Nano Archive

Predicting the effective thermal conductivity of carbon nanotube based nanofluids

Sastry , N. N. Venkata and Bhunia, Avijit and Sundararajan , T. and Das, Sarit. K. (2008) Predicting the effective thermal conductivity of carbon nanotube based nanofluids. NANOTECHNOLOGY, 19 (5). 055704. ISSN 0957-4484 (Print); 1361-6528 (Online)

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Official URL: http://iopscience.iop.org/0957-4484/19/5/055704/?e...

Abstract

Adding a small volume fraction of carbon nanotubes (CNTs) to a liquid enhances the thermal conductivity significantly. Recent experimental findings report an anomalously wide range of enhancement values that continue to perplex the research community and remain unexplained. In this paper we present a theoretical model based on three-dimensional CNT chain formation (percolation) in the base liquid and the corresponding thermal resistance network. The model considers random CNT orientation and CNT–CNT interaction forming the percolating chain. Predictions are in good agreement with almost all available experimental data. Results show that the enhancement critically depends on the CNT geometry (length), volume fraction, thermal conductivity of the base liquid and the nanofluid (CNT–liquid suspension) preparation technique. Based on the physical mechanism of heat conduction in the nanofluid, we introduce a new dimensionless parameter that alone characterizes the nanofluid thermal conductivity with reasonable accuracy (~ ± 5%).

Item Type:Article
Subjects:Physical Science > Nanophysics
Physical Science > Nano objects
Material Science > Nanochemistry
Material Science > Nanostructured materials
Divisions:Faculty of Engineering, Science and Mathematics > School of Physics
Faculty of Engineering, Science and Mathematics > School of Chemistry
ID Code:6481
Deposited By:JNCASR
Deposited On:11 Aug 2009 07:16
Last Modified:11 Aug 2009 07:16

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