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^*

^*Corresponding author for this work

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

3 Scopus citations

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 Computation - 16th European Conference, EvoApplications 2013, Proceedings
Publisher	Springer Verlag
Pages	449-458
Number of pages	10
ISBN (Print)	9783642371912
DOIs	https://doi.org/10.1007/978-3-642-37192-9_45
State	Published - 2013
Externally published	Yes
Event	16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013 - Vienna, Austria Duration: 3 Apr 2013 → 5 Apr 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7835 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013
Country/Territory	Austria
City	Vienna
Period	3/04/13 → 5/04/13

Keywords

bend loss coefficient
heat sink
multi-objective optimizations
serpentine channel

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

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

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 Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings (pp. 449-458). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7835 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-37192-9_45

Li, Xuekang ; Hao, Xiaohong ; Chen, Yi et al. / Multi-objective optimizations of structural parameter determination for serpentine channel heat sink. Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. Springer Verlag, 2013. pp. 449-458 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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",

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

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

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doi = "10.1007/978-3-642-37192-9\_45",

language = "English",

isbn = "9783642371912",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings",

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note = "16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013 ; Conference date: 03-04-2013 Through 05-04-2013",

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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 Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7835 LNCS, Springer Verlag, pp. 449-458, 16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013, Vienna, Austria, 3/04/13. 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 et al.
Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. Springer Verlag, 2013. p. 449-458 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7835 LNCS).

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

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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

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Li X, Hao X, Chen Y, Zhang M, Peng B. Multi-objective optimizations of structural parameter determination for serpentine channel heat sink. In Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. Springer Verlag. 2013. p. 449-458. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-37192-9_45

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

Abstract

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Keywords

ASJC Scopus subject areas

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