INVESTIGADORES
BOSCHETTI Carlos Eugenio
artículos
Título:
Multiple Response Optimization of Styrene-Butadiene Rubber Emulsion Polymerization
Autor/es:
GERARDO MARTINEZ DELFA; ALEJANDRO OLIVIERI; CARLOS EUGENIO BOSCHETTI
Revista:
COMPUTERS AND CHEMICAL ENGINEERING
Editorial:
Elsevier Ltd
Referencias:
Lugar: Amsterdam; Año: 2009 vol. 33 p. 850 - 856
ISSN:
0098-1354
Resumen:
A multiple response optimization of styrenebutadiene rubber (SBR) emulsion batch polymerization is proposed. Several properties of latex and rubber were optimized to obtain a particular grade of SBR, namely 1712. Artificial neural networks (ANNs) were employed for the modelling of the following properties: solid content of latex, Mooney viscosity and polydispersity. The training was done by feeding the ANNs with experimental data obtained from a central composite design in which the concentration of some of the polymerization reagents (initiator, activator and chain transfer agent) was varied. The one dimensional desirability functionwas used for optimization, in order to obtain a single set of reaction conditions for the multiple responses. With optimum conditions, polymerization experiments were carried out and good agreementwas found between predicted and experimental values of the required properties.
