Base Superalloy IN 625

Nowak

2018

ASI

View full text Add to dashboard Cite

Abstract:In the present work the effect of surface roughness on oxidation behavior during the early stages of high temperature exposure of Ni-base superalloy IN 625 is described. The surface roughness was described using standard contact profilometer as well as novel method, fractal analysis. It was found that the different surface preparation resulted in a difference in roughness with a parameter increase of at least one order of magnitude for the ground sample as compared with the polished sample. The oxidation test was performed in a horizontal tube furnace. Post-exposure analyses including glow discharge optical emission spectrometry (GD-OES) and scanning electron microscopy (SEM), which revealed that grinding lowers the oxidation kinetics of IN 625 from 1.76 × 10 −12 cm 2 ·s −1 , obtained for polished sample, to 9.04 × 10 −13 cm 2 ·s −1 . It was found that surface preparation influences the oxide scale composition and morphology. The hypothesis explaining the mechanism responsible for the changes in oxidation behavior is proposed as well.

show abstract

Describing ground surface texture using contact profilometry and fractal analysis

Cited by 94 publications

References 19 publications

Surface Topography Characterisation

Surface Topography Characterisation

Fundamental Consideration

Effect of Surface Roughness on Early Stage Oxidation Behavior of Ni-Base Superalloy IN 625

Contact Info

Product

Resources

About