Predicting Chain Length Distribution in Step Growth Polymerization by Monte Carlo Method


Abstract

Chain length distribution is an important factor affecting the polymer product properties. A Monte Carlo method was applied to predict the chain length distribution in the step growth polymerization product under isothermal condition. The results for small time of polymerization were compared to the results of kinetics modeling. It was observed that Monte Carlo method can quantitatively well predict the chain length distribution. The Monte Carlo method was then applied to predict the chain length distribution for large times. It is observed that the Monte Carlo method was relatively easy to be applied until relatively high degree of polymerization.

 

Keywords: chain length distribution, kinetic modeling, Monte Carlo method, step growth polymerization

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(10.14266/ajoct19-4)