Abstract
In this investigation, to expedite the phenomena of converting water to ice, nano-powders of Al2O3 with various sizes were utilized. For simulation, Galerkin method with involve of implicit technique for unsteady source term was applied. Besides, the grid configuration has been changed during the freezing according the position of ice front. Energy equation has one source term according to freezing process and properties of PCM has been changed with adding nanoparticles which were involved in modeling with considering empirical correlations. Validation test in comparison of published article demonstrates nice agreement. Dispersing additive makes the freezing time to decline around 41.21% because of increment of conduction mode with dispersing nanoparticles. With increase of size up to dp = 40, the freezing time declines about 19.96% but as dp augments up to 50 nm, the needed time augments about 49.21%. Increasing concentration of nano-powders with dp = 40 makes freezing time to decrease around 19.42%.
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