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Simulation of natural convection and entropy generation of non-Newtonian nanofluid in an inclined cavity using Buongiorno's mathematical model (Part II, entropy generation)

Citation

Kefayati, GHR and Sidik, NAC, Simulation of natural convection and entropy generation of non-Newtonian nanofluid in an inclined cavity using Buongiorno's mathematical model (Part II, entropy generation), Powder Technology, 305 pp. 679-703. ISSN 0032-5910 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier B.V.

DOI: doi:10.1016/j.powtec.2016.10.077

Abstract

In this paper, entropy generation of associated with the natural convection of non-Newtonian nanofluid, using the Buongiorno's mathematical model in an inclined cavity has been analyzed by Finite Difference Lattice Boltzmann method (FDLBM). The cavity is filled with nanofluid which the mixture shows shear-thinning behavior. This study has been performed for the certain pertinent parameters of Rayleigh number (Ra = 104 and 105), inclined angle (θ = 0,40,80,120), buoyancy ratio number (Nr = 0.1, 1, and 4), power-law index (n = 0.4 − 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). The Prandtl number is fixed at Pr = 1. The Results indicate that the augmentation of the power-law index enhances various entropy generations in different Rayleigh numbers and inclined angles. The lowest total entropy generation was observed in the inclined angle of θ = 0 in different Rayleigh numbers. In addition, the highest values of Bejan number was found in the inclined angle of θ = 0 in various Rayleigh numbers. The enhancement of the Lewis number provokes the total irreversibility to rise. Further, the total entropy generation increases as the buoyancy ratio number augments. It was shown that the increase in the Brownian motion and Thermophoresis parameters enhance the total irreversibility.

Item Details

Item Type:Refereed Article
Keywords:Entropy generation, Non-Newtonian nanofluid, Natural convection, Buongiorno model, FDLBM
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:127658
Year Published:2017
Web of Science® Times Cited:36
Deposited By:Engineering
Deposited On:2018-08-08
Last Modified:2018-09-11
Downloads:0

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