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Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Numerical study on natural convection of Ag–MgO hybrid/water nanofluid inside a porous enclosure: A local thermal non-equilibrium model

Authors: Mohammad Ghalambaz; Mohsen Izadi; S.A.M. Mehryan; Ali J. Chamkha;

Numerical study on natural convection of Ag–MgO hybrid/water nanofluid inside a porous enclosure: A local thermal non-equilibrium model

Abstract

Abstract This paper investigates the natural convection of Ag-MgO/water nanofluids within a porous enclosure using a Local Thermal Non-Equilibrium (LTNE) model. The Darcy model is applied to simulate the flow dynamics throughout the porous medium. Using non-dimensional parameters, the dimensionless form of the prevailing equations has been derived. Finally, the Galerkin finite element method is utilized to solve governing equations using a non-uniform structured grid, numerically. The key parameters of this study are Rayleigh number (10 ≤ Ra ≤ 1000), porosity (0.1 ≤ e ≤ 0.9), nanoparticles volume fraction (0 ≤ φ ≤ 0.02), interface convective heat transfer coefficient (1 ≤ H ≤ 1000), and the thermal conductivity ratio of two porous phases (1 ≤ γ ≤ 10). It is indicated that dispersing Ag–MgO hybrid nanoparticles in the water strongly decreases the transport of heat through two phases of the porous enclosure. For glass ball and aluminum foam, by increasing the H from 1 to 1000, Qhnf would be 1.33 and 5.85 times, respectively, at φ = 2%.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
178
Top 0.1%
Top 10%
Top 0.1%