Abstract

The finite volume method is employed to analyze the fluid flow, heat transfer and entropy generation within a fluid channel. The fluid channel is filled with CuO-water nanofluid. The KKL model is used to estimate the dynamic viscosity and consider the Brownian motion. On the other hand, the influence of nanoparticles' shapes on the thermal conductivity is considered. The fluid channel is included with hot and cold fluid injection pipes which are modeled as active bodies in 2D model. Three different governing parameters are utilized such as Rayleigh number in range of 103 < Ra < 106, nanoparticle concentration in range of 0<φ<0.04 and three different thermal arrangements of internal pipes (Case A, Case B and Case C). Impacts of these parameters on the nanofluid flow, heat transfer rate, local and total entropy generation and heatlines are presented, comprehensively.

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