Optimal control of a batch crystallization process
Abstract
A dynamic model of an aluminium trihydroxide batch crystallization is considered in this work. The process model, which takes into account kinetics of nucleation, growth and agglomeration, is based on the mass balance of the process and the population balance of the dispersed crystals. Assuming that the temperature of the solution and the seeding policy are variable, optimal control techniques are applied to the model to optimize various performance criteria. Some interesting numerical results for the behaviour of the model are presented.
Citation
Rehbock, Volker and Livk, Iztok. 2007. Optimal control of a batch crystallization process. Journal of Industrial and Management Optimization. 3 (3): pp. 585-596.
Source Title
Journal of Industrial and Management Optimization
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Department of Mathematics and Statistics
School of Science
Faculty of Science and Engineering
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The link to the journal’s home page is: http://aimsciences.org/journals/jimo/contents.jsp
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