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.
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 |
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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 |
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Country/Territory | Singapore |
Period | 15/07/2012 → 19/07/2012 |
Series | Computer Aided Chemical Engineering |
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Volume | 31 |
ISSN | 1570-7946 |
Keywords
- Crystallization
- Generic modelling
- Model identification
- Data handling