An experimental study on on-line optimizing control of free radical bulk polymerization in a rheometer–reactor assembly under conditions of power failure
作者： Jitendra S. Sangwai , Shrikant A. Bhat , Deoki N. Saraf , Santosh K. Gupta
DOI: 10.1016/J.CES.2007.02.035
关键词: Simulation 、 Methyl methacrylate 、 Water cooling 、 Radical polymerization 、 Autoacceleration 、 Thermodynamics 、 Polymerization 、 Rheometer 、 Drop (liquid) 、 Chemistry 、 Bulk polymerization
摘要: Abstract An experimental study on the on-line optimizing control of a sample free radical bulk polymerization system, namely, methyl methacrylate (MMA), is carried out in rheometer–reactor assembly. Two initiator loadings and three cases involving external disturbances (power failure) are studied. The assumed to be two kinds: one that leads sudden increase temperature reaction mass (cooling water pump over planned history, T ( t ) , leading drop (heater failure). viscosity, η histories used describe ‘state’ (conversion, x m weight-average molecular weight, M w polymerizing mass. first under an off-line computed optimal op obtained using adapted jumping gene version elitist genetic algorithm (GA-II-aJG). A disturbance introduced after start continues for pre-specified duration. new reop calculated (in about 3 min real time) GA-II-aJG. This implemented as soon rectified. Experimental values also measured. These observed good agreement with model predictions all cases. It found information viscosity can effectively control. help ‘save’ batch (give product having desired average weights) optimally, short time possible. effect re-tuning parameters data temperature, exp demonstrated.
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