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) 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.
Keywords: Forced convection, Nanoparticles shapes, Slot jets, Turbulence.
