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Macroscopic mechanistic modeling and optimization of a self-initiated high-temperature polymerization reactor
Conference proceeding

Macroscopic mechanistic modeling and optimization of a self-initiated high-temperature polymerization reactor

Thomas Rier, Sriraj Srinivasan, Masoud Soroush, George A Kalfas, Michael C Grady, Andrew M Rappe and IEEE
Proceedings of the 2011 American Control Conference, pp 3071-3076
Jun 2011
DOI: https://doi.org/10.1109/ACC.2011.5991445

Abstract

Inductors Kinetic theory Mathematical model Optimization Polymers Predictive models Temperature measurement
This paper presents a macroscopic mechanistic mathematical modeling and optimization study of a batch polymerization reactor in which self-initiated free-radical polymerization of n-butyl acrylate at 140 and 160°C takes place. The model is obtained using a comprehensive free-radical polymerization reaction mechanism. The rate constant of the monomer self-initiation is estimated from monomer conversion measurements. The model is validated using a different set of conversion measurements. The validation results show that the macroscopic mechanistic model is accurate enough for optimization of the self-initiated polymerization reactor to produce high quality acrylic resins. The model is then used to calculate an optimal batch-reactor temperature profile that yields an end-batch polymer product with desired properties (conversion and number-average molecular weight).

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4 citations in Web of Science
7 citations in Scopus

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Industry collaboration
Domestic collaboration
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Automation & Control Systems
Engineering, Electrical & Electronic
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