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Computational Thermal Sciences: An International Journal
ESCI SJR: 0.249 SNIP: 0.434 CiteScore™: 0.7

ISSN Imprimer: 1940-2503
ISSN En ligne: 1940-2554

Computational Thermal Sciences: An International Journal

DOI: 10.1615/ComputThermalScien.2018018792
pages 219-232

MODELLING SOLIDIFICATION OF BINARY MIXTURES IN CAVITY AND CHANNEL FLOWS

Ke San Yam
Department of Engineering and Science, Curtin University Malaysia Campus, CDT 250 Miri Sarawak, Malaysia
Arnaud Bourdillon
Center for Computational Engineering Sciences, Cranfield University, College Road, Bedford MK43 0AL, United Kingdom
Robert Sawko
Center for Computational Engineering Sciences, Cranfield University, College Road, Bedford MK43 0AL, United Kingdom
Chris Thompson
Center for Computational Engineering Sciences, Cranfield University, College Road, Bedford MK43 0AL, United Kingdom

RÉSUMÉ

This work presents a numerical study on predicting the freezing processes of a binary mixture using the computational fluid dynamics (CFD) code OpenFoam 2.3.0. The aim is to develop a model that can predict the freezing of brine in a channel flow. A mixture model was implemented into the CFD code and the model validation was performed comparing against the results of Christenson and Incropera [Int. J. Heat Mass Transfer, vol. 32, no. 1, pp. 47–68, 1989] in predicting the freezing of a brine solution in a differentially heated cavity. The model successfully predicts the multiple double-diffusion layers within the liquid zone and formation of liquid pockets within the mushy zones, which agree with the experiment. On the other hand, slight discrepancies were perceived for the comparison on the liquidus and solidus fronts. The inertial and unsteady effects in the mushy zone were investigated in an effort to improve these differences, but they were found to be insignificant. The validated model was applied to predict the freezing of brine in a channel flow. The model successfully predicts the formation of pure water due to the salt being ejected into the liquid zone.

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