چكيده به لاتين
In this thesis, computational fluid dynamics utilizing water/Al2O3 and water/CuO nanofluids
in three volume fractions of 1.2%, 1.9% & 2.6% as one of the passive methods of enhancing
heat transfer is used for cooling one specific plastic injection mold with fluent with transient
approach using SIMPLE algorithm for reynolds number 9979.1 and turbulent flow and SST k-
ω Turbulence Model. The mentioned mold consists of core plate, cavity plate, helix cooling
channel, cooling grooves and plastic. Thermophysical properties of the two mentioned
nanofluids such as density, specific heat capacity, dynamic viscosity and thermal conductivity
were calculated using correlations given in the referenced articles and attributed to the single
phase fluid in fluent, the velocity and temperature of the inlet fluid and the mold working
temperature were provided by the experimental data as the initial condition. The results showed
that the pressure drop were respectively 2.2%, 3.6% & 7.1% increased in water/Al2O3
nanofluid cases with volume fractions of 1.2%, 1.9% & 2.6% and 5.1%, 7.9% & 11.1% in
water/CuO nanofluid cases with volume fractions of 1.2%, 1.9% & 2.6% compared to water
case pressure drop, wall heat fluxes from cooling channels were respectively 0.88%, 1.35% &
1.82% increased in water/Al2O3 nanofluid cases with volume fractions of 1.2%, 1.9% & 2.6%
and 0.83%, 1.31% & 1.82% in water/CuO nanofluid cases with volume fractions of 1.2%, 1.9%
& 2.6% compared to water case, temperature on cooling channel walls were respectively 0.71
K, 1.10 K & 1.54 K decreased in water/Al2O3 nanofluid cases with volume fractions of 1.2%,
1.9% & 2.6% and 0.67 K, 1.07 K & 1.48 K in water/CuO nanofluid cases with volume fractions
of 1.2%, 1.9% & 2.6%. Period for reaching desired plastic temperature were respectively
1.79%, 2.86% & 3.94% decreased in water/Al2O3 nanofluid cases with volume fractions of
1.2%, 1.9% & 2.6% and 1.43%, 2.5% & 3.58% in water/CuO nanofluid cases with volume
fractions of 1.2%, 1.9% & 2.6%.
