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:	Tomasz Bartkowiak, Karol Grochalski, Bartosz Gapiński, Michał Wieczorowski
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	discrimination surface texture mass finishing multiscale hot rolling roughness Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
Acceso en línea:	https://doaj.org/article/81f35c26fec445ed9a73a8e086802a0d
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spelling	oai:doaj.org-article:81f35c26fec445ed9a73a8e086802a0d2021-11-25T18:15:55ZDiscrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis10.3390/ma142270441996-1944https://doaj.org/article/81f35c26fec445ed9a73a8e086802a0d2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/22/7044https://doaj.org/toc/1996-1944The 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.Tomasz BartkowiakKarol GrochalskiBartosz GapińskiMichał WieczorowskiMDPI AGarticlediscriminationsurface texturemass finishingmultiscalehot rollingroughnessTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 7044, p 7044 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	discrimination surface texture mass finishing multiscale hot rolling roughness Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
spellingShingle	discrimination surface texture mass finishing multiscale hot rolling roughness Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 Tomasz Bartkowiak Karol Grochalski Bartosz Gapiński Michał Wieczorowski Discrimination of Surface Topographies Created by Two-Stage Process by Means of Multiscale Analysis
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.
format	article
author	Tomasz Bartkowiak Karol Grochalski Bartosz Gapiński Michał Wieczorowski
author_facet	Tomasz Bartkowiak Karol Grochalski Bartosz Gapiński Michał Wieczorowski
author_sort	Tomasz Bartkowiak
title	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_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_sort	discrimination of surface topographies created by two-stage process by means of multiscale analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/81f35c26fec445ed9a73a8e086802a0d
work_keys_str_mv	AT tomaszbartkowiak discriminationofsurfacetopographiescreatedbytwostageprocessbymeansofmultiscaleanalysis AT karolgrochalski discriminationofsurfacetopographiescreatedbytwostageprocessbymeansofmultiscaleanalysis AT bartoszgapinski discriminationofsurfacetopographiescreatedbytwostageprocessbymeansofmultiscaleanalysis AT michałwieczorowski discriminationofsurfacetopographiescreatedbytwostageprocessbymeansofmultiscaleanalysis
_version_	1718411391559270400

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

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