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Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites
Nanoparticle dispersion is widely recognised as a challenge in polymer nanocomposites fabrication. The dispersion quality can affect the physical and thermomechanical properties of the material system. Qualitative transmission electronic microscopy, often cumbersome, remains as the ‘gold standard’ f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514039/ https://www.ncbi.nlm.nih.gov/pubmed/28717154 http://dx.doi.org/10.1038/s41598-017-05866-0 |
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author | Gresil, Matthieu Wang, Zixin Poutrel, Quentin-Arthur Soutis, Constantinos |
author_facet | Gresil, Matthieu Wang, Zixin Poutrel, Quentin-Arthur Soutis, Constantinos |
author_sort | Gresil, Matthieu |
collection | PubMed |
description | Nanoparticle dispersion is widely recognised as a challenge in polymer nanocomposites fabrication. The dispersion quality can affect the physical and thermomechanical properties of the material system. Qualitative transmission electronic microscopy, often cumbersome, remains as the ‘gold standard’ for dispersion characterisation. However, quantifying dispersion at macroscopic level remains a difficult task. This paper presents a quantitative dispersion characterisation method using non-contact infrared thermography mapping that measures the thermal diffusivity (α) of the graphene nanocomposite and relates α to a dispersion index. The main advantage of the proposed method is its ability to evaluate dispersion over a large area at reduced effort and cost, in addition to measuring the thermal properties of the system. The actual resolution of this thermal mapping reaches 200 µm per pixel giving an accurate picture of graphene nanoplatelets (GNP) dispersion. The post-dispersion treatment shows an improvement in directional thermal conductivity of the composite of up to 400% increase at 5 wt% of GNP. The Maxwell-Garnet effective medium approximation is proposed to estimate thermal conductivity that compare favourably to measured data. The development of a broadly applicable dispersion quantification method will provide a better understanding of reinforcement mechanisms and effect on performance of large scale composite structures. |
format | Online Article Text |
id | pubmed-5514039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55140392017-07-19 Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites Gresil, Matthieu Wang, Zixin Poutrel, Quentin-Arthur Soutis, Constantinos Sci Rep Article Nanoparticle dispersion is widely recognised as a challenge in polymer nanocomposites fabrication. The dispersion quality can affect the physical and thermomechanical properties of the material system. Qualitative transmission electronic microscopy, often cumbersome, remains as the ‘gold standard’ for dispersion characterisation. However, quantifying dispersion at macroscopic level remains a difficult task. This paper presents a quantitative dispersion characterisation method using non-contact infrared thermography mapping that measures the thermal diffusivity (α) of the graphene nanocomposite and relates α to a dispersion index. The main advantage of the proposed method is its ability to evaluate dispersion over a large area at reduced effort and cost, in addition to measuring the thermal properties of the system. The actual resolution of this thermal mapping reaches 200 µm per pixel giving an accurate picture of graphene nanoplatelets (GNP) dispersion. The post-dispersion treatment shows an improvement in directional thermal conductivity of the composite of up to 400% increase at 5 wt% of GNP. The Maxwell-Garnet effective medium approximation is proposed to estimate thermal conductivity that compare favourably to measured data. The development of a broadly applicable dispersion quantification method will provide a better understanding of reinforcement mechanisms and effect on performance of large scale composite structures. Nature Publishing Group UK 2017-07-17 /pmc/articles/PMC5514039/ /pubmed/28717154 http://dx.doi.org/10.1038/s41598-017-05866-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gresil, Matthieu Wang, Zixin Poutrel, Quentin-Arthur Soutis, Constantinos Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title | Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title_full | Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title_fullStr | Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title_full_unstemmed | Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title_short | Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites |
title_sort | thermal diffusivity mapping of graphene based polymer nanocomposites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514039/ https://www.ncbi.nlm.nih.gov/pubmed/28717154 http://dx.doi.org/10.1038/s41598-017-05866-0 |
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