A differentially weighted Monte Carlo method for two-component coagulation

摘要: The direct simulation Monte Carlo (DSMC) method for population balance modeling is capable of retaining the history each particle and thus able to deal with multivariate properties in a simple straightforward manner. As opposed conventional DSMC approaches that track equally weighted particles, differentially extended simulate two-component coagulation processes thereby micromixing components. A new feature this bivariate it possible specify how particles are distributed over compositional axis. This allows us obtain information about those regions size composition distribution functions where non-weighted MC methods place insufficient an inaccurate solution. results lower statistical noise simulating coagulation, which validated by using cases analytical solutions exist (a discrete process sum kernel initial monodisperse populations constant polydisperse populations).