2014/02/01 by Ivan Kryven, Stefano Lazzari, Giuseppe Storti · 1 citation
Environmental Science · Materials Science · Chemistry · Mathematics · #Coagulation and Flocculation Studies #Material Dynamics and Properties #Surfactants and Colloidal Systems #Coalescence (physics) #Fractal dimension #Cluster (spacecraft) #Population #Statistical physics #Population balance equation #Chemical physics #Fractal #Colloid #Colloidal particle #Chemistry #Biological system #Physics #Mathematics #Physical chemistry #Mathematical analysis #Computer science
paper · pdf · doi:10.1002/mats.201300140
openalex publication_date 2014/02/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/02
A complex interplay between aggregation and coalescence 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‐limited‐cluster aggregation (DLCA) and reaction‐limited‐cluster‐aggregation (RLCA) kernels and different coalescence rates. It turns out that in both DLCA and RLCA regimes, a faster coalescence leads to smaller sized and more compact clusters, whereas a slow coalescence promotes the formation of highly reactive fractals, resulting in larger aggregates.