OP-II-3

PP-I-26OPTIMUM KINETICS FOR POLYSTYRENE BATCH REACTOR BYNEURAL NETWORKS APPROACH.Hosen M.A., Hussain M.A., Mjalli F.S.Chemical Engineering Department, University of Malaya, Malaysia,E-mail: Anwar.buet97@gmail.comThe process of polymerization is subjected to very complicated reactions withnonlinear behaviour. Due to the non-linear time varying of the process, thecharacteristics of the polymerization reactions are often partially known and theconventional modelling approach based on the mass and energy balance equationsis quite limited. This paper presents a neural network approach that generates kineticparameters of polymerization. These parameters are thus used in the conventionalmechanistic model to describe mass and heat transfer phenomena. The neuralnetwork model has been adjusted on the basis of experimental data carried out on abatch reactor. The experimental validation revealed that the new model has a highprediction capabilities compared to the reported models. With proper scaling of thedeveloped model, it can be used for further system analysis and control, which will bethe topic for the next phase of this research.Key words: Polystyrene batch reactor; Modeling polymerization reactor; Freeradical; Kinetic Parameters; Neural network.267