Abstract

The problem of natural convective heat transfer of water-based nanofluid along wavy cone surface is investigated numerically. Analysis is performed to study the heat transfer augmentation due to five types of nanoparticles, namely, alumina (Al2O3), copper (Cu), silver (Ag), copper oxide (CuO) and titania (TiO2). The flow has been assumed to be steady and fluid properties have been supposed constant except for the density depending upon temperature giving rise to the buoyancy force. Famous Tiwari and Das model of nanofluid has been utilized in this study. The effects of cone half angle γ and amplitude of the waviness α on the Nusselt number (Nu) and skin friction (Cf) are studied. A comparison is made with the case of pure fluid flow past wavy cone at different values of α. It has been observed that the TiO2-nanoparticle shown to have the maximum cooling performance and Cu-nanoparticle appeared to have maximum heating performance for this study. The results shown in this research arrange for a significant source of reference for taming the natural convection heat transfer enactment along wavy cone. Present results for selected variables are matched with the already published work for pure fluid and are shown to be in good agreement.

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