Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres

Improved heat transfer in composites consisting of guar gel matrix and randomly distributed glass microspheres is extensively studied to predict the effective thermal conductivity of composites using the finite element method. In the study, the proper and probabilistic three-dimensional random distr...

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Autores principales:	Ruifeng CAO, Taotao WANG, Yuxuan ZHANG, Hui WANG
Formato:	article
Lenguaje:	EN
Publicado:	Kaunas University of Technology 2021
Materias:	composite guar gel matrix glass microsphere thermal conductivity randomness Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/8eaabbfdc2c243df8234f60198209a8b
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spelling	oai:doaj.org-article:8eaabbfdc2c243df8234f60198209a8b2021-12-02T06:20:57ZImproved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres1392-13202029-728910.5755/j02.ms.29824https://doaj.org/article/8eaabbfdc2c243df8234f60198209a8b2021-12-01T00:00:00Zhttps://matsc.ktu.lt/index.php/MatSc/article/view/29824https://doaj.org/toc/1392-1320https://doaj.org/toc/2029-7289Improved heat transfer in composites consisting of guar gel matrix and randomly distributed glass microspheres is extensively studied to predict the effective thermal conductivity of composites using the finite element method. In the study, the proper and probabilistic three-dimensional random distribution of microspheres in the continuous matrix is automatically generated by a simple and efficient random sequential adsorption algorithm which is developed by considering the correlation of three factors including particle size, number of particles, and particle volume fraction controlling the geometric configuration of random packing. Then the dependences of the effective thermal conductivity of composite materials on some important factors are investigated numerically, including the particle volume fraction, the particle spatial distribution, the number of particles, the nonuniformity of particle size, the particle dispersion morphology and the thermal conductivity contrast between particle and matrix. The related numerical results are compared with theoretical predictions and available experimental results to assess the validity of the numerical model. These results can provide good guidance for the design of advanced microsphere reinforced composite materials.Ruifeng CAOTaotao WANGYuxuan ZHANGHui WANGKaunas University of Technologyarticlecompositeguar gel matrixglass microspherethermal conductivityrandomnessMining engineering. MetallurgyTN1-997ENMedžiagotyra (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	composite guar gel matrix glass microsphere thermal conductivity randomness Mining engineering. Metallurgy TN1-997
spellingShingle	composite guar gel matrix glass microsphere thermal conductivity randomness Mining engineering. Metallurgy TN1-997 Ruifeng CAO Taotao WANG Yuxuan ZHANG Hui WANG Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
description	Improved heat transfer in composites consisting of guar gel matrix and randomly distributed glass microspheres is extensively studied to predict the effective thermal conductivity of composites using the finite element method. In the study, the proper and probabilistic three-dimensional random distribution of microspheres in the continuous matrix is automatically generated by a simple and efficient random sequential adsorption algorithm which is developed by considering the correlation of three factors including particle size, number of particles, and particle volume fraction controlling the geometric configuration of random packing. Then the dependences of the effective thermal conductivity of composite materials on some important factors are investigated numerically, including the particle volume fraction, the particle spatial distribution, the number of particles, the nonuniformity of particle size, the particle dispersion morphology and the thermal conductivity contrast between particle and matrix. The related numerical results are compared with theoretical predictions and available experimental results to assess the validity of the numerical model. These results can provide good guidance for the design of advanced microsphere reinforced composite materials.
format	article
author	Ruifeng CAO Taotao WANG Yuxuan ZHANG Hui WANG
author_facet	Ruifeng CAO Taotao WANG Yuxuan ZHANG Hui WANG
author_sort	Ruifeng CAO
title	Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
title_short	Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
title_full	Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
title_fullStr	Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
title_full_unstemmed	Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres
title_sort	improved heat transfer in guar gel composites reinforced with randomly distributed glass microspheres
publisher	Kaunas University of Technology
publishDate	2021
url	https://doaj.org/article/8eaabbfdc2c243df8234f60198209a8b
work_keys_str_mv	AT ruifengcao improvedheattransferinguargelcompositesreinforcedwithrandomlydistributedglassmicrospheres AT taotaowang improvedheattransferinguargelcompositesreinforcedwithrandomlydistributedglassmicrospheres AT yuxuanzhang improvedheattransferinguargelcompositesreinforcedwithrandomlydistributedglassmicrospheres AT huiwang improvedheattransferinguargelcompositesreinforcedwithrandomlydistributedglassmicrospheres
_version_	1718399948856229888

Improved Heat Transfer in Guar Gel Composites Reinforced with Randomly Distributed Glass Microspheres

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