Analysis of mesoscale effects in high-shear granulation through a computational fluid dynamics-population balance coupled compartment model


There is a need for mesoscale resolution and coupling between flow-field information and the evolution of particle properties in high-shear granulation. We have developed a modelling framework that compartmentalizes the high-shear granulation process based on relevant process parameters in time and space. The model comprises a coupled-flow-field and population-balance solver and is used to resolve and analyze the effects of mesoscales on the evolution of particle properties. A Diosna high-shear mixer was modelled with microcrystalline cellulose powder as the granulation material. An analysis of the flow-field solution and compartmentalization allows for a resolution of the stress and collision peak at the impeller blades. Different compartmentalizations showed the importance of resolving the impeller region, for aggregating systems and systems with breakage. An independent study investigated the time evolution of the flow field by changing the particle properties in three discrete steps that represent powder mixing, the initial granulation stage mixing and the late stage granular mixing. The results of the temporal resolution study show clear changes in collision behavior, especially from powder to granular mixing, which indicates the importance of resolving mesoscale phenomena in time and space.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry
College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
Additional Information: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: high shear wet granulation,population balance model,compartment model,CFD,Materials Science(all),Condensed Matter Physics
Publication ISSN: 1674-2001
Last Modified: 11 Mar 2024 08:17
Date Deposited: 15 Mar 2017 16:25
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2018-02
Published Online Date: 2017-06-20
Accepted Date: 2017-01-10
Submitted Date: 2016-08-23
Authors: Abrahamsson, P.J.
Kvist, P.
Reynolds, G.
Yu, X. (ORCID Profile 0000-0003-3574-6032)
Björn, Ingela Niklasson
Hounslow, M.J.
Rasmuson, A.

Export / Share Citation


Additional statistics for this record