Prediction of the Full Molecular Weight Distribution in RAFT Polymerization using Probability Generating Functions

FORTUNATTI, CECILIA; SARMORIA, CLAUDIA; BRANDOLIN, ADRIANA; ASTEASUAIN, MARIANO

Lappeenranta

Congreso; 23rd European Symposium on Computer Aided Process Engineering ? ESCAPE 23; 2013

Comité organizador ESCAPE 2013

In this work, a model for the RAFT polymerization was developed in order to obtain the full molecular weight distribution (MWD) using probability generating functions (pgf). For comparison purposes, the population balances were solved by direct integration of the resulting equations. Our results show that the pgf technique allows obtaining an accurate solution while drastically reducing the required computational time.