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Roughness evaluation of turned composite surfaces by analysis of the shape of Autocorrelation Function
Abstract
In this paper, the application of an Autocorrelation Function for the characterisation of surface topography was validated. The roughness evaluation of turned composite surfaces was supported by sophisticated studies of the Autocorrelation Function properties, considering especially the shape of the function. Details were measured with the optical method. The selection of the surface roughness evaluation procedures was carried out based on the Autocorrelation Function for both profile and areal analyses. Moreover, the application of various types of regular analysis methods, proposed in commercial software, like regular Gaussian regression and robust Gaussian functions, median de-noising, regular isotropic Spline, and fast Fourier transform filters, was proposed for the evaluation of surface topography parameters from the ISO 25178 standards. It was found that many common techniques, like commonly used filters, spectral analysis, and characterisation of texture direction, were supported by the proposed Autocorrelation Function studies. Moreover, the hard thresholding technique was found to be valuable in the comprehensive noise-suppression analysis.
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Authors (6)
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Grzegorz Lesiuk
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Ricardo Branco
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Grzegorz Królczyk
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.measurement.2023.113640
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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MEASUREMENT
no. 222,
ISSN: 0263-2241 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Podulka P., Macek W., Zima B., Lesiuk G., Branco R., Królczyk G.: Roughness evaluation of turned composite surfaces by analysis of the shape of Autocorrelation Function// MEASUREMENT -Vol. 222, (2023), s.113640-
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.measurement.2023.113640
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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