Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites

Abstract 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 st...

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Autores principales:	Matthieu Gresil, Zixin Wang, Quentin-Arthur Poutrel, Constantinos Soutis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d3d006bce64942dea92c7551855d9eec
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spelling	oai:doaj.org-article:d3d006bce64942dea92c7551855d9eec2021-12-02T16:06:52ZThermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites10.1038/s41598-017-05866-02045-2322https://doaj.org/article/d3d006bce64942dea92c7551855d9eec2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05866-0https://doaj.org/toc/2045-2322Abstract 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.Matthieu GresilZixin WangQuentin-Arthur PoutrelConstantinos SoutisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Matthieu Gresil Zixin Wang Quentin-Arthur Poutrel Constantinos Soutis Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites
description	Abstract 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	article
author	Matthieu Gresil Zixin Wang Quentin-Arthur Poutrel Constantinos Soutis
author_facet	Matthieu Gresil Zixin Wang Quentin-Arthur Poutrel Constantinos Soutis
author_sort	Matthieu Gresil
title	Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites
title_short	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_sort	thermal diffusivity mapping of graphene based polymer nanocomposites
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d3d006bce64942dea92c7551855d9eec
work_keys_str_mv	AT matthieugresil thermaldiffusivitymappingofgraphenebasedpolymernanocomposites AT zixinwang thermaldiffusivitymappingofgraphenebasedpolymernanocomposites AT quentinarthurpoutrel thermaldiffusivitymappingofgraphenebasedpolymernanocomposites AT constantinossoutis thermaldiffusivitymappingofgraphenebasedpolymernanocomposites
_version_	1718384870534676480

Thermal Diffusivity Mapping of Graphene Based Polymer Nanocomposites

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