2010
DOI: 10.1016/j.ces.2009.09.036
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Emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent.

Abstract: This paper deals with the development of a mathematical model for emulsion copolymerization of styrene and butyl acrylate carried out in the presence of n-dodecyl mercaptan as chain transfer agent (CTA). The model consisted of a system of differential algebraic equations in which the population balances is based on a new approach that reduces significantly the number of equations involved and the corresponding computational time. Most of the unknown kinetic and thermodynamic parameters of the model were estima… Show more

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Cited by 35 publications
(36 citation statements)
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“…An initiator is fed to the reactor by means of a separate inlet stream. The mathematical model of the considered emulsion copolymerization reaction was derived, identified and validated in one of our previous studies [7]. This section presents the model in compact form where we show its crucial features, i.e.…”
Section: Process Modelmentioning
confidence: 99%
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“…An initiator is fed to the reactor by means of a separate inlet stream. The mathematical model of the considered emulsion copolymerization reaction was derived, identified and validated in one of our previous studies [7]. This section presents the model in compact form where we show its crucial features, i.e.…”
Section: Process Modelmentioning
confidence: 99%
“…It is set equal to 1000 in order to balance the difference in magnitude between the first two terms in the objective function and the last one. The last set of inequalities expresses operational conditions of the real plant which was used for validation of the process model and for experimental control of the process in our previous studies [7,8]. Here Q f,max denotes the maximal flowrate achievable with the present plant instrumentation.…”
Section: Goal Of Process Operationmentioning
confidence: 99%
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“…This model consisted of a system of differential algebraic equations (DAEs), derived from mass, population and moment equations (Benyahia et al (2010)). In this paper, we implement the sequential orthogonalization method developed by Yao et al (2003).…”
Section: Introductionmentioning
confidence: 99%