Effect of impurities on continuous solution methyl methacrylate polymerization reactors—II. Closed-loop real-time control

Chien, D. C. H.; Penlidis, Alexander

doi:10.1016/0009-2509(94)80070-7

Cited by 14 publications

(4 citation statements)

References 18 publications

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“…Typical examples of such impurities are oxygen and other commonly used monomer inhibitors with a considerable water solubility at the conditions of the polymerization (e.g., hydroquinones). The effects of impurities on polymerization rate and quality are poorly understood, yet they are one of the most important sources of variation in an industrial setting (Huo et al, 1988;Penlidis et al, 1988;Chien and Penlidis, 1994).…”

Section: Mathematical Model Developmentmentioning

confidence: 99%

Mathematical Modeling of Emulsion Copolymerization of Acrylonitrile/Butadiene

Dubé¹,

Penlidis²,

Mutha³

et al. 1996

Ind. Eng. Chem. Res.

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A mathematical model was developed to simulate the emulsion copolymerization of acrylonitrile/butadiene, otherwise known as nitrile rubber. Our goal was to develop a practical tool to predict polymer production rate and product quality on an industrial scale. Model predictions include the polymerization rate, the polymer composition, the number- and weight-average molecular weights, branching averages, and the number and average size of the polymer latex particles. The prediction of conversion was compared to a limited amount of industrial pilot-plant data and was found to be adequate. The model is currently being applied in two ways. The first application involves the testing of nonlinear model-based control schemes for an industrial nitrile rubber reactor. The second application involves using the model as a storehouse of prior knowledge for the implementation of a Bayesian sequential design of emulsion terpolymerization experiments as part of a larger, systematic study of multicomponent polymerization kinetics.

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Section: Mathematical Model Developmentmentioning

confidence: 99%

Mathematical Modeling of Emulsion Copolymerization of Acrylonitrile/Butadiene

Dubé¹,

Penlidis²,

Mutha³

et al. 1996

Ind. Eng. Chem. Res.

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“…Chien and Penlidis209, 210 used on‐line densimetry to obtain conversion data for the homopolymerization of MMA in an open‐loop process for the identification of impurity effects. They eventually used the technique in a closed‐loop control mode where initiator flow rate was manipulated to bring conversion to the set‐point.…”

Section: On‐line Sensors For Polymer Property Trajectory Monitoringmentioning

confidence: 99%

A Critical Overview of Sensors for Monitoring Polymerizations

Fonseca

Dubé

Penlidis

2009

Macro Reaction Engineering

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The available on‐line and in‐line sensor technologies developed for polymerization reactors from 1990 until today are discussed and critically reviewed. About 600 references are included, which evidence the growth in sensor technology in the last two decades. Sensors for operational parameters in polymer reactors (i.e. temperature, pressure, level and flow) as well as sensors for polymer property monitoring (i.e. calorimetry, chromatography and spectroscopy, among others) are included. Complementary topics such as state estimation, multivariate statistical methods, fault diagnosis techniques and optimal sensor selection and location are briefly covered.

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“…(17)–(19) and solve the resulting two point boundary value (TPBV) problem with initial values for the state equations and the final values for the costate equations. Thereupon we can obtain the solution to the optimal control problem 16…”

Section: Optimal Controlmentioning

confidence: 99%

“…In a recent study, Elicabe and Meria15 proposed a cascade model‐reference adaptive algorithm to control a continuous polymerization reactor, which is operated under forced oscillations of its feeds. Also, conversion control in the presence of reactive impurities in continuous solution methylmethacrylate polymerization reactor was explored by Chien and Penlidis16 using initiator flow rate as the manipulated variable. More recently, Scali et al17 simulated the regulation control of the product quality of free radical polymerization of methylmethacrylate in a continuous stirred tank reactor by using state estimators (Extended Kalman Filters).…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of the optimal trajectory of initiator concentration in a batch MMA polymerization reactor

Jeong

Rhee

2000

J. Appl. Polym. Sci.

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This article presents a method to determine the trajectory of initiator concentration that will produce polymer with desired number‐ and weight‐average molecular weights at a prespecified level of monomer conversion. The optimal control theory is applied to the mathematical model for a batch methymethacrylate (MMA) solution polymerization reactor system. By imposing the constraint that initiator concentration should decrease within the range of self‐consumption by the initiation reaction, one can obtain the initiator concentration trajectory that can be tracked by feeding the initiator alone. A control scheme is constructed with a cascade proportional‐integral‐derivative (PID) control algorithm for temperature control and a micropump is installed to manipulate the initiator feed rate. The experimental results show satisfactory tracking control performance despite the nonlinear features of the polymerization reactor system. Also, the monomer conversion and the average molecular weights measured are found to be in fairly good agreement with those of model prediction, respectively. In conclusion, the polymer having desired molecular weight distribution can be produced by operating the batch reactor with the initiator supplement policy calculated from the model. © 2000 John Wiley & Sons, Inc. J Appl Polym Sci 78: 1256–1266, 2000

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Effect of impurities on continuous solution methyl methacrylate polymerization reactors—II. Closed-loop real-time control

Cited by 14 publications

References 18 publications

Mathematical Modeling of Emulsion Copolymerization of Acrylonitrile/Butadiene

Mathematical Modeling of Emulsion Copolymerization of Acrylonitrile/Butadiene

A Critical Overview of Sensors for Monitoring Polymerizations

Experimental validation of the optimal trajectory of initiator concentration in a batch MMA polymerization reactor

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