Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management

The article focuses on the numerical investigation of temperature distribution in a central processing units (CPU) case with different time interval such as t = 100 s, 200 s, 300 s, 400 s, 500 s. Heat sink performance of a graphics processing unit (GPU) thermal management and impacts of different...

Full description

Saved in:
Bibliographic Details
Main Authors: Zambri Harun,, Ng, Jie Suang, W. M. Faizal W. Mahmood,, Mahir Faris Abdullah,, Eslam Reda Lotfy,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/14309/1/17.pdf
http://journalarticle.ukm.my/14309/
http://www.ukm.my/jkukm/volume-311-2019/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-ukm.journal.14309
record_format eprints
spelling my-ukm.journal.143092020-02-26T08:01:49Z http://journalarticle.ukm.my/14309/ Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management Zambri Harun, Ng, Jie Suang W. M. Faizal W. Mahmood, Mahir Faris Abdullah, Eslam Reda Lotfy, The article focuses on the numerical investigation of temperature distribution in a central processing units (CPU) case with different time interval such as t = 100 s, 200 s, 300 s, 400 s, 500 s. Heat sink performance of a graphics processing unit (GPU) thermal management and impacts of different shape and velocity on the thermal performance are considered. In this study, three heat sink models are designed (A, B, and C) based on the volume area of heat sink. This study emphasizes the heat transfer phenomena caused by a GPU in a computer case in both steady state and transient state. A CFD software STAR – CCM + is used to carry out to study the fluid flow and heat transfer simulation of graphics card heat sink in a computer case and the same time an enhanced method of reducing the temperature of GPU is proposed. The results show that heat sink B with the least volume area, has the fastest rate of heat exchange followed by heat sink C and heat sink A. Likewise, the result indicates an inverse relationship between the volume and the total surface of the heat sink and the final temperature of the graphics card chip. As the total volume and surface of the heat sink increases, the rate of heat transfer increases via faster rate of conduction between graphics card chip to heat sink meanwhile the cooling of the heat sink is aided by wind inlet via convection. Penerbit Universiti Kebangsaan Malaysia 2019-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14309/1/17.pdf Zambri Harun, and Ng, Jie Suang and W. M. Faizal W. Mahmood, and Mahir Faris Abdullah, and Eslam Reda Lotfy, (2019) Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management. Jurnal Kejuruteraan, 31 (1). pp. 139-147. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-311-2019/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The article focuses on the numerical investigation of temperature distribution in a central processing units (CPU) case with different time interval such as t = 100 s, 200 s, 300 s, 400 s, 500 s. Heat sink performance of a graphics processing unit (GPU) thermal management and impacts of different shape and velocity on the thermal performance are considered. In this study, three heat sink models are designed (A, B, and C) based on the volume area of heat sink. This study emphasizes the heat transfer phenomena caused by a GPU in a computer case in both steady state and transient state. A CFD software STAR – CCM + is used to carry out to study the fluid flow and heat transfer simulation of graphics card heat sink in a computer case and the same time an enhanced method of reducing the temperature of GPU is proposed. The results show that heat sink B with the least volume area, has the fastest rate of heat exchange followed by heat sink C and heat sink A. Likewise, the result indicates an inverse relationship between the volume and the total surface of the heat sink and the final temperature of the graphics card chip. As the total volume and surface of the heat sink increases, the rate of heat transfer increases via faster rate of conduction between graphics card chip to heat sink meanwhile the cooling of the heat sink is aided by wind inlet via convection.
format Article
author Zambri Harun,
Ng, Jie Suang
W. M. Faizal W. Mahmood,
Mahir Faris Abdullah,
Eslam Reda Lotfy,
spellingShingle Zambri Harun,
Ng, Jie Suang
W. M. Faizal W. Mahmood,
Mahir Faris Abdullah,
Eslam Reda Lotfy,
Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
author_facet Zambri Harun,
Ng, Jie Suang
W. M. Faizal W. Mahmood,
Mahir Faris Abdullah,
Eslam Reda Lotfy,
author_sort Zambri Harun,
title Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
title_short Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
title_full Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
title_fullStr Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
title_full_unstemmed Computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
title_sort computational fluid dynamics simulation on the heat sink performance of a graphics processing unit thermal management
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/14309/1/17.pdf
http://journalarticle.ukm.my/14309/
http://www.ukm.my/jkukm/volume-311-2019/
_version_ 1662755951325741056
score 13.211869