An artificial neural network approach to cooling analysis of electronic components in enclosures filled with nanofluids

Kargar, A., Ghasemi, B. and Aminossadati, S. M. (2011) An artificial neural network approach to cooling analysis of electronic components in enclosures filled with nanofluids. Journal of Electronic Packaging, 133 1: 1-9.


Author Kargar, A.
Ghasemi, B.
Aminossadati, S. M.
Title An artificial neural network approach to cooling analysis of electronic components in enclosures filled with nanofluids
Journal name Journal of Electronic Packaging   Check publisher's open access policy
ISSN 1043-7398
0738-0666
Publication date 2011-03
Sub-type Article (original research)
DOI 10.1115/1.4003215
Volume 133
Issue 1
Start page 1
End page 9
Total pages 9
Place of publication United States
Publisher American Society of Mechanical Engineers
Collection year 2012
Language eng
Abstract Computational fluid dynamics (CFD) and artificial neural network (ANN) are used to examine the cooling performance of two electronic components in an enclosure filled with a Cu-water nanofluid. The heat transfer within the enclosure is due to laminar natural convection between the heated electronic components mounted on the left and right vertical walls with a relatively lower temperature. The results of a CFD simulation are used to train and validate a series of ANN architectures, which are developed to quickly and accurately carry out this analysis. A comparison study between the results from the CFD simulation and the ANN analysis indicates that the ANN accurately predicts the cooling performance of electronic components within the given range of data. ©2011 American Society of Mechanical Engineers
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Received 5 January 2010; revised 20 June 2010; published 10 March 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
Official 2012 Collection
 
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Created: Sat, 12 Mar 2011, 16:24:31 EST by Dr Saiied Aminossadati on behalf of School of Mechanical and Mining Engineering