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DOI: 10.1615/ICHMT.2015.IntSympAdvComputHeatTransf.650
pages 756-770

Amarin Tongkratoke
Faculty of Science and Engineering, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000 Thailand

Anchasa Pramuanjaroenkij
Faculty of Science and Engineering, Kasetsart University, Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon 47000 Thailand

Apichart Chaengbamrung
Department of Mechanical Engineering, Kasetsart University, Bangkok, 10900, Thailand

Sadik Kakac
Department of Mechanical Engineering,TOBB University of Economics and Technology, Ankara-Turkey; and LIPING CAO, Westinghouse Electric Company, LLC, PA; and Department of Mechanical Engineering, University of Miami, Florida - USA


To increase heat transfer performances in heat exchangers, heat transfer media play important roles and are improved continuously. Nanofluids, combinations of base fluids and nanoparticles, are one of the media which are developed progressively, especially by enhancing the nanofluid and nanoparticle properties. This work focused on studying permeability effects of the Cu-water nanofluid flows. The mathematical model of the nanofluid flow has been developed as the steady flow of the fluid with nanofluid properties through the porous medium of the Cu nanoparticles. The simulated nanofluid flow was under fully developed laminar flow condition through a rectangular pipe as in electronic applications. The governing equations written in terms of the 3D dimensionless variables were solved through an in-house program by using the finite volume method with the SIMPLE algorithm. Since the nanoparticle arrangement was simulated as the porous media, so effects of the porous properties; permeability and thermal conductivity of Cu, were studied. From results, the calculated convective heat transfer coefficients with using the mixing thermal conductivity model; Yu and Choi model coupled with Maxwell model, as the model of the fluid flowing through the Cu porous medium, were closer to the coefficients obtained from the experimental work than those with using other mixing models. Then, the best mixing model was brought to investigate the effects of the Cu permeability values, from 1.17 × 10−11 to 2 m2, the simulated results from 1.17 × 10−11 to 0.001 m2 were approaching to the experimental results, noted that the Cu permeability was found at 1.17 × 10−11 m2. The developed model using the mixing thermal conductivity model with the porous media and the suitable permeability assumption could improve the model performance and supported its excellent potential in the nanofluid simulation as the porous media.

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