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Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis

The fundamental issue in surface metrology is to provide methods that can allow the establishment of correlations between measured topographies and performance or processes, or that can discriminate confidently topographies that are processed or performed differently. This article presents a set of...

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Autores principales: Bartkowiak, Tomasz, Grochalski, Karol, Gapiński, Bartosz, Wieczorowski, Michał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624860/
https://www.ncbi.nlm.nih.gov/pubmed/34832444
http://dx.doi.org/10.3390/ma14227044
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author Bartkowiak, Tomasz
Grochalski, Karol
Gapiński, Bartosz
Wieczorowski, Michał
author_facet Bartkowiak, Tomasz
Grochalski, Karol
Gapiński, Bartosz
Wieczorowski, Michał
author_sort Bartkowiak, Tomasz
collection PubMed
description The fundamental issue in surface metrology is to provide methods that can allow the establishment of correlations between measured topographies and performance or processes, or that can discriminate confidently topographies that are processed or performed differently. This article presents a set of topographies from two-staged processed steel rings, measured with a 3D contact profilometer. Data were captured individually from four different regions, namely the top, bottom, inner, and outer surfaces. The rings were manufactured by drop forging and hot rolling. Final surface texture was achieved by mass finishing with spherical ceramic media or cut wire. In this study, we compared four different multiscale methods: sliding bandpass filtering, three geometric length- and area-scale analyses, and the multiscale curvature tensor approach. In the first method, ISO standard parameters were evaluated as a function of the central wavelength and bandwidth for measured textures. In the second and third method, complexity and relative length and area were utilized. In the last, multiscale curvature tensor statistics were calculated for a range of scales from the original sampling interval to its forty-five times multiplication. These characterization parameters were then utilized to determine how confident we can discriminate (through F-test) topographies between regions of the same specimen and between topographies resulting from processing with various technological parameters. Characterization methods that focus on the geometrical properties of topographic features allowed for discrimination at the finest scales only. Bandpass filtration and basic height parameters Sa and Sq proved to confidently discriminate against all factors at all three considered bandwidths.
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spelling pubmed-86248602021-11-27 Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis Bartkowiak, Tomasz Grochalski, Karol Gapiński, Bartosz Wieczorowski, Michał Materials (Basel) Article The fundamental issue in surface metrology is to provide methods that can allow the establishment of correlations between measured topographies and performance or processes, or that can discriminate confidently topographies that are processed or performed differently. This article presents a set of topographies from two-staged processed steel rings, measured with a 3D contact profilometer. Data were captured individually from four different regions, namely the top, bottom, inner, and outer surfaces. The rings were manufactured by drop forging and hot rolling. Final surface texture was achieved by mass finishing with spherical ceramic media or cut wire. In this study, we compared four different multiscale methods: sliding bandpass filtering, three geometric length- and area-scale analyses, and the multiscale curvature tensor approach. In the first method, ISO standard parameters were evaluated as a function of the central wavelength and bandwidth for measured textures. In the second and third method, complexity and relative length and area were utilized. In the last, multiscale curvature tensor statistics were calculated for a range of scales from the original sampling interval to its forty-five times multiplication. These characterization parameters were then utilized to determine how confident we can discriminate (through F-test) topographies between regions of the same specimen and between topographies resulting from processing with various technological parameters. Characterization methods that focus on the geometrical properties of topographic features allowed for discrimination at the finest scales only. Bandpass filtration and basic height parameters Sa and Sq proved to confidently discriminate against all factors at all three considered bandwidths. MDPI 2021-11-20 /pmc/articles/PMC8624860/ /pubmed/34832444 http://dx.doi.org/10.3390/ma14227044 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bartkowiak, Tomasz
Grochalski, Karol
Gapiński, Bartosz
Wieczorowski, Michał
Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title_full Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title_fullStr Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title_full_unstemmed Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title_short Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
title_sort discrimination of surface topographies created by two-stage process by means of multiscale analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624860/
https://www.ncbi.nlm.nih.gov/pubmed/34832444
http://dx.doi.org/10.3390/ma14227044
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