Optimal heat sink based on heat transfer model and particle swarm optimization method

The advancement of electronic technology has led to increase in heat dissipation especially in Central Processing Unit (CPU). This problem occurs when CPUsare scaled down to reduce size, to raise power density and performance of device. High heat dissipation can increase device temperature that will...

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Main Author: Mohd. Hanafi, Mohd. Zainolarifin
Format: Thesis
Language:English
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/53849/1/MohdZainolarifinMFKE2015.pdf
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spelling my-utm-ep.538492020-09-07T03:20:52Z Optimal heat sink based on heat transfer model and particle swarm optimization method 2015-06 Mohd. Hanafi, Mohd. Zainolarifin TK Electrical engineering. Electronics Nuclear engineering The advancement of electronic technology has led to increase in heat dissipation especially in Central Processing Unit (CPU). This problem occurs when CPUsare scaled down to reduce size, to raise power density and performance of device. High heat dissipation can increase device temperature that will reduceproducts lifespan. Currently, conventional air cooling technologies such as fan and heat sink have been used to minimize device temperature. However, heat sink is a preferable choice where it is easy to handle and cost effective. Thus, to reduce the temperature of CPU electronic package, the process of heat transfer is also needed to be enhanced and in this case it must consider a high performance heat sink component. Therefore, in this study thermal resistance network is used to develop a model of radial plate fin heat sink. Heat sink dimension has been optimized using Particle Swarm Optimization (PSO) technique. The main objective is to maximize heat dissipation rate and to minimize the size of heat sink. Simulations for single and multi objectives PSO are explored for searching the optimal dimensions of radial plate fin heat sink design. The optimal design could maximize heat dissipation and minimize the size of heat sink. The results show that heat dissipation can be increased by 16% while the size of heat sink has been reduced by 31.2%. 2015-06 Thesis http://eprints.utm.my/id/eprint/53849/ http://eprints.utm.my/id/eprint/53849/1/MohdZainolarifinMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85976 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohd. Hanafi, Mohd. Zainolarifin
Optimal heat sink based on heat transfer model and particle swarm optimization method
description The advancement of electronic technology has led to increase in heat dissipation especially in Central Processing Unit (CPU). This problem occurs when CPUsare scaled down to reduce size, to raise power density and performance of device. High heat dissipation can increase device temperature that will reduceproducts lifespan. Currently, conventional air cooling technologies such as fan and heat sink have been used to minimize device temperature. However, heat sink is a preferable choice where it is easy to handle and cost effective. Thus, to reduce the temperature of CPU electronic package, the process of heat transfer is also needed to be enhanced and in this case it must consider a high performance heat sink component. Therefore, in this study thermal resistance network is used to develop a model of radial plate fin heat sink. Heat sink dimension has been optimized using Particle Swarm Optimization (PSO) technique. The main objective is to maximize heat dissipation rate and to minimize the size of heat sink. Simulations for single and multi objectives PSO are explored for searching the optimal dimensions of radial plate fin heat sink design. The optimal design could maximize heat dissipation and minimize the size of heat sink. The results show that heat dissipation can be increased by 16% while the size of heat sink has been reduced by 31.2%.
format Thesis
qualification_level Master's degree
author Mohd. Hanafi, Mohd. Zainolarifin
author_facet Mohd. Hanafi, Mohd. Zainolarifin
author_sort Mohd. Hanafi, Mohd. Zainolarifin
title Optimal heat sink based on heat transfer model and particle swarm optimization method
title_short Optimal heat sink based on heat transfer model and particle swarm optimization method
title_full Optimal heat sink based on heat transfer model and particle swarm optimization method
title_fullStr Optimal heat sink based on heat transfer model and particle swarm optimization method
title_full_unstemmed Optimal heat sink based on heat transfer model and particle swarm optimization method
title_sort optimal heat sink based on heat transfer model and particle swarm optimization method
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2015
url http://eprints.utm.my/id/eprint/53849/1/MohdZainolarifinMFKE2015.pdf
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