Analysis of Nanofluid Heat Transfer and Entropy Generation in a Novel Metal Foam Heat Sink

Abstract

This study investigated the impact of key parameters, including Re (300 ≤ Re ≤ 1800), Φ (0% ≤ Φ ≤ 2.5%), ɛ (0.2 ≤ ɛ ≤ 0.9), and Da (10−4 ≤ Da ≤ 10−1), on heat transfer and entropy generation in a novel metal foam heat sink. Results show that increasing the Darcy number to 10−1 can enhance the average Nusselt number by approximately 18.05% while placing Al.Cu foam in the middle of the heat sink can significantly reduce the CPU surface temperature by up to 15 .C. Additionally, increasing the Reynolds number from 300 to 1800 can lower the thermal entropy generation by up to 51.55%. The metal foam’s effectiveness was evaluated using performance evaluation criteria (PEC).