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Optimal Seed Recipe Design for Crystal Size Distribution Control for Batch Cooling Crystallisation Processes by E. Aamir; Z.K. Nagy; C.D. Rielly is a Engineering article available to read on EtoBox.

What is Optimal Seed Recipe Design for Crystal Size Distribution Control for Batch Cooling Crystallisation Processes about?

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 optimises 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 sizedependent 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 spectrosc

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Author

E. Aamir; Z.K. Nagy; C.D. Rielly

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0009-2509)

Published

2010

Language

EN

Field

Engineering (Physical Sciences)