Modelling the Free Radical Polymerization of Styrene Using Artificial Neural Networks
Journal Title: BULETINUL INSTITUTULUI POLITEHNIC DIN IASI, CHIMIE SI INGINERIE CHIMICA - Year 2017, Vol 63, Issue 1
Abstract
In this work, the modeling of free radical polymerization of styrene is performed using two approaches: phenomenological and empirical. In the last case, artificial neural networks are used, applying two working strategies. First, a single model with three outputs (monomer conversion, numerical molecular weight and gravimetrical molecular weights) based on time, temperature and initial concentration of the initiator (model inputs) was determined. Due to the unacceptable performance results for the molecular weights, a second strategy is developed, modelling each output, separately, as function of the three inputs. Different artificial neural network topologies were tested, the two hidden layer networks performing the best for all the outputs.
Authors and Affiliations
LUCIANA GHIBA, ELENA-NICULINA DRĂGOI, SILVIA CURTEANU
Keywords
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