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Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test

Fiber-reinforced polymer composite structures are frequently used in industries where personal safety is critical; therefore, it is important to periodically estimate or monitor the condition of high value, load bearing structures. The digital image correlation (DIC) is well known as an effective me...

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Autores principales: Szebényi, Gábor, Hliva, Viktor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473743/
https://www.ncbi.nlm.nih.gov/pubmed/30960507
http://dx.doi.org/10.3390/polym11030523
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author Szebényi, Gábor
Hliva, Viktor
author_facet Szebényi, Gábor
Hliva, Viktor
author_sort Szebényi, Gábor
collection PubMed
description Fiber-reinforced polymer composite structures are frequently used in industries where personal safety is critical; therefore, it is important to periodically estimate or monitor the condition of high value, load bearing structures. The digital image correlation (DIC) is well known as an effective method to obtain full field surface strains; in this paper, it was used to detect artificial damage inside the structures. Carbon or glass fabric reinforced epoxy specimens were produced and tested. All specimens contained an artificial through-delamination which was created by the insertion of different foils of a mould release agent during production. Tensile and compression tests were done while the camera system collected the images of the deformed surface to be analyzed posteriorly. In most cases the approximate locations of delaminations could be effectively detected from strain maps by the localization of zones showing different strain values than intact zones.
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spelling pubmed-64737432019-05-03 Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test Szebényi, Gábor Hliva, Viktor Polymers (Basel) Article Fiber-reinforced polymer composite structures are frequently used in industries where personal safety is critical; therefore, it is important to periodically estimate or monitor the condition of high value, load bearing structures. The digital image correlation (DIC) is well known as an effective method to obtain full field surface strains; in this paper, it was used to detect artificial damage inside the structures. Carbon or glass fabric reinforced epoxy specimens were produced and tested. All specimens contained an artificial through-delamination which was created by the insertion of different foils of a mould release agent during production. Tensile and compression tests were done while the camera system collected the images of the deformed surface to be analyzed posteriorly. In most cases the approximate locations of delaminations could be effectively detected from strain maps by the localization of zones showing different strain values than intact zones. MDPI 2019-03-20 /pmc/articles/PMC6473743/ /pubmed/30960507 http://dx.doi.org/10.3390/polym11030523 Text en © 2019 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
Szebényi, Gábor
Hliva, Viktor
Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title_full Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title_fullStr Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title_full_unstemmed Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title_short Detection of Delamination in Polymer Composites by Digital Image Correlation—Experimental Test
title_sort detection of delamination in polymer composites by digital image correlation—experimental test
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473743/
https://www.ncbi.nlm.nih.gov/pubmed/30960507
http://dx.doi.org/10.3390/polym11030523
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