Three dimensional asperity analysis of worn surfaces

Czifra, Árpád; Váradi, Károly; Horváth, Sándor

doi:10.1007/s11012-008-9136-4

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…One of the groups of worn surfaces was created by abrasive wear processes where surfaces were characterized by scratches and grooves, while the other group of worn surfaces consisted of topographies to be characterized by splits/accretions as a result of adhesion or tribochemical processes. Wear test results and measurement methodologies are available in the following references (Czifra et al, 2008;Czifra and Horváth, 2011).…”

Section: Methodsmentioning

confidence: 99%

Sdq-Sdr Topological Map of Surface Topographies

Czifra

Barányi

2020

Front. Mech. Eng.

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The reliable characterization of surface topographies-especially in case of tribological processes-requires complex and comprehensive solution methods. The use of a combination of roughness parameters offers effective solutions in many cases. In our study, we found a close correlation between the Sdq-Sdr parameter pair and we applied the two parameters as a topological map. Surface topographies resulting from different machining techniques (turned, milled, ground, honed, electric discharge machined, and sintered) were placed in the topological map and their possibilities of use were explored. It was established that surfaces with an orientation characteristically have lower Sdq-Sdr value pairs than non-oriented or multi-oriented surfaces; however, surface defects, injuries and machining discrepancies increase the values of Sdq-Sdr parameters. Then the Sdq-Sdr topological map was applied for worn surfaces resulting from abrasive and tribochemical processes, and it was established that the worn surfaces examined are characterized by small Sdq-Sdr values. Test results showed that in case of manufacturing processes, the topological map is suitable for identifying manufacturing discrepancies and manufacturing defects, and it highlights structural changes in the microgeometry in the course of the wear process.

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Section: Methodsmentioning

confidence: 99%

Sdq-Sdr Topological Map of Surface Topographies

Czifra

Barányi

2020

Front. Mech. Eng.

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“…The height of the slicing plane was not fi The third method for determining the dominant wavelength was based on 3D surface roughness measurements. The roughness peaks were identified using the slicing method on the roughness topographies (see methodology in Figure 4 and details in [35]).…”

Section: Determination Of the Dominant Wavelengthmentioning

confidence: 99%

Micro- and Nano-Roughness Separation Based on Fractal Analysis

Czifra,

Ancza

2024

Materials

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When describing the tribological behaviour of technical surfaces, the need for full-length scale microtopographic characterization often arises. The self-affine of surfaces and the characterisation of self-affine using a fractal dimension and its implantation into tribological models are commonly used. The goal of our present work was to determine the frequency range of fractal behaviour of surfaces by analysing the microtopographic measurements of an anodised aluminium brake plunger. We also wanted to know if bifractal and multifractal behaviour can be detected in real machine parts. As a result, we developed a new methodology for determining the fractal range boundaries to separate the nano- and micro-roughness. To reach our goals, we used an atomic force microscope (AFM) and a stylus instrument to obtain measurements in a wide frequency range (19 nm–3 mm). Power spectral density (PSD)-based fractal evaluation found that the examined surface could not be characterised by a single fractal dimension. A new method capable of separating nano- and micro-roughness has been developed for investigating multifractal behaviour. The presented procedure separates nano- and micro-roughness based on the geometric characteristics of surfaces. In this way, it becomes possible to specifically examine the relationship between the micro-geometry that can be measured in each wavelength range and the effects of cutting technology and the material structure that creates them.

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“…By identifying the dominant topographic elements, slicing technique was used (see methodology on Figure 3 and details in [28]). Ratio of the small and large axis of the roughness peaks was determined.…”

Section: Characterisation Techniquesmentioning

confidence: 99%

Micro- and Nano-Roughness Separation Based on Fractal Analysis

Czifra,

Ancza

2023

Preprint

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When describing the tribological behaviour of technical surfaces, the need for full length scale microtopographic characterization often arises. The self-affine of surfaces and the characterization of self-affine by a fractal dimension and its implantation into tribological models are commonly used. The goal of our present work was to determine the frequency range of fractal behaviour of surfaces by analysing the microtopographic measurements of a brake plunger. We also wanted to know if the bifractal and multifractal behaviour can be detected in real machine parts. As a result, we developed a new methodology for determining the fractal range boundaries to separate the nano- and micro-roughness. In order to reach our goals, we used atomic force microscope (AFM) and stylus instrument to provide measurements in wide frequency range (19 nm - 3 mm). As a result of the power spectral density (PSD) based fractal evaluation, it was found that the examined surface could not be characterized by a single fractal dimension and that we developed a methodology for stopping the margin of validity of each fractal dimension, and we also developed a methodology for determining the limits of validity of certain fractal dimensions.

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Three dimensional asperity analysis of worn surfaces

Cited by 9 publications

References 11 publications

Sdq-Sdr Topological Map of Surface Topographies

Sdq-Sdr Topological Map of Surface Topographies

Micro- and Nano-Roughness Separation Based on Fractal Analysis

Micro- and Nano-Roughness Separation Based on Fractal Analysis

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