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Seed_Recipe_CES_revision_Feb2010.pdf (1.34 MB)

Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes

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journal contribution
posted on 2013-01-16, 09:21 authored by Erum Aamir, Zoltan NagyZoltan Nagy, Chris RiellyChris Rielly
The paper presents a novel quality-by-design framework for the design of optimal seed recipes for batch cooling crystallisation systems with the aim to produce a desired target crystal size distribution (CSD) of the product. The approach is based on a population balance model-based optimal control framework, which optimizes the compositions of seed blends, based on seed fractions that result from standard sieve analysis. The population balance model is solved using a combined quadrature method of moments and method of characteristics (QMOM-MOCH) approach for the generic case of apparent size-dependent growth. Seed mixtures are represented as a sum of Gaussian distributions, where each Gaussian corresponds to the seed distribution in a particular sieve size range. The proposed methods are exemplified for the model system of potassium dichromate in water, for which the apparent size-dependent growth kinetic parameters have been identified from laboratory experiments. The paper also illustrates the simultaneous application of in situ process analytical tools, such as focused beam reflectance measurement (FBRM) for nucleation detection, attenuated total reflection (ATR) UV/Vis spectroscopy for concentration monitoring, as well as the in-line use of laser diffraction particle sizing for real-time CSD measurement.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Citation

AAMIR, E., NAGY, Z.K. and RIELLY, C.D., 2010. Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes. Chemical Engineering Science, 65 (11), pp.3602-3614.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publication date

2010

Notes

This is the author’s version of a work that was accepted for publication in the Chemical Engineering Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published at: http://dx.doi.org/10.1016/j.ces.2010.02.051

ISSN

0009-2509

Language

  • en