Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms

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Main Authors: Jeevan, Kanesan, Ghulam, Abdul Quadir, Prof. Dr., Seetharamu, Kankanhally N., Ishak, Abdul Azid, Dr.
Other Authors: gaquadir@unimap.edu.my
Format: Article
Language:English
Published: Emerald Group Publishing Limited 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33949
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spelling my.unimap-339492014-04-23T05:20:45Z Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms Jeevan, Kanesan Ghulam, Abdul Quadir, Prof. Dr. Seetharamu, Kankanhally N. Ishak, Abdul Azid, Dr. gaquadir@unimap.edu.my knseetharamu@hotmail.com ishak@eng.usm.my Finite element analysis Printed-circuit boards Programming and algorithm theory Link to publisher's homepage at http://www.emeraldinsight.com/ Purpose - To determine the optimal chip/component placement for multi-chip module (MCM) and printed circuit board (PCB) under thermal constraint. Design/methodology/approach - The placement of power dissipating chips/component is carried out using genetic algorithms (GA) in order to achieve uniform thermal distribution on MCM and PCB. The thermal distribution on the MCM and PCB are predicted using 2D-finite element method (FEM) analysis. Different number of chip/component and FEM meshing size is used to investigate the placement of chips/components. Findings - The optimal placement of chip/component using GA is compared well to other placement techniques. The coarse meshing for FEM employed here is found adequate to carry out optimal placement of components by GA. Research limitations/implications - The analysis is valid for constant properties of MCM or PCB and steady state conditions. The chip/component size is limited to a single standard size. Practical implications - The method is very useful for practical design of chip/component placement on MCM/PCB under thermal consideration. Originality/value - FEM analyses of MCM and PCB can be easily implemented in the optimization procedure for obtaining the optimal chip/component placement based on thermal constraints. 2014-04-23T05:20:45Z 2014-04-23T05:20:45Z 2005 Article Microelectronics International, vol. 22(3), 2005, pages 3-15 1356-5362 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33949 http://www.emeraldinsight.com/journals.htm?articleid=1513133& http://dx.doi.org/10.1108/13565360510610486 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
Printed-circuit boards
Programming and algorithm theory
spellingShingle Finite element analysis
Printed-circuit boards
Programming and algorithm theory
Jeevan, Kanesan
Ghulam, Abdul Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
Thermal management of multi-chip module and printed circuit board using FEM and 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, Abdul Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
format Article
author Jeevan, Kanesan
Ghulam, Abdul Quadir, Prof. Dr.
Seetharamu, Kankanhally N.
Ishak, Abdul Azid, Dr.
author_sort Jeevan, Kanesan
title Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms
title_short Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms
title_full Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms
title_fullStr Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms
title_full_unstemmed Thermal management of multi-chip module and printed circuit board using FEM and genetic algorithms
title_sort thermal management of multi-chip module and printed circuit board using fem and genetic algorithms
publisher Emerald Group Publishing Limited
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33949
_version_ 1643797356032819200
score 13.222552