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Poly (vinyl chloride) – PVC – is the second-largest thermoplastic that is consumed in the world because of its versatility and comprehensive series of application. The development of representative mathematical models is important for the design, analysis and optimization of polymerization processes. The determination of the optimal operational conditions for a polymerization reactor taking into account operational constraints and quality of the polymer produced could be, in principle, achieved by empirical trial-and-error procedure. However, this can be made in a much more efficient, economic, and safe way through the solution of an optimization problem for which it is required a representative mathematical model of the polymerization process. Such model should be reliable and validated over as wide a range of experimental conditions as possible. In this scenario, the objective of the present work was to develop a mathematical model for suspension polymerization of vinyl chloride, with the abovementioned features, from the models previously described in literature. Model parameters for the diffusion-controlled termination and propagation rate constant were estimated. The model predictions were compared with experimental data taken from the literature, covering different kinds of initiators and different operational conditions. It was found that the model was able to suitably represent all the experimental data tested when fitted for each run. When a general correlation for the adjustable parameters was obtained and included in the model, the model predictions reproduced satisfactorily most of the experimental data in both qualitative and quantitative fashions. Possible causes for the discrepancies found in some cases were discussed and recommendations for model improvement were suggested.

Modelagem matemática de processo de produção de PVC por polimerização em suspensão em reator de batelada.