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Technical Briefs

Multiobjective Optimization of a Microchannel Heat Sink Using Evolutionary Algorithm

[+] Author and Article Information
Afzal Husain

Department of Mechanical Engineering, Graduate School of Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon 402-751, Republic of Koreaafzal19@inhaian.net

Kwang-Yong Kim1

Department of Mechanical Engineering, Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon 402-751, Republic of Koreakykim@inha.ac.kr

1

Corresponding author.

J. Heat Transfer 130(11), 114505 (Sep 04, 2008) (3 pages) doi:10.1115/1.2969261 History: Received March 14, 2007; Revised April 18, 2008; Published September 04, 2008

A multiobjective performance optimization of microchannel heat sink is carried out numerically applying surrogate analysis and evolutionary algorithm. Design variables related to microchannel width, depth, and fin width are selected, and two objective functions, thermal resistance and pumping power, are employed. With the help of finite volume solver, Navier–Stokes analyses are performed at the design sites obtained from full factorial design of sampling methods. Using the numerically evaluated objective function values, polynomial response surface is constructed for each objective functions, and multiobjective optimization is performed to obtain global Pareto optimal solutions. Analysis of optimum solutions is simplified by carrying out trade-off with design variables and objective functions. Objective functions exhibit changing sensitivity to design variables along the Pareto optimal front.

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Copyright © 2008 by American Society of Mechanical Engineers
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Figures

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Figure 1

Schematic of microchannel heat sink

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Figure 2

Computational domain

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Figure 3

Pareto optimal solutions using hybrid multiobjective evolutionary approach, NSGA-II , seven clusters, and global POC

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Figure 4

Distribution of design variables over Pareto optimal front with objective functions: (a) thermal resistance and (b) pumping power

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