Journal
CHEMICAL ENGINEERING SCIENCE
Volume 63, Issue 19, Pages 4656-4675Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2007.10.030
Keywords
Crystallization; In situ monitoring; Instrumentation; Mathematical modeling; Particle shape; Particulate processes
Categories
Funding
- Swiss Innovation Promotion Agency [6822.2]
- BASF
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In this work a model is defined allowing for a rapid calculation of chord length distributions as well as the prediction of in situ microscopy data. Both calculations are done using the same underlying algorithm. The model assumes convex polyhedral particles that are defined by their vertices only, connected by straight lines, but imposes no further restrictions on particle geometry. Due to its speed, the model can easily be used for the prediction of experimental data from in situ monitoring tools based on whole particle populations, also with non-constant shape. The model has been verified using in situ microscopy to characterize a population of disc shaped particles. The applications of the model are focused on crystallization processes, but are not limited to these. Several relations between data measured by in situ instruments and the underlying multidimensional particle size distribution have been derived. The model is used extensively in a method that is presented allowing for the calculation of bidimensional growth rates from Focused Beam Reflectance Measurement or in situ microscopy measurements. (c) 2007 Elsevier Ltd. All rights reserved.
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