Systematic identification of crystallization kinetics within a generic modelling framework

Noor Asma Fazli Bin Abdul Samad, Kresten Troelstrup Meisler, Krist Gernaey, Nicolas von Solms, Rafiqul Gani

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Abstract

A systematic development of constitutive models within a generic modelling framework has been developed for use in design, analysis and simulation of crystallization operations. The framework contains a tool for model identification connected with a generic crystallizer modelling tool-box, a tool for data handling and translation as well
as model application features. Through this framework it is possible, for a wide range of crystallization processes, to generate the necessary problem-system specific models; to identify the parameters for constitutive models; and to handle or translate raw crystallization data. Application of the systematic framework is highlighted through a sucrose crystallization case study, for which the parameters for nucleation and crystal growth are first estimated from the available measured data and are then applied to study the crystallization operation.
Original languageEnglish
Title of host publicationProceedings of the 11th International Symposium on Process Systems Engineering
EditorsI.A. Karimi, Rajagopalan Srinivasan
PublisherElsevier
Publication date2012
Pages945-949
Publication statusPublished - 2012
Event11th International Symposium on Process Systems Engineering - , Singapore
Duration: 15 Jul 201219 Jul 2012

Conference

Conference11th International Symposium on Process Systems Engineering
CountrySingapore
Period15/07/201219/07/2012
SeriesComputer Aided Chemical Engineering
Volume31
ISSN1570-7946

Keywords

  • Crystallization
  • Generic modelling
  • Model identification
  • Data handling

Cite this

Abdul Samad, N. A. F. B., Meisler, K. T., Gernaey, K., von Solms, N., & Gani, R. (2012). Systematic identification of crystallization kinetics within a generic modelling framework. In I. A. Karimi, & R. Srinivasan (Eds.), Proceedings of the 11th International Symposium on Process Systems Engineering (pp. 945-949). Elsevier. Computer Aided Chemical Engineering, Vol.. 31