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http://dx.doi.org/10.3795/KSME-B.2013.37.10.887

A Study on Prediction of Effective Thermal Conductivity of Nano-Fluids Using Generalized Self-Consistent Model and Modified Eshelby Model  

Lee, Jae-Kon (School of Mechanical and Automotive Engineering, Catholic Univ. of Daegu)
Kim, Jin Gon (School of Mechanical and Automotive Engineering, Catholic Univ. of Daegu)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.37, no.10, 2013 , pp. 887-894 More about this Journal
Abstract
Effective thermal conductivity of nanofluids has been predicted by using generalized self-consistent model and modified Eshelby model, which have been used for analysis of material properties of composites. A nanolayer between base fluid and nanoparticle, one of key factors for abrupt enhancement of thermal conductivity of nanofluids, is included in the analysis. The effective thermal conductivities of the nanofluid predicted by the present study show good agreement with those by models in the literature for the nanolayer with a constant or linear thermal conductivity. The predicted results by the present approach have been confirmed to be consistent with experiments for representative nanofluids such as base fluids of water or ethyleneglycol and nanoparticles of $Al_2O_3$ or CuO to be validated.
Keywords
Nanofluid; Nanolayer; Thermal Conductivity; Generalized Self-Consistent Model; Modified Eshelby Model;
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