Parameter estimation strategies in batch emulsion polymerization

A new method for correcting a model which simulates the particle size distribution (PSD) has been proposed for a semi-batch emulsion polymerization process involving the copolymerization reaction between vinyl acetate and butyl acrylate. It uses a least squares estimation implemented on the lines of...

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Bibliographic Details
Published in:Chemical engineering science 2010-09, Vol.65 (17), p.4967-4982
Main Authors: Mallikarjunan, Vishwanath, Pushpavanam, S., David Immanuel, Charles
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Copolymerization
Emulsion polymerization
Exact sciences and technology
Least squares method
Mathematical analysis
Mathematical models
Moving horizon estimation
Organic polymers
Parameter estimation
Particle size distribution
Physicochemistry of polymers
Polymerization
Preparation, kinetics, thermodynamics, mechanism and catalysts
Strategy
Vinyl acetate
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Summary:A new method for correcting a model which simulates the particle size distribution (PSD) has been proposed for a semi-batch emulsion polymerization process involving the copolymerization reaction between vinyl acetate and butyl acrylate. It uses a least squares estimation implemented on the lines of the moving horizon estimation. The work focuses on two important aspects: (i) To see how parameter estimation can be performed without making any assumption on the process or measurement noise. (ii) Using correction factors in the model equations as independent handles for driving the model predictions of the PSD to that of experiments. The approach gives us an insight into the nature of the error present in the model. The results indicate that the parameter estimation can be made effective by using a minimum number of experimental data for estimation purposes.
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2010.05.027