A compartmental CFD-PBM model of high shear wet granulation
Journal article, 2017

© 2016 American Institute of Chemical EngineersThe 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. © 2016 American Institute of Chemical Engineers AIChE J, 63: 438–458, 2017.

CFD

high shear wet granulation

Monte Carlo

population balance model

multiple compartments

Author

X. Yu

Aston University

University of Sheffield

M.J. Hounslow

University of Sheffield

G.K. Reynolds

AstraZeneca AB

Anders Rasmuson

Chalmers, Chemistry and Chemical Engineering, Chemical Technology, Chemical Environmental Science

I. Niklasson Björn

AstraZeneca AB

Per Abrahamsson

Chalmers, Chemistry and Chemical Engineering, Chemical Technology, Chemical Environmental Science

AICHE Journal

0001-1541 (ISSN) 1547-5905 (eISSN)

Vol. 63 2 438-458

Areas of Advance

Production

Subject Categories

Chemical Engineering

Fluid Mechanics and Acoustics

DOI

10.1002/aic.15401

More information

Latest update

11/16/2021