Abstract
A computational analysis on water-Al2O3 nanofluid turbulent forced convection is performed to analyze heat transfer and entropy production in a channel containing heated blocks, cooled by impinging jets. The two phase mixture model (TPMM) is used. The increase in the Reynolds number (Re) and the volume fraction of nanoparticles (φ), the decrease in spacing between the heated block (Db) and moving the location of the second jet (J2) to the first jet (J1) contribute to increasing the heat transfer rate (HTR).In addition, the TPMM gives higher values of average Nusselt number (Nu) than the single-phase model (SPM). The thermal (𝑆𝑔 ,𝑡ℎ), frictional (𝑆𝑔 ,𝜈) and total (𝑆𝑔 ,𝑡) entropy generation values increase with Re and φ. When Db is reduced, 𝑆𝑔,𝑡 increases. However, 𝑆𝑔 ,𝑡 increases when the jet position vary from J2 to J1. Different correlations are proposed for Nu . Our results are compared with data available in the literature.
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