A compartmental CFD-PBM model of high shear wet granulation
A compartmental CFD-PBM model of high shear wet granulation
The conventional, geometrically lumped description of the physical processes inside a high shear granulator is not reliable for process design and scale-up. In this study, a compartmental Population Balance Model (PBM) with spatial dependence is developed and validated in two lab-scale high shear granulation processes using a 1.9L MiPro granulator and 4L DIOSNA granulator. The compartmental structure is built using a heuristic approach based on computational fluid dynamics (CFD) analysis, which includes the overall flow pattern, velocity and solids concentration. The constant volume Monte Carlo approach is implemented to solve the multi-compartment population balance equations. Different spatial dependent mechanisms are included in the compartmental PBM to describe granule growth. It is concluded that for both cases (low and high liquid content), the adjustment of parameters (e.g. layering, coalescence and breakage rate) can provide a quantitative prediction of the granulation process.
CFD, high shear wet granulation, Monte Carlo, multiple compartments, population balance model
438-458
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Hounslow, Michael J.
f883426e-2100-45c5-890b-3d6e8e3a6e68
Reynolds, Gavin K.
66cdba4a-4f60-49bc-8afd-f83ab9ed7f88
Rasmuson, Anders
5e590675-86e3-4327-a3a8-033d2e1877e0
Niklasson Björn, Ingela
fc714aae-6fd3-4b0b-86a3-de084f807694
Abrahamsson, Per J.
5c71c631-5be2-4c5e-bd33-d1666efe995f
15 July 2016
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Hounslow, Michael J.
f883426e-2100-45c5-890b-3d6e8e3a6e68
Reynolds, Gavin K.
66cdba4a-4f60-49bc-8afd-f83ab9ed7f88
Rasmuson, Anders
5e590675-86e3-4327-a3a8-033d2e1877e0
Niklasson Björn, Ingela
fc714aae-6fd3-4b0b-86a3-de084f807694
Abrahamsson, Per J.
5c71c631-5be2-4c5e-bd33-d1666efe995f
Yu, Xi, Hounslow, Michael J., Reynolds, Gavin K., Rasmuson, Anders, Niklasson Björn, Ingela and Abrahamsson, Per J.
(2016)
A compartmental CFD-PBM model of high shear wet granulation.
AIChE Journal, 63 (2), .
(doi:10.1002/aic.15401).
Abstract
The conventional, geometrically lumped description of the physical processes inside a high shear granulator is not reliable for process design and scale-up. In this study, a compartmental Population Balance Model (PBM) with spatial dependence is developed and validated in two lab-scale high shear granulation processes using a 1.9L MiPro granulator and 4L DIOSNA granulator. The compartmental structure is built using a heuristic approach based on computational fluid dynamics (CFD) analysis, which includes the overall flow pattern, velocity and solids concentration. The constant volume Monte Carlo approach is implemented to solve the multi-compartment population balance equations. Different spatial dependent mechanisms are included in the compartmental PBM to describe granule growth. It is concluded that for both cases (low and high liquid content), the adjustment of parameters (e.g. layering, coalescence and breakage rate) can provide a quantitative prediction of the granulation process.
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e-pub ahead of print date: 4 July 2016
Published date: 15 July 2016
Keywords:
CFD, high shear wet granulation, Monte Carlo, multiple compartments, population balance model
Identifiers
Local EPrints ID: 481577
URI: http://eprints.soton.ac.uk/id/eprint/481577
ISSN: 0001-1541
PURE UUID: e9151ee9-927c-4b8f-9e3f-56ad3efda357
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Date deposited: 04 Sep 2023 16:38
Last modified: 06 Jun 2024 02:19
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Contributors
Author:
Xi Yu
Author:
Michael J. Hounslow
Author:
Gavin K. Reynolds
Author:
Anders Rasmuson
Author:
Ingela Niklasson Björn
Author:
Per J. Abrahamsson
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