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research-article

Optimal structural design of a heat sink with laminar single phase flow using CFD based multi-objective genetic algorithm

[+] Author and Article Information
Ya Ge

School of Energy and Power Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, P.R. China
geya@hust.edu.cn

Feng Shan

School of Energy and Power Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, P.R. China
shanfeng@hust.edu.cn

Zhichun Liu

School of Energy and Power Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, P.R. China
zcliu@hust.edu.cn

Wei Liu

School of Energy and Power Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, P.R. China
w_liu@hust.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4037643 History: Received September 24, 2016; Revised June 29, 2017

Abstract

This paper proposes a general method combining evolutionary algorithm and decision-making technique to optimize the structure of a minichannel heat sink (MCHS). Two conflicting objectives, thermal resistance ? and pumping power P, are simultaneously considered to assess the performance of the MCHS. In order to achieve the ultimate optimal design, multi-objective genetic algorithm is employed to obtain the non-dominated solutions (Pareto solutions), while TOPSIS (technique for order preference by similarity to an ideal solution) is employed to determine which is the best compromise solution. Meanwhile, both the material cost and volumetric flow rate are fixed where this nonlinear problem is solved by applying the penalty function. The results show that ? of the Pareto solutions varies from 0.03707 K W-1 to 0.10742 K W-1, while P varies from 0.00307 W to 0.05388 W, respectively. After the TOPSIS selection, it is found that P is significantly reduced without increasing too much ?. As a result, ? and P of the optimal MCHS determined by TOPSIS are 35.82% and 52.55% lower than initial one, respectively.

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