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Optimization of thermal resistance of stacked micro-channel using genetic algorithms

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Main Authors: Jeevan, Kanesan, Ghulam, Quadir, Prof. Dr., Seetharamu, Kankanhally N., Ishak, Abdul Azid, Dr., Zainal Alimuddin, Zainal Alauddin, Dr.
Other Authors: gaquadir@unimap.edu.my
Format: Article
Language:English
Published: Emerald Group Publishing Limited 2014
Subjects:
Finite element analysis
Optimization techniques
Thermal resistance
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33929
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spelling my.unimap-339292014-04-23T02:26:15Z Optimization of thermal resistance of stacked micro-channel using genetic algorithms Jeevan, Kanesan Ghulam, Quadir, Prof. Dr. Seetharamu, Kankanhally N. Ishak, Abdul Azid, Dr. Zainal Alimuddin, Zainal Alauddin, Dr. gaquadir@unimap.edu.my knseetharamu@hotmail.com ishak@eng.usm.my Finite element analysis Optimization techniques Thermal resistance Link to publisher's homepage at http://www.emeraldinsight.com/ Purpose - To determine the optimal dimensions for a stacked micro-channel using the genetic algorithms (GAs) under different flow constraints. Design/methodology/approach - GA is used as an optimization tool for optimizing the thermal resistance of a stacked micro-channel under different flow constraints obtained by using the one dimensional (1D) and two dimensional (2D) finite element methods (FEM) and by thermal resistance network model as well (proposed by earlier researcher). The 2D FEM is used to study the effect of two dimensional heat conduction in the micro-channel material. Some parametric studies are carried out to determine the resulting performance of the stacked micro-channel. Different number of layers of the stacked micro-channel is also investigated to study its effect on the minimum thermal resistance. Findings - The results obtained from the ID FEM analysis compare well with those obtained from the thermal resistance network model. However, the 2D FEM analysis results in lower thermal resistance and, therefore, the importance of considering the conduction in two dimensions in the micro-channel is highlighted. Research limitations/implication - The analysis is valid for constant properties fluid and for steady-state conditions. The top-most surfaces as well as the side surfaces of the micro-channel are considered adiabatic. Practical implications - The method is very useful for practical design of micro-channel heat-sinks. Originality/value - FEM analyses of stacked micro-channel can be easily implemented in the optimization procedure for obtaining the dimensions of the stacked micro-channel heat-sinks for minimum thermal resistance. 2014-04-23T02:26:15Z 2014-04-23T02:26:15Z 2005 Article International Journal of Numerical Methods for Heat and Fluid Flow, vol. 15(1), 2005, pages 27-42 0961-5539 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33929 http://www.emeraldinsight.com/journals.htm?articleid=877325&show=abstract http://dx.doi.org/10.1108/09615530510571930 en Emerald Group Publishing Limited
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Finite element analysis
Optimization techniques
Thermal resistance
spellingShingle Finite element analysis
Optimization techniques
Thermal resistance
Jeevan, Kanesan
Ghulam, Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
Zainal Alimuddin, Zainal Alauddin, Dr.
Optimization of thermal resistance of stacked micro-channel using genetic algorithms
description Link to publisher's homepage at http://www.emeraldinsight.com/
author2 gaquadir@unimap.edu.my
author_facet gaquadir@unimap.edu.my
Jeevan, Kanesan
Ghulam, Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
Zainal Alimuddin, Zainal Alauddin, Dr.
format Article
author Jeevan, Kanesan
Ghulam, Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
Zainal Alimuddin, Zainal Alauddin, Dr.
author_sort Jeevan, Kanesan
title Optimization of thermal resistance of stacked micro-channel using genetic algorithms
title_short Optimization of thermal resistance of stacked micro-channel using genetic algorithms
title_full Optimization of thermal resistance of stacked micro-channel using genetic algorithms
title_fullStr Optimization of thermal resistance of stacked micro-channel using genetic algorithms
title_full_unstemmed Optimization of thermal resistance of stacked micro-channel using genetic algorithms
title_sort optimization of thermal resistance of stacked micro-channel using genetic algorithms
publisher Emerald Group Publishing Limited
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33929
_version_ 1643797350045450240
score 13.222552

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