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Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description
Roping or ridging is a visual defect affecting the surface of ferritic stainless steels, assessed using visual inspection of the surfaces. The aim of this study was to quantify the morphological signature of roping to link roughness results with five levels of roping identified with visual inspectio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372347/ https://www.ncbi.nlm.nih.gov/pubmed/32646018 http://dx.doi.org/10.3390/ma13133040 |
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author | Marteau, Julie Deltombe, Raphaël Bigerelle, Maxence |
author_facet | Marteau, Julie Deltombe, Raphaël Bigerelle, Maxence |
author_sort | Marteau, Julie |
collection | PubMed |
description | Roping or ridging is a visual defect affecting the surface of ferritic stainless steels, assessed using visual inspection of the surfaces. The aim of this study was to quantify the morphological signature of roping to link roughness results with five levels of roping identified with visual inspection. First, the multiscale analysis of roughness showed that the texture aspect ratio S(tr) computed with a low-pass filter of 32 µm gave a clear separation between the acceptable levels of roping and the non-acceptable levels (rejected sheets). To obtain a gradation description of roping instead of a binary description, a methodology based on the use of the autocorrelation function was created. It consisted of several steps: a low-pass filtering of the autocorrelation function at 150 µm, the segmentation of the autocorrelation into four stabilized portions, and finally, the computation of isotropy and the root-mean-square roughness S(q) on the obtained quarters of function. The use of the isotropy combined with the root-mean-square roughness S(q) led to a clear separation of the five levels of roping: the acceptable levels of roping corresponded to strong isotropy (values larger than 10%) coupled with low root-mean-square roughness S(q). Both methodologies can be used to quantitatively describe surface morphology of roping in order to improve our understanding of the roping phenomenon. |
format | Online Article Text |
id | pubmed-7372347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73723472020-08-05 Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description Marteau, Julie Deltombe, Raphaël Bigerelle, Maxence Materials (Basel) Article Roping or ridging is a visual defect affecting the surface of ferritic stainless steels, assessed using visual inspection of the surfaces. The aim of this study was to quantify the morphological signature of roping to link roughness results with five levels of roping identified with visual inspection. First, the multiscale analysis of roughness showed that the texture aspect ratio S(tr) computed with a low-pass filter of 32 µm gave a clear separation between the acceptable levels of roping and the non-acceptable levels (rejected sheets). To obtain a gradation description of roping instead of a binary description, a methodology based on the use of the autocorrelation function was created. It consisted of several steps: a low-pass filtering of the autocorrelation function at 150 µm, the segmentation of the autocorrelation into four stabilized portions, and finally, the computation of isotropy and the root-mean-square roughness S(q) on the obtained quarters of function. The use of the isotropy combined with the root-mean-square roughness S(q) led to a clear separation of the five levels of roping: the acceptable levels of roping corresponded to strong isotropy (values larger than 10%) coupled with low root-mean-square roughness S(q). Both methodologies can be used to quantitatively describe surface morphology of roping in order to improve our understanding of the roping phenomenon. MDPI 2020-07-07 /pmc/articles/PMC7372347/ /pubmed/32646018 http://dx.doi.org/10.3390/ma13133040 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marteau, Julie Deltombe, Raphaël Bigerelle, Maxence Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title | Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title_full | Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title_fullStr | Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title_full_unstemmed | Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title_short | Quantification of the Morphological Signature of Roping Based on Multiscale Analysis and Autocorrelation Function Description |
title_sort | quantification of the morphological signature of roping based on multiscale analysis and autocorrelation function description |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372347/ https://www.ncbi.nlm.nih.gov/pubmed/32646018 http://dx.doi.org/10.3390/ma13133040 |
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