Using Four Model for Predicting the Thermal Conductivity in the Analysis of the Efficacy of Nanofluid in a Double-Tube Heat Exchanger

Abstract

In the present paper, CuO/Ethylene-Glycol (EG) nanofluid with dp=29 nm and volume fractions of nanoparticles ( ) as coolant has been used in a double-tube heat exchanger to optimize its heat transfer performance under laminar flow conditions. The hot solvent inlet heat exchanger must be cooled down with a specified amount. At first, the heat transfer relations between hot solvent and nanofluid as coolant in the heat exchanger have been investigated theoretically. Subsequently, the heat transfer coefficient, overall heat transfer coefficient, friction factor, pressure drop and pumping power for CuO/EG nanofluid calculated based on four experimental models presented to predict the thermal conductivity of the CuO/EG nanofluid. Moreover, the heat transfer area is optimized by using the CuO/EG as coolant in the heat exchanger to reject this same amount of heat.

Authors and Affiliations

Navid Bozorgan

Keywords

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  • EP ID EP447520
  • DOI -
  • Views 103
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How To Cite

Navid Bozorgan (2015). Using Four Model for Predicting the Thermal Conductivity in the Analysis of the Efficacy of Nanofluid in a Double-Tube Heat Exchanger. Analele Universitatii "Eftimie Murgu" Resita. Fascicula de Inginerie, 22(2), 49-57. https://europub.co.uk./articles/-A-447520