Population Balance Modeling of Aggregation and Coalescence in Colloidal Systems

A complex interplay between aggregation and coa lescence occurs in many colloidal polymeric systems and determines the morphology of the final clusters of primary particles. To describe this process, a 2D population balance equation (PBE) based on cluster mass and fractal dimension is solved, employing a discretization method based on Gaussian basis functions. To prove the general reliability of the model and to show its potential, parametric simulations are performed employing both diffusion-limitedcluster aggregation (DLCA) and reaction-limitedcluster-aggregation (RLCA) kernels and different coalescence rates. It turns out that in both DLCA and RLCA regimes, a faster coalescence leads to smaller sized andmore compact clusters, whereas a slow coalescence promotes the formation of highly reactive fractals, resulting in larger aggregates.