Performance Analysis of Microchannel Heat Sink Using Nanofluids in Laminar Flow Regime and its simulation using Artificial Neural Network

The microchannel heat sink (MCHS) has received extensive study over the past two decades because of its capability to dissipate large amounts of heat from a small area. The most frequently used coolants in the MCHS study were air, water, and fluorochemicals [1]. One of the methods for enhancing heat transfer is the application of additives to the working fluids. Recent interest based on this concept focused on heat transfer enhancement using a nanofluid in which nanoscale metallic or nonmetallic particles are suspended in the base fluids. Several experimental and analytical studies have shown nanofluids have higher thermal conductivity than pure fluids and therefore great potential for heat transfer enhancement [