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Title: Numerical study of nanofluid heat transfer enhancement with mixing thermal conductivity models [pp. 855 - 867]
Authors: Tongkratoke, Amarin
Pramuanjaroenkij, Anchasa
Chaengbamrung, Apichart
Kakaç, Sadık
Issue Date: 2012
Publisher: Begell House Inc.
Source: International Symposium on Advances in Computational Heat Transfer, CHT 2012, 1 July 2012 through 6 July 2012, , 224449
Abstract: Nanofluids has shown its possibility in enhancing heat transfer performance above its base fluids. This work presents a numerical study to analyze the nanofluid heat transfer enhancement using different theoretical models; the effective viscosity and the effective thermal conductivity models. The Maxwell, Brownian motion, and Yu and Choi models are considered as thermal conductivity models and the models are used in the simulation domain alternately, named the mixing models. The Al2O3-water nanofluids is chosen in this study and assumed to flow under laminar fully developed flow condition through a rectangular pipe as in a circuit application. The governing equations written in terms of the primitive variables are solved through an in-house program using the finite volume method and the SIMPLE algorithm. The results showed that different effective viscosity and thermal conductivity models play important roles, especially at wall surfaces where the convective heat transfer is enhanced effectively. Moreover, the small volume fractions, the nanofluid volume fractions from 0.01 to 0.03 can increase the heat transfer enhancement. Therefore, the volume fraction, the effective viscosity and the effective thermal conductivity at the wall region can be increased by increasing nanoparticle amount. This work can strongly support the literatures that the volume fraction, the effective viscosity and the effective thermal conductivity can enhance the heat transfer performance in the nanofluid flows not only with the single-phase model considered but also with the mixing models examined. © 2012, Begell House Inc. All rights reserved.
ISBN: 9781567003031
ISSN: 2578-5486
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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