Enhancement of effective thermal conductivity of rGO/Mg nanocomposite packed beds

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Engineering thermophysical properties of metal hydrides nanocomposites is crucial for effective thermal management during hydrogen storage reactions; however, the effect of microstructure on thermal transport mechanisms is still unclear. Here, we employed an integrated experiment-modeling approach to investigate microstructural factors that determine the effective thermal conductivity of individual reduced graphene oxide-magnesium (rGO/Mg) nanocomposites and their packed bed. The effective thermal conductivity of the rGO/Mg nanocomposite packed bed was measured by using guarded hot-plate method under various atmospheric conditions (i.e., vacuum, Ar and He). A microstructure-aware mesoscopic modeling revealed that anisotropy of the effective thermal conductivity of individual rGO/Mg nanocomposites plays an important role in determining the effective thermal conductivity of their packed bed. The validated mesoscopic model also disclosed a nontrivial interplay between the intrinsic rGO properties and the extrinsic composite structural features. Finally, quantitative sensitivity analysis based on the modeling framework is used to provide practical engineering guidance for controlling the thermal transport within nanocomposite packed beds. (c) 2022 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2022-08
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, v.192, pp.122891

ISSN
0017-9310
DOI
10.1016/j.ijheatmasstransfer.2022.122891
URI
http://hdl.handle.net/10203/296874
Appears in Collection
CBE-Journal Papers(저널논문)ME-Journal Papers(저널논문)
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