Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Materials research (São Carlos. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204 |
Resumo: | Abstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups. |
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Materials research (São Carlos. Online) |
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|
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Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step HomogenizationGlass Fiber Reinforced PolymerNumerical HomogenizationNon-destructive testingImage SegmentationFinite Element MethodMicro-CTAbstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups.ABM, ABC, ABPol2023-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204Materials Research v.26 2023reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2022-0252info:eu-repo/semantics/openAccessVianna,Rafael da S.Pereira,André M.B.Leiderman,RicardoVieira,Janine D.eng2022-12-06T00:00:00Zoai:scielo:S1516-14392023000100204Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2022-12-06T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
title |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
spellingShingle |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization Vianna,Rafael da S. Glass Fiber Reinforced Polymer Numerical Homogenization Non-destructive testing Image Segmentation Finite Element Method Micro-CT |
title_short |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
title_full |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
title_fullStr |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
title_full_unstemmed |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
title_sort |
Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization |
author |
Vianna,Rafael da S. |
author_facet |
Vianna,Rafael da S. Pereira,André M.B. Leiderman,Ricardo Vieira,Janine D. |
author_role |
author |
author2 |
Pereira,André M.B. Leiderman,Ricardo Vieira,Janine D. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Vianna,Rafael da S. Pereira,André M.B. Leiderman,Ricardo Vieira,Janine D. |
dc.subject.por.fl_str_mv |
Glass Fiber Reinforced Polymer Numerical Homogenization Non-destructive testing Image Segmentation Finite Element Method Micro-CT |
topic |
Glass Fiber Reinforced Polymer Numerical Homogenization Non-destructive testing Image Segmentation Finite Element Method Micro-CT |
description |
Abstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-5373-mr-2022-0252 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
ABM, ABC, ABPol |
publisher.none.fl_str_mv |
ABM, ABC, ABPol |
dc.source.none.fl_str_mv |
Materials Research v.26 2023 reponame:Materials research (São Carlos. Online) instname:Universidade Federal de São Carlos (UFSCAR) instacron:ABM ABC ABPOL |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
ABM ABC ABPOL |
institution |
ABM ABC ABPOL |
reponame_str |
Materials research (São Carlos. Online) |
collection |
Materials research (São Carlos. Online) |
repository.name.fl_str_mv |
Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
dedz@power.ufscar.br |
_version_ |
1754212681941778432 |