Loading…

Crystal Growth Rate Dispersion versus Size-Dependent Crystal Growth: Appropriate Modeling for Crystallization Processes

Crystal growth rate dispersion (GRD) and size-dependent crystal growth (SDG) models are models to extend McCabe’s ΔL Law to more accurately account for variation in the crystal growth rates within a population of crystals. GRD is a phenomenon where the crystal growth rate either fluctuates randomly...

Full description

Saved in:
Bibliographic Details
Published in:Crystal growth & design 2015-05, Vol.15 (5), p.2330-2336
Main Authors: Srisanga, Sukanya, Flood, Adrian E, Galbraith, Shaun C, Rugmai, Supagorn, Soontaranon, Siriwat, Ulrich, Joachim
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Crystal growth rate dispersion (GRD) and size-dependent crystal growth (SDG) models are models to extend McCabe’s ΔL Law to more accurately account for variation in the crystal growth rates within a population of crystals. GRD is a phenomenon where the crystal growth rate either fluctuates randomly over time or varies over a population of crystals. SDG is where the growth rate of a crystal depends on its size, typically with growth rates assumed to increase monotonically with crystal size. Although it has been recognized for more than 30 years that, except for extremely small crystals, SDG is an artifact of GRD, it is still common in the literature for GRD in experimental results to be modeled using SDG models. This discussion will present some background and new experiments on the mechanism and extent of GRD to demonstrate that GRD is a real phenomenon, whereas SDG is largely an artifact, and some modeling work to demonstrate that SDG models cannot successfully replicate crystal size distribution data that originate due to GRD. More work needs to be done in accurate population balance modeling for processes where GRD is significant rather than assuming that SDG models are adequate.
ISSN:1528-7483
1528-7505
DOI:10.1021/acs.cgd.5b00126