Optimal control of a batch crystallization process

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...

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Main Authors: Rehbock, Volker, Livk, Iztok
Format: Journal Article
Published: American Institute of Mathematical Sciences 2007
Online Access:http://aimsciences.org/journals/pdfs.jsp?paperID=2613&mode=full
http://hdl.handle.net/20.500.11937/35372
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author Rehbock, Volker
Livk, Iztok
author_facet Rehbock, Volker
Livk, Iztok
author_sort Rehbock, Volker
building Curtin Institutional Repository
collection Online Access
description 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.
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format Journal Article
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institution Curtin University Malaysia
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publishDate 2007
publisher American Institute of Mathematical Sciences
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spelling curtin-20.500.11937-353722017-01-30T13:49:20Z Optimal control of a batch crystallization process Rehbock, Volker Livk, Iztok 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. 2007 Journal Article http://hdl.handle.net/20.500.11937/35372 http://aimsciences.org/journals/pdfs.jsp?paperID=2613&mode=full American Institute of Mathematical Sciences restricted
spellingShingle Rehbock, Volker
Livk, Iztok
Optimal control of a batch crystallization process
title Optimal control of a batch crystallization process
title_full Optimal control of a batch crystallization process
title_fullStr Optimal control of a batch crystallization process
title_full_unstemmed Optimal control of a batch crystallization process
title_short Optimal control of a batch crystallization process
title_sort optimal control of a batch crystallization process
url http://aimsciences.org/journals/pdfs.jsp?paperID=2613&mode=full
http://hdl.handle.net/20.500.11937/35372