Process Model for Styrene and n‑Butyl Acrylate Emulsion Copolymerization in Smart-Scale Tubular Reactor
Real-time optimization-based control methodologies in emulsion (co)polymerization allow achievement of a significant intensification of the process and increase of the product quality. This paper describes the development of the fast and computationally simple process model of continuous styrene an...
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Published in | Industrial & engineering chemistry research Vol. 55; no. 2; pp. 472 - 484 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
American Chemical Society
20.01.2016
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Online Access | Get full text |
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Summary: | Real-time optimization-based control methodologies in emulsion (co)polymerization allow achievement of a significant intensification of the process and increase of the product quality. This paper describes the development of the fast and computationally simple process model of continuous styrene and n-butyl acrylate emulsion copolymerization for use in nonlinear model predictive control (NMPC) of a smart-scale tubular reactor. The model predictions agree well with experimental data for monomer conversion, copolymer composition, temperature profile, average particle size, and number-average molecular weight. To account for the slower reaction rate at the beginning of the reaction, the model incorporates a thermodynamic description of comonomer partitioning between particle, water, and droplet phases based on Morton equations. For the purpose of the process model, a simple empirical function representing the solution of Morton partitioning was implemented. The number concentration of particles was estimated from measured monomer conversion profiles, as the predictions by first-principle nucleation models generally provide values substantially different from experiments. After the model incorporation into a framework for online state estimation and control, it will be used for open- and closed-loop control of the smart-scale tubular reactor. |
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ISSN: | 0888-5885 1520-5045 |
DOI: | 10.1021/acs.iecr.5b02909 |