Optimal control of a batch crystallization process

Volker Rehbock; Iztok Livk

doi:10.3934/jimo.2007.3.585

Article Contents

2007, Volume 3, Issue 3: 585-596. Doi: 10.3934/jimo.2007.3.585

This issue Previous Article Convergence properties of a non-interior-point smoothing algorithm for the P*NCP Next Article Evolution of operating parameters for multiple vendors multiple buyers vendor managed inventory system with outsourcing

Optimal control of a batch crystallization process

Volker Rehbock^1, and
Iztok Livk^2,

1.
Western Australian Centre of Excellence in Industrial Optimisation, Department of Mathematics and Statistics, Curtin University of Technology, Bentley, WA, 6102
2.
Parker Cooperative Research Centre for Integrated Hydrometallurgy Solutions, CSIRO Division of Minerals, PO Box 90, Bentley, WA 6982

Received: October 31, 2005

Revised: April 30, 2007

Published: June 2007

Abstract Related Papers Cited by

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.

Keywords:

Mathematics Subject Classification: Primary: 49N90; Secondary: 62P30.

Citation:

Article Metrics

HTML views() PDF downloads(215) Cited by(0)

Optimal control of a batch crystallization process

Abstract

Access History

Article Metrics

Access History

Other Articles By Authors

Catalog

Optimal control of a batch crystallization process

Abstract

Access History

SHARE

Article Metrics

Access History

Other Articles By Authors

Catalog

Export File

Citation

Format

Content