Micromixing model performance for nonreacting flows using a consistent Monte Carlo method

In this paper, several micromixing models are applied to the prediction of turbulent nonreacting flows. All micromixing models predict the mean mixture fraction and root mean squared (RMS) mixture fraction well. For higher mixture fraction moments, there is a tendency to overpredict the skewness and kurtosis field. The exception to this is a modification to the Langevin model which produces predictions more consistent with the measured fields. Where intermittency effects do not dominate the flow, the modified Curl model and the limited Langevin model can accurately predict the measured probability density function. Of the micromixing models tested for nonhomogeneous flows, the modified Curl model represents an appropriate balance between predictive capabilities, ease of implementation, and short run times for simulating nonreacting flows.