Performance Optimization of a Microchannel heat sink using Taguchi design of experiments

Abstract

High processing speed and high power handling capacity of electronic devices increases the problem
of waste heat generation which can affect the efficiency of and life of electronic devices. Therefore,
microchannel heat sinks (MCHS) are used nowadays to dissipate the waste heat generated and maintain the
surface temperature of MCHS within the operating range. A better design of microchannel heat sink is needed
for its efficient performance and reliability. In this paper three different inlet saturated temperatures of water
as a fluid has been selected for Taguchi optimization of experimental results on MINITAB Software. Six
different factors (time, channel length, power, number of channel, mass flux, and channel diameter) and their
levels are identified which can affect the performance of MCHS test device. Here, performance of MCHS
corresponds to minimum surface temperature of test device. Now these factors are optimized to have a
minimum surface temperature of experimental results using Taguchi analysis for 3 level and L27 array on
Minitab Software. The smaller the better has been selected as objective criterion for optimization. The
optimized simulated results are validated after performing ANOVA analysis for interpretation of general linear
model. Optimized results confirmed that time, channel length, power, and channel diameter are the most
affecting factors while mass flux, and number of channels are less affecting factors. It has been concluded that
optimized flux (150 kg/m2
s) and higher number of channel (13) is needed for better heat transfer performance
of MCHS test device.