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Dataset on fractographic analysis of various SiC-based fibers

This data article reports a systematic fractographic analysis of SiC-based filaments aiming at stress intensity factors assessment. A total of 11 fiber types (as-received or chlorinated Nicalon® and Tyranno® of all three generations) where therefore repeatedly tensile tested to generate the fracture...

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Autores principales: Mazerat, S., Pailler, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773888/
https://www.ncbi.nlm.nih.gov/pubmed/33409345
http://dx.doi.org/10.1016/j.dib.2020.106676
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author Mazerat, S.
Pailler, R.
author_facet Mazerat, S.
Pailler, R.
author_sort Mazerat, S.
collection PubMed
description This data article reports a systematic fractographic analysis of SiC-based filaments aiming at stress intensity factors assessment. A total of 11 fiber types (as-received or chlorinated Nicalon® and Tyranno® of all three generations) where therefore repeatedly tensile tested to generate the fracture surfaces. The tensile strengths were found to be independent to defect location (surface or internal). The well-known linear square root dependence of strength on mirror, mist or hackle outer radius was reaffirmed. These measurements reveal some residual tensile stresses on Nicalon® fibers, statement however questioned by the broad data scattering. Moreover, it is shown the surface etching treatment didn't affected (generating or releasing) such residual stress. A null y-intercept was consequently adopted to assess the characteristic stress intensity factors (K(IC), mirror, mist or hackle constants). The toughness (K(IC)) estimated this way ranges from 1.0 to 1.9 MPa m(1/2) and shows a clear dependency to substrate composition: higher values were extracted on oxygen-free fibers. The A(m)/K(IC) ratio, estimated to equal 1.8 and independent to substrate type, is a key parameter that would assist further fractographic investigations.
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spelling pubmed-77738882021-01-05 Dataset on fractographic analysis of various SiC-based fibers Mazerat, S. Pailler, R. Data Brief Data Article This data article reports a systematic fractographic analysis of SiC-based filaments aiming at stress intensity factors assessment. A total of 11 fiber types (as-received or chlorinated Nicalon® and Tyranno® of all three generations) where therefore repeatedly tensile tested to generate the fracture surfaces. The tensile strengths were found to be independent to defect location (surface or internal). The well-known linear square root dependence of strength on mirror, mist or hackle outer radius was reaffirmed. These measurements reveal some residual tensile stresses on Nicalon® fibers, statement however questioned by the broad data scattering. Moreover, it is shown the surface etching treatment didn't affected (generating or releasing) such residual stress. A null y-intercept was consequently adopted to assess the characteristic stress intensity factors (K(IC), mirror, mist or hackle constants). The toughness (K(IC)) estimated this way ranges from 1.0 to 1.9 MPa m(1/2) and shows a clear dependency to substrate composition: higher values were extracted on oxygen-free fibers. The A(m)/K(IC) ratio, estimated to equal 1.8 and independent to substrate type, is a key parameter that would assist further fractographic investigations. Elsevier 2020-12-24 /pmc/articles/PMC7773888/ /pubmed/33409345 http://dx.doi.org/10.1016/j.dib.2020.106676 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Mazerat, S.
Pailler, R.
Dataset on fractographic analysis of various SiC-based fibers
title Dataset on fractographic analysis of various SiC-based fibers
title_full Dataset on fractographic analysis of various SiC-based fibers
title_fullStr Dataset on fractographic analysis of various SiC-based fibers
title_full_unstemmed Dataset on fractographic analysis of various SiC-based fibers
title_short Dataset on fractographic analysis of various SiC-based fibers
title_sort dataset on fractographic analysis of various sic-based fibers
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773888/
https://www.ncbi.nlm.nih.gov/pubmed/33409345
http://dx.doi.org/10.1016/j.dib.2020.106676
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