Numerical simulation of natural convection of nanofluid in a square enclosure: Effects due to uncertainties of viscosity and thermal conductivity

Thermal performance and entropy generation analysis of a high concentration ratio parabolic trough solar collector with Cu-Therminol®VP-1 nanofluid

“…The nanofluid specific heat capacity is given by [51][52][53] (1 ) (25) The Bruggeman model [52,56], which considers interaction among spherical particles with various concentrations of inclusion, was used for modelling thermal conductivity of the nanofluid. The thermal conductivity obtained with the Bruggeman model compares very well with Maxwell's model of the classic effective medium theory which was shown to be accurate for well-dispersed particles in a benchmark study of thermal conductivities of nanofluids [57].…”

Heat transfer enhancement for natural convection flow of water-based nanofluids in a square enclosure

“…They investigated the convective instability of the flow and heat transfer and reported that the natural convection of a nanofluid becomes more stable when the volume fraction of nanoparticles increases. Ho et al [7] studied the effects on nanofluid heat transfer due to viscosity and thermal conductivity in a buoyant enclosure filled with alumina-water nanofluid. They demonstrated that usage of different models for viscosity and thermal conductivity has a major impact on heat transfer and flow characteristics.…”

Unsteady MHD free convection flow past a vertical permeable flat plate in a rotating frame of reference with constant heat source in a nanofluid

“…The comprehensive references on nanofluid can be found in the recent book by Das et al [12] and in the review papers by Trisaksri and Wongwises [35], Wang and Mujumdar [37], and Kakaç and Pramuanjaroenkij [23]. There have been published quite many numerical studies on the modeling of natural convection heat transfer in nanofluids, namely Khanafer et al [25], Roy et al [34], Jou and Tzeng [22], Ho et al [18,19], Congedo et al [11], and Ghasemi and Aminossadati [15]. These studies have used traditional finitedifference and finite-volume techniques with the tremendous call on computational resources that these techniques necessitate.…”