Hybrid modelling and kinetic estimation for polystyrene batch reactor using Artificial Neutral Network (ANN) approach

Asia-Pacific Journal of Chemical Engineering

Volumn 6, Issue 2, 2011, Pages 274-287

  Hosen, Mohammad Anwar ^a   Hussain, Mohd Azlan ^a   Mjalli, Farouq S ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

artificial neural network; kinetic parameters; modelling polymerization reactor; optimization; parameter estimation; polystyrene batch reactor

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEUTRAL NETWORK; BATCH REACTOR SYSTEMS; CONVENTIONAL MODELS; END-USE PROPERTIES; EXPERIMENTAL VALIDATIONS; FREQUENCY FACTORS; GEL EFFECT; HEATING SYSTEM; HIGH SENSITIVITY; HIGHLY NONLINEAR; HYBRID MODELLING; INITIATOR CONCENTRATION; KINETIC MODELS; MECHANISTIC MODELS; MODELLING POLYMERIZATION REACTOR; NEW MODEL; NONLINEAR LEAST-SQUARES OPTIMIZATION; OPERATING VARIABLES; OPERATIONAL VARIABLES; PHYSICOCHEMICAL CHARACTERISTICS; POLYMERIZATION PROCESS; POLYMERIZATION REACTION; POLYMERIZATION REACTORS; PREDICTION CAPABILITY; REACTOR DESIGNS; REACTOR DYNAMICS; REACTOR TEMPERATURES; STYRENE-FREE RADICALS; TEMPERATURE PROFILES;

ACTIVATION ENERGY; BATCH REACTORS; FREE RADICAL POLYMERIZATION; FREE RADICALS; KINETIC PARAMETERS; NEURAL NETWORKS; OPTIMIZATION; POLYMERS; POLYSTYRENES; REACTION KINETICS; STYRENE; TEMPERATURE CONTROL;

PARAMETER ESTIMATION;

EID: 79953700570     PISSN: 19322135     EISSN: 19322143     Source Type: Journal    
DOI: 10.1002/apj.435     Document Type: Article

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