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Research Papers

Thermal Nanofluid Property Model With Application to Nanofluid Flow in a Parallel Disk System—Part II: Nanofluid Flow Between Parallel Disks

[+] Author and Article Information
Yu Feng

ck@eos.ncsu.edu Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910

Clement Kleinstreuer1

ck@eos.ncsu.edu Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910

1

Corresponding author.

J. Heat Transfer 134(5), 051003 (Apr 13, 2012) (9 pages) doi:10.1115/1.4005633 History: Received April 05, 2010; Revised November 05, 2011; Published April 11, 2012; Online April 13, 2012

This is the second part of a two-part paper which proposes a new theory explaining the experimentally observed enhancement of the thermal conductivity, knf , of nanofluids (Part I) and discusses simulation results of nanofluid flow in an axisymmetric jet-impingement cooling system using different knf -models (Part II). Specifically, Part II provides numerical simulations of convective nanofluid heat transfer in terms of velocity profiles, friction factor, temperature distributions, and Nusselt numbers, employing the new knf -model. Flow structures and the effects of nanoparticle addition on heat transfer and entropy generation are discussed as well. Analytical expressions for velocity profiles and friction factors, assuming quasi-fully-developed flow between parallel disks, have been derived and validated for nanofluids as well. Based on the numerical simulation results for both alumina-water nanofluids and pure water, it can be concluded that nanofluids show better heat transfer performance than convectional coolants with no great penalty in pumping power. Furthermore, the system’s entropy generation rate is lower for nanofluids than for pure water.

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Copyright © 2012 by American Society of Mechanical Engineers
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Figures

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Figure 1

(a) Sketch of the radial flow cooling system and (b) simplified model of the cooling system

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Figure 2

Mesh details for the cooling system

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Figure 3

Velocity profiles comparison between numerical solution and simplified theoretical solution for δ = 3 mm

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Figure 4

Numerical simulation results for wall temperature distribution along r-direction by different thermal conductivity models and correlations

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Figure 5

Nusselt number comparison between present numerical simulation and experimental data

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Figure 6

Velocity profile development for δ=2mm 4% Al2 O3 -water nanofluid with Re = 333.33

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Figure 7

Flow structure for flow between parallel disks (a) δ = 3 mm and (b) δ = 2 mm

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Figure 8

Friction factor comparisons between correlated theoretical prediction and numerical simulations for nanofluids with different inlet temperatures

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Figure 9

Heat transfer and frictional entropy generation rate for Al2 O3 -water nanofluids with different nanoparticle volume fractions

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Figure 10

Comparison of wall temperatures and bulk temperatures between two parallel disks along the r-direction for 4% Al2 O3 -water nanofluid with δ = 2 mm and δ = 3 mm

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Figure 11

Nusselt number Nunf comparison between Al2 O3 -water nanofluids with different inlet Reynolds numbers, particle diameters, and volume fraction

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Figure 12

Temperature profiles development between two parallel disks along the r-direction for 4% Al2 O3 -water nanofluid

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Figure 13

Heat transfer and frictional entropy generation rate for 4% dp  = 47 nm Al2 O3 -water nanofluids with different inlet Reynolds numbers

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