Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames

Purpose The purpose of this paper is to study the soot formation and evolution by using newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method. Design/methodology/approach particles are used in MC framework tracked approach. A detailed model based on LPT-WFMC method ethylene laminar premixed flames. Findings validated both experimental numerical results direct simulation (DSMC) Multi-Monte (MMC) methods. Compared DSMC MMC methods, stochastic error analysis shows new could further extend size distributions (PSDs) improve accuracy for predicting PSDs at larger regime. Originality/value conventional schemes, weight adjustable adopting different functions. As a result, number each interval be also adjustable. regime can minimized increasing interval.