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

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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Proceedings of the 11th International Symposium on Process Systems Engineering
Editors	I.A. Karimi, Rajagopalan Srinivasan
Publisher	Elsevier
Publication date	2012
Pages	945-949
Publication status	Published - 2012
Event	11th International Symposium on Process Systems Engineering - , Singapore Duration: 15 Jul 2012 → 19 Jul 2012

Conference

Conference	11th International Symposium on Process Systems Engineering
Country	Singapore
Period	15/07/2012 → 19/07/2012

Series	Computer Aided Chemical Engineering
Volume	31
ISSN	1570-7946

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

Abdul Samad, Noor Asma Fazli Bin ; Meisler, Kresten Troelstrup ; Gernaey, Krist ; von Solms, Nicolas ; Gani, Rafiqul. / Systematic identification of crystallization kinetics within a generic modelling framework. Proceedings of the 11th International Symposium on Process Systems Engineering. editor / I.A. Karimi ; Rajagopalan Srinivasan. Elsevier, 2012. pp. 945-949 (Computer Aided Chemical Engineering, Vol. 31).

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title = "Systematic identification of crystallization kinetics within a generic modelling framework",

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.",

keywords = "Crystallization, Generic modelling, Model identification, Data handling",

author = "{Abdul Samad}, {Noor Asma Fazli Bin} and Meisler, {Kresten Troelstrup} and Krist Gernaey and {von Solms}, Nicolas and Rafiqul Gani",

year = "2012",

language = "English",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "945--949",

editor = "I.A. Karimi and Rajagopalan Srinivasan",

booktitle = "Proceedings of the 11th International Symposium on Process Systems Engineering",

address = "United Kingdom",

note = "11th International Symposium on Process Systems Engineering, PSE-2012 ; Conference date: 15-07-2012 Through 19-07-2012",

}

Abdul Samad, NAFB, Meisler, KT, Gernaey, K , von Solms, N & Gani, R 2012, Systematic identification of crystallization kinetics within a generic modelling framework. in IA Karimi & R Srinivasan (eds), Proceedings of the 11th International Symposium on Process Systems Engineering. Elsevier, Computer Aided Chemical Engineering, vol. 31, pp. 945-949, 11th International Symposium on Process Systems Engineering, Singapore, 15/07/2012.

Systematic identification of crystallization kinetics within a generic modelling framework. / Abdul Samad, Noor Asma Fazli Bin; Meisler, Kresten Troelstrup; Gernaey, Krist ; von Solms, Nicolas; Gani, Rafiqul.

Proceedings of the 11th International Symposium on Process Systems Engineering. ed. / I.A. Karimi; Rajagopalan Srinivasan. Elsevier, 2012. p. 945-949 (Computer Aided Chemical Engineering, Vol. 31).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - 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.

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