Artificial Neural Networks Associated To Calorimetry To Preview Polymer Composition Of High Solid Content Emulsion Copolymerizations

Artificial Neural Networks (ANN) have demonstrated to be powerful tools to model non linear systems, such as high solid content latexes produced by emulsion polymerisation. This system has a great importance in the polymeric industry, essentially for environmental reasons, since they usually have water as continuous phase. In order to propose technical and economically feasible alternatives to control polymeric structure, this work is aimed to develop a new methodology based on artificial neural networks associated with calorimetry to preview polymeric structure. The designed artificial neural networks presented excellent results when tested with process condition variations as well as when they were submitted to test concerning to the variation on the proportion of monomers in the latex formulation. Hence, it was possible to conclude that artificial neural networks, associated to calorimetry, lead to an efficient method to preview the polymer composition in emulsion copolymerizations. © 2005 IEEE.422372242Asua, J.M., Urretabizkaia, A., Arzamendi, G., Unzué, M.J., (1994) J. Polym. Sci.: Part A: Polym. Chem., 32, p. 1779El-Aasser, M.S., Leiza, J.R., Sudol, E.D., (1997) J. Appl. Polym. Sci., 64, p. 1797Lovell, P.A., El-Aasser, M.S., (1999) Emulsion Polymerization and Emulsion Polymers, , Ed. John Wiley and Sons, New YorkMcKenna, T.F., Othman, S., Fevotte, G., Santos, A.M., Hamnmouri, H., (1998) DECHEMA Monographien, 134, p. 567. , Wiley-VCH, BerlinZeaiter, J., Gomes, V.G., Romagnoli, J.A., Barton, G.W., Inferential conversion monitoring and control in emulsion polymerisation through calorimetric measurements (2002) Chemical Engineering Journal, 89, p. 37Vieira, R.A.M., Embiruçu, M., Sayer, C., Pinto, J.C., Lima, E.L., Control strategies for complex chemical processes. Applications in polymerization processes (2003) Computers and Chemical Engineering, 27, p. 1307Vicente, M., Leiza, J.R., Asua, J.M., Maximizing production and polymer quality (MWD and composition) in emulsion polymerization reactors with limited capacity of heat removal (2003) Chemical Engineering Science, 58, p. 215Zorzetto, L.F.M., Maciel Filho, R., Wolf-Maciel, M.R., Process modelling development through artificial neural networks and hybrid models (2000) Computers and Chemical Engineering, 24, p. 1355Fernandes, F.A.N., Lona, L.M.F., Development of polymer resins using neural networks (2002) Polímeros: Ciência e Tecnologia, 12 (3), p. 164Zhang, Z., Friedrich, K., Artificial neural networks applied to polymer composites: A review (2003) Composites Science and Technology., 63, p. 1Haykin, S., (1999) Neural Networks - A Comprehensivefoundation -2nd. Ed., , New York: Macmillan College Publishing CompanyRamirez-Beltran, N.D., Jackson, H., Application of neural networks to chemical process control (1999) Computers & Industrial Engineering, 37, p. 387Yu, D.L., Gomm, J.B., Implementation of neural network predictive control to a multivariable chemical reactor (2003) Control Engineering Practice, 11 (11), p. 1315Laugier, S., Richon, D., Use of artificial neural networks for calculating derived thermodynamic quantities from volumetric property data (2003) Fluid Phase Equilibria, 210, p. 247Boillereaux, L.A., Cadet, C.B., Le Bail, A., Thermal properties estimation during thawing via real-time neural network learning (2003) Journal OfFood Engineering, 57, p. 17Svozil, D., Kvasničva, V., Pospíchal, J., (1997) Chemometrics and Intelligent Laboratory Systems, 39, p. 43Dubé, M.A., Penlidis, A., A systematic approach to the study of multicomponent polymerization kinetics - The butyl acrylate /methyl methacrylate/vinyl acetate example: 1. Bulk Polymerization (1995) Polymer, 36, p. 587Févotte, G., Barudio, J., Guillot, J., An adaptive inferential measurement strategy for on-line monitoring of conversion in polymerization processes (1996) Thermochimica Acta, 289, p. 223Garson, G.D., Interpreting neural network connection weights (1991) Artificial Inteligence Expert, 6, p. 47Othman, N., Santos, A.M., Févotte, G., McKenna, T.F., Evaluation of emulsion polymerisation kinetics using non-linear state estimator (2000) Macromol. Symp., 150, pp. 109-11