2011
DOI: 10.1002/app.35439
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Optimization of the chain transfer agent incremental addition in SBR emulsion polymerization

Abstract: The incremental addition of chain transfer agent (CTA) in an emulsion styrene-butadiene polymerization reaction was optimized, using a chemometric approach that involves (a) an experimental design, in which the amount of CTA in each addition were the factors; (b) an artificial neural network modeling to obtain responses for each required processability property (i.e., Mooney viscosity and number-and weight-average molecular weight); and (c) a simultaneous desirability response, due to several properties had to… Show more

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Cited by 4 publications
(3 citation statements)
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“…Otherwise, their performance will be limited and their predictions will be different from the expected dynamics [11]. With sufficient training data, ANN can efficiently be used for prediction of steady state properties as reported by Vijayabhaskar et al [12], Assenhaimer et al [13], and Delfa and Boschetti [14]. For emulsion copolymerisation systems.…”
Section: Introductionmentioning
confidence: 99%
“…Otherwise, their performance will be limited and their predictions will be different from the expected dynamics [11]. With sufficient training data, ANN can efficiently be used for prediction of steady state properties as reported by Vijayabhaskar et al [12], Assenhaimer et al [13], and Delfa and Boschetti [14]. For emulsion copolymerisation systems.…”
Section: Introductionmentioning
confidence: 99%
“…Concerning in silico process optimization, some authors employed artificial neural networks in order to reduce complexity of the problem, while others connected first‐principle models with iterative dynamic programming or utilized multivariate statistical process control . Asua suggested utilizing the heuristic knowledge of plant operators to build an optimization system based on fuzzy logic.…”
Section: Introductionmentioning
confidence: 99%
“…e scienti�c workers are looking for a model to simulate the relationship between the polymerized styrene butadiene rubber performance and formula, what can provide reference to adjust formula and predict the product properties [4][5][6][7]. e arti�cial neural network (ANN) is composed of a large number of neurons by communicating through the adjustable metric.…”
Section: Introductionmentioning
confidence: 99%