Multi-objective optimizations of structural parameter determination for serpentine channel heat sink

Xuekang  Li; Xiaohong  Hao; Yi Chen; Muhao  Zhang; Bei  Peng

doi:10.1007/978-3-642-37192-9_45

Multi-objective optimizations of structural parameter determination for serpentine channel heat sink

Xuekang Li, Xiaohong Hao, Yi Chen, Muhao Zhang, Bei Peng

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an approach for modeling and optimization of the channel geometry of a serpentine channel heat sink using multi-objective genetic algorithm. A simple thermal resistance network model was developed to investigate the overall thermal performance of the serpentine channel heat sink. Based on a number of simulations, bend loss coefficient correlation for 1000<Re<2200 was obtained which was function of the aspect ratio (a), ratio of fins width to channel width (b). In this study, two objectives minimization of overall thermal resistance and pressure drop are carried out using multi-objective genetic algorithms. The channel width, fin width, channel height and inlet velocity are variables to be optimized subject to constraints of fixed length and width of heat sink. The study indicates that reduction in both thermal resistance and pressure drop can be achieved by optimizing the channel configuration and the inlet velocity.

Original language	English
Title of host publication	Applications of Evolutionary Computing
Subtitle of host publication	16th European Conference, EvoApplications 2013
Editors	Anna I. Esparcia-Alcazar
Publisher	Springer
Pages	449-458
Number of pages	10
ISBN (Electronic)	9783642371929
ISBN (Print)	9783642371912
DOIs	https://doi.org/10.1007/978-3-642-37192-9_45
Publication status	Published - 25 Feb 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7835

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Keywords

heat sink
serpentine channel
bend loss coefficient
multi-objective optimizations

Cite this

Li, X., Hao, X., Chen, Y., Zhang, M., & Peng, B. (2013). Multi-objective optimizations of structural parameter determination for serpentine channel heat sink. In A. I. Esparcia-Alcazar (Ed.), Applications of Evolutionary Computing: 16th European Conference, EvoApplications 2013 (pp. 449-458). (Lecture Notes in Computer Science; Vol. 7835). Springer. https://doi.org/10.1007/978-3-642-37192-9_45

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title = "Multi-objective optimizations of structural parameter determination for serpentine channel heat sink",

abstract = "This paper presents an approach for modeling and optimization of the channel geometry of a serpentine channel heat sink using multi-objective genetic algorithm. A simple thermal resistance network model was developed to investigate the overall thermal performance of the serpentine channel heat sink. Based on a number of simulations, bend loss coefficient correlation for 1000<Re<2200 was obtained which was function of the aspect ratio (a), ratio of fins width to channel width (b). In this study, two objectives minimization of overall thermal resistance and pressure drop are carried out using multi-objective genetic algorithms. The channel width, fin width, channel height and inlet velocity are variables to be optimized subject to constraints of fixed length and width of heat sink. The study indicates that reduction in both thermal resistance and pressure drop can be achieved by optimizing the channel configuration and the inlet velocity.",

keywords = "heat sink, serpentine channel, bend loss coefficient, multi-objective optimizations",

author = "Xuekang Li and Xiaohong Hao and Yi Chen and Muhao Zhang and Bei Peng",

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Li, X, Hao, X, Chen, Y, Zhang, M & Peng, B 2013, Multi-objective optimizations of structural parameter determination for serpentine channel heat sink. in AI Esparcia-Alcazar (ed.), Applications of Evolutionary Computing: 16th European Conference, EvoApplications 2013. Lecture Notes in Computer Science, vol. 7835, Springer, pp. 449-458. https://doi.org/10.1007/978-3-642-37192-9_45

Multi-objective optimizations of structural parameter determination for serpentine channel heat sink. / Li, Xuekang ; Hao, Xiaohong ; Chen, Yi; Zhang, Muhao ; Peng, Bei .

Applications of Evolutionary Computing: 16th European Conference, EvoApplications 2013. ed. / Anna I. Esparcia-Alcazar. Springer, 2013. p. 449-458 (Lecture Notes in Computer Science; Vol. 7835).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Multi-objective optimizations of structural parameter determination for serpentine channel heat sink

AU - Li, Xuekang

AU - Hao, Xiaohong

AU - Chen, Yi

AU - Zhang, Muhao

AU - Peng, Bei

PY - 2013/2/25

Y1 - 2013/2/25

N2 - This paper presents an approach for modeling and optimization of the channel geometry of a serpentine channel heat sink using multi-objective genetic algorithm. A simple thermal resistance network model was developed to investigate the overall thermal performance of the serpentine channel heat sink. Based on a number of simulations, bend loss coefficient correlation for 1000<Re<2200 was obtained which was function of the aspect ratio (a), ratio of fins width to channel width (b). In this study, two objectives minimization of overall thermal resistance and pressure drop are carried out using multi-objective genetic algorithms. The channel width, fin width, channel height and inlet velocity are variables to be optimized subject to constraints of fixed length and width of heat sink. The study indicates that reduction in both thermal resistance and pressure drop can be achieved by optimizing the channel configuration and the inlet velocity.

AB - This paper presents an approach for modeling and optimization of the channel geometry of a serpentine channel heat sink using multi-objective genetic algorithm. A simple thermal resistance network model was developed to investigate the overall thermal performance of the serpentine channel heat sink. Based on a number of simulations, bend loss coefficient correlation for 1000<Re<2200 was obtained which was function of the aspect ratio (a), ratio of fins width to channel width (b). In this study, two objectives minimization of overall thermal resistance and pressure drop are carried out using multi-objective genetic algorithms. The channel width, fin width, channel height and inlet velocity are variables to be optimized subject to constraints of fixed length and width of heat sink. The study indicates that reduction in both thermal resistance and pressure drop can be achieved by optimizing the channel configuration and the inlet velocity.

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KW - serpentine channel

KW - bend loss coefficient

KW - multi-objective optimizations

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U2 - 10.1007/978-3-642-37192-9_45

DO - 10.1007/978-3-642-37192-9_45

M3 - Conference contribution

SN - 9783642371912

T3 - Lecture Notes in Computer Science

SP - 449

EP - 458

BT - Applications of Evolutionary Computing

A2 - Esparcia-Alcazar, Anna I.

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Documents and Links

10.1007/978-3-642-37192-9_45

http://www.springer.com/gp/book/9783642371912