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Permanent link (DOI): https://doi.org/10.7939/R33B5WD3Q

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NUMERICAL AND SEMI-EMPIRICAL MODELING OF PARTICLES UNDERGOING PHASE CHANGE UNDER THE INFLUENCE OF CONVECTION Open Access

Descriptions

Other title
Subject/Keyword
Euler-Lagrange
scale bridge model
phase change
DNS
Numerical modeling
convection
Multiscale modeling
Multiphase flow
subgrid model
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Bansal, Hemant
Supervisor and department
Nikrityuk, Petr (Chemical and Materials Engineering)
Examining committee member and department
Hayes, Robert (Chemical and Materials Engineering)
Semagina, Natalia (Chemical and Materials Engineering)
Department
Department of Chemical and Materials Engineering
Specialization
Chemical Engineering
Date accepted
2016-05-17T09:46:27Z
Graduation date
2016-06
Degree
Master of Science
Degree level
Master's
Abstract
This work is devoted to the development and validation of subgrid models describing heat and mass transfer between the bulk flow of gas/liquid and a moving particle undergoing phase change under the influence of free/mixed/forced convection. Such kind of submodels plays the role of ’scale bridges’ between microscale (e.g. interfacial phenomena) and macroscale phenomena (e.g. continuous casting). Applied to the multiscale modeling, our new model serves as a coupling between equations describing particle movement in Lagrangian space and mass, momentum, heat and species conservation equations defining melt flow in Eulerian space. Input parameters are Reynolds number (Re), Grashof number (Gr), Stefan number (Ste) and Prandtl number (Pr). The models have been validated against experimental data published recently in the literature applied to the melting of spherical and cylindrical ice particle under different flow conditions. Good agreement between numerical predictions and experimental data is observed. Additionally, some of the experiments are repeated numerically using CFD-based particle-resolved simulations. Basic flow features are discussed. Finally, the models developed for a single particle can be adopted for multi-particles systems.
Language
English
DOI
doi:10.7939/R33B5WD3Q
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
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