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Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon

This article contains microstructural characterization data related to the research article ‘Self-lubrication of Nuclear Graphite in Argon at High Temperature’, published in Tribology International. Digital, optical, and scanning electron micrographs are collected on the pebble and disk samples gene...

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Detalles Bibliográficos
Autores principales: Vergari, L., Quincey, J., Meric de Bellefon, G., Scarlat, R.O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900363/
https://www.ncbi.nlm.nih.gov/pubmed/36756285
http://dx.doi.org/10.1016/j.dib.2022.108796
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author Vergari, L.
Quincey, J.
Meric de Bellefon, G.
Scarlat, R.O.
author_facet Vergari, L.
Quincey, J.
Meric de Bellefon, G.
Scarlat, R.O.
author_sort Vergari, L.
collection PubMed
description This article contains microstructural characterization data related to the research article ‘Self-lubrication of Nuclear Graphite in Argon at High Temperature’, published in Tribology International. Digital, optical, and scanning electron micrographs are collected on the pebble and disk samples generated in the tribological tests and in their corresponding reference samples. Surface roughness measurements of the test and control samples are performed using the 3D-depth composition feature of the digital microscope. X-ray diffraction and Raman spectra of the test and reference samples are acquired and peak-fitted according to published literature on nuclear graphite characterization. Plots of the peak-fitted spectra are included in this article; the full list of peak-fitting parameters is provided in the linked data repository.
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spelling pubmed-99003632023-02-07 Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon Vergari, L. Quincey, J. Meric de Bellefon, G. Scarlat, R.O. Data Brief Data Article This article contains microstructural characterization data related to the research article ‘Self-lubrication of Nuclear Graphite in Argon at High Temperature’, published in Tribology International. Digital, optical, and scanning electron micrographs are collected on the pebble and disk samples generated in the tribological tests and in their corresponding reference samples. Surface roughness measurements of the test and control samples are performed using the 3D-depth composition feature of the digital microscope. X-ray diffraction and Raman spectra of the test and reference samples are acquired and peak-fitted according to published literature on nuclear graphite characterization. Plots of the peak-fitted spectra are included in this article; the full list of peak-fitting parameters is provided in the linked data repository. Elsevier 2022-11-29 /pmc/articles/PMC9900363/ /pubmed/36756285 http://dx.doi.org/10.1016/j.dib.2022.108796 Text en © 2022 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
Vergari, L.
Quincey, J.
Meric de Bellefon, G.
Scarlat, R.O.
Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title_full Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title_fullStr Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title_full_unstemmed Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title_short Microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
title_sort microstructural characterization data for nuclear graphite samples generated during tribology testing in argon
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900363/
https://www.ncbi.nlm.nih.gov/pubmed/36756285
http://dx.doi.org/10.1016/j.dib.2022.108796
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