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Research Papers: SPECIAL SECTION PAPERS

Numerical Simulation of Nanofluid-Cooling Enhancement of Three Fins Mounted in a Horizontal Channel

[+] Author and Article Information
Moussa Khentoul

LEAP Laboratory,
Department of Mechanical Engineering,
Faculty of Sciences Technology,
University of Constantine 1,
Route de Ain El Bey,
Constantine 25000, Algeria
e-mail: khentoul.moussa@gmail.com

Rachid Bessaïh

Professor
LEAP Laboratory,
Department of Mechanical Engineering,
Faculty of Sciences Technology,
University of Constantine 1,
Route de Ain El Bey,
Constantine 25000, Algeria
e-mail: bessaih.rachid@gmail.com

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received August 30, 2014; final manuscript received December 12, 2014; published online June 1, 2016. Assoc. Editor: Ziad Saghir.

J. Heat Transfer 138(9), 091002 (Jun 01, 2016) (9 pages) Paper No: HT-14-1574; doi: 10.1115/1.4032946 History: Received August 30, 2014; Revised December 12, 2014

This article presents a numerical study of two-dimensional laminar mixed convection in a horizontal channel. The upper horizontal wall of the channel is insulated. The governing equations were solved by using the finite volume method based on the simpler algorithm. Comparisons with previous results were performed and found to be in excellent agreement. The results were presented in terms of streamlines, isotherms, local and average Nusselt numbers for the Richardson number (0 ≤ Ri ≤ 10), Reynolds number (5 ≤ Re ≤ 100), solid volume fraction of nanoparticles (0 ≤ ϕ ≤ 0.10), and the type of nanofluids (Cu, Ag, Al2O3, and TiO2). The results show that the previous parameters have considerable effects on the flow and thermal fields. It was found that the heat transfer increases with increasing of Ra, Re, and ϕ.

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Figures

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Fig. 1

A schematic diagram of the physical model and boundary conditions

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Fig. 2

Validation of the present code with the numerical results of Pishkar and Ghasemi [28] for the velocity profiles in the middle section between two equal fins mounted on the bottom wall of an horizontal channel, at Re = 5, 10, and 100 and ϕ = 0.03

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Fig. 3

Streamlines ψ (top) and isotherms θ (bottom) for Al2O3–water nanofluid ϕ = 0.05 (- - -) and pure water ϕ = 0 (------) at different values of Reynolds number (Re = 5, 50, and 100) and Ri = 10

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Fig. 4

Velocity vector (top) and partially enlarged view of thevelocity vectors (bottom) for Al2O3–water nanofluid ϕ = 0.05 (- - -) and pure water ϕ = 0 (-----) at two values of Reynolds number Re = 5 and 100 and Ri = 10

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Fig. 5

Variation of horizontal velocity U at X = 3.2 between two fins for Al2O3–water nanofluid ϕ = 0.05 (- - -) and pure water ϕ = 0 (-----) at different values of Reynolds number and Ri = 10

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Fig. 6

Variation of centerline temperature θ along the channel length for Al2O3–water nanofluid ϕ = 0.05 (- - -) and pure water ϕ = 0 (-----) at different values of Reynolds number and Ri = 10

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Fig. 7

Effect of Reynolds number Re on the local Nusselt number Nu along the fins at Ri = 10 and Al2O3–water nanofluid (ϕ = 0.05)

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Fig. 8

Effect of solid volume fraction ϕ (Al2O3–water nanofluid) on the average Nusselt number Nuav along the fins at various values of Reynolds number and Ri = 10

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Fig. 9

Streamlines ψ (top) and isotherms θ (bottom) for Al2O3–water nanofluid ϕ = 0.05 (- - -) and pure water ϕ = 0 (-----) at different values of Richardson number (Ri = 0.01, 1, and 10) and Re = 50

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Fig. 10

Effect of Richardson number Ri on the average Nusselt number Nuav along the fins at various values of Reynolds number and Al2O3–water nanofluid (ϕ = 0.05)

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Fig. 11

Effect of solid volume fraction on the ratio Nuav/Nuavf along the fins at various values of Richardson number and Re = 50

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Fig. 12

Variation of average Nusselt number with solid volume fraction ϕ for different nanoparticles at Re = 100: (a) Ri = 0.01, (b) Ri = 1, (c) Ri = 5, and (d) Ri = 10

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Fig. 13

Variation of local Nusselt number Nu along the first fin for different nanoparticles (ϕ = 0.05) at Ri = 10 and Re = 100

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Fig. 14

Variation of average Nusselt numbers with Richardson number Ri for different nanoparticles at Re = 100 (ϕ = 0.05)

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