Effect of impeller design and power consumption on crystal size distribution

Crystallization processes in a 500 mL stirred tank crystallizer with computational fluid dynamics (CFD) and population balances toward estimating how crystal size distributions (CSDs) are influenced by flow inhomogeneities was explored. The flow pattern and CSD are presented here though extensive ph...

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Bibliographic Details
Published in:AIChE journal 2014-10, Vol.60 (10), p.3596-3613
Main Authors: Rane, Chinmay V., Ekambara, Kalekudithi, Joshi, Jyeshtharaj B., Ramkrishna, Doraiswami
Format: Article
Language:English
Subjects:
Agglomeration
Computational fluid dynamics
crystal size distribution
Crystallization
crystallizers
Crystals
Energy consumption
Energy dissipation
Flow field
Fluid dynamics
Impellers
Mathematical models
phase Doppler particle analyzer
Power consumption
Simulation
stirred tank reactor
Turbines
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Summary:Crystallization processes in a 500 mL stirred tank crystallizer with computational fluid dynamics (CFD) and population balances toward estimating how crystal size distributions (CSDs) are influenced by flow inhomogeneities was explored. The flow pattern and CSD are presented here though extensive phase Doppler particle analyzer measurements and CFD predictions for three different impeller designs (disc turbine, pitched blade turbine, and Propeller) and each rotated at three different speeds (2.5, 5, and10 r/s). As crystallization processes in practice could involve break‐up and aggregation of crystals, some selected break‐up and aggregation kernels are incorporated. Extensive comparison of simulations with experimental data showed consistent trends in the proper quantitative range. An attempt has also been made to develop scaling laws: (a) mean particle size with average power consumption per unit mass and (b) particle‐size distribution with the turbulent energy dissipation distribution. © 2014 American Institute of Chemical Engineers AIChE J, 60: 3596–3613, 2014
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.14541