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Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment

This data article presents fibre mechanical properties acquired using automated single fibre tensile testing equipment. The raw data consists of the fibre diameter, gauge length and load-displacement diagrams. A total of 690 fibres were tested across four carbon and one glass fibre type. The largest...

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Detalles Bibliográficos
Autores principales: Mesquita, Francisco, Bucknell, Steve, Leray, Yann, Lomov, Stepan V., Swolfs, Yentl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114124/
https://www.ncbi.nlm.nih.gov/pubmed/34013010
http://dx.doi.org/10.1016/j.dib.2021.107085
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author Mesquita, Francisco
Bucknell, Steve
Leray, Yann
Lomov, Stepan V.
Swolfs, Yentl
author_facet Mesquita, Francisco
Bucknell, Steve
Leray, Yann
Lomov, Stepan V.
Swolfs, Yentl
author_sort Mesquita, Francisco
collection PubMed
description This data article presents fibre mechanical properties acquired using automated single fibre tensile testing equipment. The raw data consists of the fibre diameter, gauge length and load-displacement diagrams. A total of 690 fibres were tested across four carbon and one glass fibre type. The largest dataset, for the T700S carbon fibre, consists of 217 data points. After performing a compliance calibration, the load-displacement diagrams are converted into stress-strain diagrams from which the tensile modulus and strength are extracted. The data presented in this article can be used as input data for models or for data processing during determination of other properties experimentally. The interpretation of the data can be found in [1]. The data is hosted in the Mendeley Data repository at [2].
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spelling pubmed-81141242021-05-18 Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment Mesquita, Francisco Bucknell, Steve Leray, Yann Lomov, Stepan V. Swolfs, Yentl Data Brief Data Article This data article presents fibre mechanical properties acquired using automated single fibre tensile testing equipment. The raw data consists of the fibre diameter, gauge length and load-displacement diagrams. A total of 690 fibres were tested across four carbon and one glass fibre type. The largest dataset, for the T700S carbon fibre, consists of 217 data points. After performing a compliance calibration, the load-displacement diagrams are converted into stress-strain diagrams from which the tensile modulus and strength are extracted. The data presented in this article can be used as input data for models or for data processing during determination of other properties experimentally. The interpretation of the data can be found in [1]. The data is hosted in the Mendeley Data repository at [2]. Elsevier 2021-05-01 /pmc/articles/PMC8114124/ /pubmed/34013010 http://dx.doi.org/10.1016/j.dib.2021.107085 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Mesquita, Francisco
Bucknell, Steve
Leray, Yann
Lomov, Stepan V.
Swolfs, Yentl
Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title_full Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title_fullStr Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title_full_unstemmed Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title_short Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
title_sort large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114124/
https://www.ncbi.nlm.nih.gov/pubmed/34013010
http://dx.doi.org/10.1016/j.dib.2021.107085
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