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Dynamic Monte Carlo Simulation of ATRP with Bifunctional Initiators
Authors:Mamdouh Al‐Harthi  João B P Soares  Leonardo C Simon
Institution:1. Department of Chemical Engineering, University of Waterloo, 200 University Ave. W., Waterloo, Ontario N2L 3G1, Canada;2. Department of Chemical Engineering, University of Waterloo, 200 University Ave. W., Waterloo, Ontario N2L 3G1, CanadaDepartment of Chemical Engineering, University of Waterloo, 200 University Ave. W., Waterloo, Ontario N2L 3G1, Canada.
Abstract:A dynamic Monte Carlo model was developed to simulate ATRP with bifunctional initiators in a batch reactor. Model probabilities were calculated from polymerization kinetic parameters and reactor conditions. The model was used to predict monomer conversion, average molecular weight, polydispersity and the complete CLD as a function of polymerization time. The Monte Carlo model was compared with simulation results from a mathematical model that uses population balances and the method of moments. We also compared polymerizations with monofunctional and bifunctional initiators to illustrate some of the advantages of using bifunctional initiators in ATRP. In addition, we used the model to investigate the effect of the control volume and several polymerization conditions on simulation time, monomer conversion, molecular weight averages and CLD. Our results indicate that computational times can be reduced without sacrificing the quality of the results if we run several simulations with small control volumes rather than one single simulation with a large control volume.
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Keywords:atom‐transfer radical polymerization (ATRP)  living polymerization  polymer reaction engineering  Monte Carlo simulation  chain length distribution  bifunctional initiators
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