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RESEARCH PAPERS

Numerical Analysis of Blockage and Optimization of Heat Transfer Performance of Fractal-like Microchannel Nets

[+] Author and Article Information
Xiang-Qi Wang, Christopher Yap

Department of Mechanical Engineering, National University of Singapore, Kent Ridge Crescent, Singapore, 119260

Arun S. Mujumdar1

Department of Mechanical Engineering, National University of Singapore, Kent Ridge Crescent, Singapore, 119260mpeasm@nus.edu.sg

1

Corresponding author.

J. Electron. Packag 128(1), 38-45 (May 25, 2005) (8 pages) doi:10.1115/1.2159007 History: Received September 17, 2004; Revised May 25, 2005

The conjugate fluid flow and heat transfer characteristics of fractal-like microchannel nets embedded in a disk-shape heat sink are investigated using a three-dimensional computational fluid dynamics (CFD) approach. A constant heat flux is applied to the top wall of the heat sink. The intrinsic advantages of fractal-like microchannel nets such as low flow resistance, temperature uniformity, and reduced danger of blockage compared with the traditional parallel channel nets are demonstrated. In addition, various optimized designs with parameters such as the number of branches, number of branching levels, and number of channels that reach the center of the disk are addressed in this context.

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Copyright © 2006 by American Society of Mechanical Engineers
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Figures

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Figure 1

One typical physical model of fractal-like branching channels embedded in a heat sink attached to a chip; 1∕n part of the disk is shown (n=4 here). Radius of the disk, R=20mm.

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Figure 2

The 2D profile of the computational domain

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Figure 3

Pressure distribution through fractal-like and straight microchannel networks

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Figure 4

Local heat flux through fractal-like and straight microchannel networks

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Figure 5

Temperature distribution over mid-depth plane for (a) fractal-like and (b) straight parallel nets

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Figure 6

Temperature distribution over mid-depth plane for blockage of the fractal-like nets at the outlet side of channel: (a) 3n, (b) 2e, and (c) 1b

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Figure 7

Maximum temperature over mid-depth plane, z′=0.5, with changed number of tubes

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Figure 8

Maximum temperature over mid-depth plane, z′=0.5, with changed number of levels

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Figure 9

Temperature distributions at mid-depth plane, z′=0.5 for (a) b=2, l=2, n=3; (b) b=2, l=3, n=3; (c) b=2, l=4, n=3; (d) b=3, l=2, n=3; (e) b=2, l=2, n=4; (f) b=2, l=2, n=5

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Figure 10

Pressure distribution through fractal-like channel networks for cases with different number of tubes

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Figure 11

Pressure distribution through fractal-like channel networks for cases with different number of levels

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