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Numerical investigations of using carbon foam/PCM/Nano carbon tubes composites in thermal management of electronic equipment

Energy Conversion and Management • 2015
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Publication Information
Authors W.G. Alshaer, S.A. Nada, M.A. Rady, Cedric Le Bot, Elena Palomo Del Barrio
Keywords Thermal management Electronic equipment PCM Nano carbon tubes
Journal Energy Conversion and Management
Publisher Elsevier
Volume 89 (2015)
Issue 89 (2015)
Pages 873–884
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
A numerical investigation of predicting thermal characteristics of electronic equipment using carbon
foam matrix saturated with phase change material (PCM) and Nano carbon tubes as thermal management
modules is presented. To study the effect of insertion of RT65 and Nano carbon tubes in carbon
foam matrices of different porosities, three different modules; namely Pure CF-20, CF20 + RT65, and
CF-20 + RT65/Nano carbon modules are numerically tested at different values of carbon foam porosities.
Mathematical model is obtained using volume averaging technique based on single-domain energy equation
and a control volume based numerical scheme. Interfacial effects influencing heat transfer process at
enclosure wall, module surface and different interfacial surfaces within the composite have been
addressed. Governing equations have been solved using a CFD code (Thétis, http://thetis.enscbp.fr).
Mathematical model is validated by comparing its prediction with previous experimental measurements
for pure CF-20 foam and CF-20 + RT65 composite modules. The model is used to predict thermal characteristics
of CF-20 + RT65/Nano carbon tubes composite as a thermal management modules. Results reveal
that insertion of RT65/MWCNTs in CF-20 leads to a 11.5% reduction in the module surface temperature
for carbon foam porosities less than 75%. The reduction decrease to 7.8% for a porosity of 88%. Numerical
results of transient and steady state temperature histories at different depths within the module are compared
with previous experimental data and fair agreement is obtained.