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Mixed convection of non-Newtonian nanofluid in an enclosure using Buongiorno’s mathematical model

Citation

Kefayati, GHR, Mixed convection of non-Newtonian nanofluid in an enclosure using Buongiorno's mathematical model, International Journal of Heat and Mass Transfer, 108, (B) pp. 1481-1500. ISSN 0017-9310 (2017) [Refereed Article]

Copyright Statement

Copyright 2017 Elsevier Ltd. All rights reserved

Official URL: https://www.sciencedirect.com/science/article/pii/...

DOI: doi:10.1016/j.ijheatmasstransfer.2016.12.103

Abstract

In this paper, mixed convection of non-Newtonian nanofluid, using the Buongiorno’s mathematical model in a cavity has been analyzed by Finite Difference Lattice Boltzmann method (FDLBM). The cavity is filled with nanofluid which the mixture shows shear-thinning behavior. The Prandtl number is fixed at Pr = 1. This study has been performed for the certain pertinent parameters of Richardson number (Ri = 0.001, 0.01, and 1), buoyancy ratio number (Nr = 0.1, 1, and 20), power-law index (n = 0.2–1), Lewis number (Le = 1, 5, and 10), Thermophoresis parameter (Nt = 0.1, 0.5, 1), and Brownian motion parameter (Nb = 0.1, 1, 5). Results indicate that the augmentation of the power-law index causes heat and mass transfer to drop at Ri = 0.001 and 0.01. The drop of Richardson number from Ri = 1 to 0.001 enhances heat and mass transfer for various power-law indexes. The increase in the Lewis number augments mass transfer while it causes heat transfer to drop. The rise of the Thermophoresis and Brownian motion parameters ameliorates mass transfer and declines heat transfer significantly. The augmentation of buoyancy ratio number enhances heat and mass transfer.

Item Details

Item Type:Refereed Article
Keywords:LBM, Heat transfer, nano fluid, convection
Research Division:Engineering
Research Group:Interdisciplinary Engineering
Research Field:Heat and Mass Transfer Operations
Objective Division:Energy
Objective Group:Energy Transformation
Objective Field:Energy Transformation not elsewhere classified
UTAS Author:Kefayati, GHR (Dr Gholamreza Kefayati)
ID Code:127655
Year Published:2017
Web of Science® Times Cited:42
Deposited By:Engineering
Deposited On:2018-08-08
Last Modified:2018-09-06
Downloads:0

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