Polystyrene Particle Size Distribution with the Use of Modified Time Increment Monte Carlo Model

Abstract

In the present study, a dynamic Monte Carlo (MC) model is applied for predicting the dynamic evolution of monomer Droplet Size Distribution (DSD) and polymer Particle Size Distribution (PSD) within the presence of an inventive time step in the MC algorithm for both non-reactive (liquid–liquid dispersion) and reactive systems. Besides, a combining approach as a second inventive strategy is introduced for implementing the MC simulation with a high number of droplets. An optimization process generated the dimensionless Model Parameters (MPs) and is applied to the MC simulation. The MC algorithm is validated with the experimental data from the literature. The novel time step can predict the dynamic evolution of monomer droplets and polymer particles in the reactive systems and diminish the time of the simulation. The combining approach is an excellent strategy for mixing the same or different number of droplets for decreasing time consumption of MC simulation. Extraordinary findings depicted the model's effectiveness and the validity of the time step and combining strategies.