A framework for polydisperse pulp phase modelling in flotation
File(s)Bhutani_&_Brito-Parada_2019_accepted.pdf (13.28 MB)
Accepted version
Author(s)
Bhutani, Gaurav
Brito Parada, Pablo Rafael
Type
Journal Article
Abstract
Froth flotation is one of the most widely-used mineral processing operations. The pulp zone in flotation tanks is polydisperse in
general and serves as a medium for the interaction between the solid particles and the gas bubbles in a liquid continuum, leading
to particle–bubble attachment/detachment and bubble coalescence/breakage phenomena. To better predict the hydrodynamics and
inform the design of e cient flotation equipment, it is therefore important to accurately model and simulate the evolution of the size
distribution of the dispersed phases. This has created an urgent need for a framework that can model the pulp phase in an e cient
manner, which is not currently available in the literature. The available software products are not e cient enough to allow for a
tractable modelling of industrial-scale flotation cells and in some cases they cannot model the polydispersity of the dispersed phase
at all. This work presents an e cient numerical framework for the macroscale simulation of the polydisperse pulp phase in froth
flotation in an open-source finite element computational fluid dynamics (CFD) code that provides an e cient solution method using
mesh adaptivity and code parallelisation. A (hybrid finite element–control volume) finite element framework for modelling the pulp
phase has been presented for the first time in this work. An Eulerian–Eulerian turbulent flow model was implemented in this work
including a transport equation for attached and free solid particles. Special care was taken to model the settling velocity of the free
solids and the modification of the liquid viscosity due to the presence of these particles. Bubble polydispersity was modelled using
the population balance equation (PBE), which was solved using the direct quadrature method of moments (DQMOM). Appropriate
functions for bubble coalescence and breakage were chosen in the PBE. Mesh adaptivity was applied to the current problem to
produce fully-unstructured anisotropic meshes, which improved the solution e ciency, while all simulations were executed on a
multicore architecture. The model was validated for 2D simulations of a bubble column against experimental results available in
the literature. After successful validation, the model was applied to the simulation of the pulp phase in a flotation column for
monodisperse and polydisperse solids. Polydispersity of the solids was modelled for the first time in this work using three separate
solid size classes. A clear dependence of the flotation rate on the particle size was noticed and the monodisperse solids simulations
were shown to over-predict the flotation rate. Other than flotation, this open-source framework can be used for the simulation of a
variety of polydisperse multiphase flow problems in the process industry.
general and serves as a medium for the interaction between the solid particles and the gas bubbles in a liquid continuum, leading
to particle–bubble attachment/detachment and bubble coalescence/breakage phenomena. To better predict the hydrodynamics and
inform the design of e cient flotation equipment, it is therefore important to accurately model and simulate the evolution of the size
distribution of the dispersed phases. This has created an urgent need for a framework that can model the pulp phase in an e cient
manner, which is not currently available in the literature. The available software products are not e cient enough to allow for a
tractable modelling of industrial-scale flotation cells and in some cases they cannot model the polydispersity of the dispersed phase
at all. This work presents an e cient numerical framework for the macroscale simulation of the polydisperse pulp phase in froth
flotation in an open-source finite element computational fluid dynamics (CFD) code that provides an e cient solution method using
mesh adaptivity and code parallelisation. A (hybrid finite element–control volume) finite element framework for modelling the pulp
phase has been presented for the first time in this work. An Eulerian–Eulerian turbulent flow model was implemented in this work
including a transport equation for attached and free solid particles. Special care was taken to model the settling velocity of the free
solids and the modification of the liquid viscosity due to the presence of these particles. Bubble polydispersity was modelled using
the population balance equation (PBE), which was solved using the direct quadrature method of moments (DQMOM). Appropriate
functions for bubble coalescence and breakage were chosen in the PBE. Mesh adaptivity was applied to the current problem to
produce fully-unstructured anisotropic meshes, which improved the solution e ciency, while all simulations were executed on a
multicore architecture. The model was validated for 2D simulations of a bubble column against experimental results available in
the literature. After successful validation, the model was applied to the simulation of the pulp phase in a flotation column for
monodisperse and polydisperse solids. Polydispersity of the solids was modelled for the first time in this work using three separate
solid size classes. A clear dependence of the flotation rate on the particle size was noticed and the monodisperse solids simulations
were shown to over-predict the flotation rate. Other than flotation, this open-source framework can be used for the simulation of a
variety of polydisperse multiphase flow problems in the process industry.
Date Issued
2020-04-01
Date Acceptance
2019-10-22
Citation
Separation and Purification Technology, 2020, 236
ISSN
0950-4214
Publisher
Elsevier
Journal / Book Title
Separation and Purification Technology
Volume
236
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
0301 Analytical Chemistry
0904 Chemical Engineering
Chemical Engineering
Publication Status
Published online
Article Number
116252
Date Publish Online
2019-11-12