Numerical Investigation of Turbulent Slot Jets with Various Nanoparticles Shapes

Abstract

In this work, a numerical investigation related to the turbulent forced convection of a water-Al2O3 nanofluid in slot jets impinging on multiple hot components fixed on the lower wall, using different nanoparticle shapes (spherical, blades, bricks, cylindrical and platelets), was carried out. The standard k-ε turbulence model with wall enhanced treatment and two-phase mixture model were used to analyze the fluid flow and heat transfer. The outcomes revealed that the increase in the Reynolds number (Re) and volume fraction of nanoparticles (φ) with all nanoparticle shapes enhanced the heat transfer rate. The platelets nanoparticle's shape significantly contributes to increasing the heat transfer rate compared with other forms. Also, we have found that the two-phase mixture model gives a higher average Nusselt number (Nu) values compared to the single-phase model, and the maximum values of (Nu)&nbsp;is located around the last block due to the second jet's dominance (J2) compared to the first jet (J1). We have compared our results with those found in the literature.<br>