In the present study a comprehensive mathematical model
is developed to simulate the dynamic
behavior of industrial poly(vinyl chloride) (PVC) batch suspension
polymerization reactors. More
specifically, the model predicts the monomer concentration in the gas,
aqueous, and polymer
phases, the overall monomer conversion, the polymerization rate and
polymer chain structural
characteristics (e.g., number- and weight-average molecular weights,
long-chain branching, short-chain branching, and number of terminal double bonds), the reactor
temperature and pressure,
and the jacket inlet and outlet temperatures over the whole
polymerization cycle. An
experimental reactor is employed to verify the theoretical model
predictions. It is shown that
experimental results on the time evolution of reactor temperature and
pressure, the jacket inlet
and outlet temperature, and the final conversion and molecular weight
averages are in very
good agreement with model predictions. The predictive capabilities
of the model are also
demonstrated through the simulation of experimental data recently
reported in the literature.
Finally some results on the optimization of the PVC production are
presented.