Review of Lagrangian stochastic models for turbulent combustion
Predictive simulation of the combustion process in engine is crucial to understand the
complex underlying physicochemical processes, improve engine performance, and reduce …
complex underlying physicochemical processes, improve engine performance, and reduce …
A pairwise mixing model with kernel constraint and its appraisal in transported PDF simulations of ethylene flames
Modeling micro-mixing remains a primary challenge for the transported probability density
function (TPDF) method. In this study, the pairwise mixing with kernel constraint (KerM) …
function (TPDF) method. In this study, the pairwise mixing with kernel constraint (KerM) …
Micromixing models for PDF simulations of turbulent premixed flames
Transported probability density function (TPDF) methods are attractive for modeling
turbulent flames as the highly nonlinear chemical reactions appear in closed form. The …
turbulent flames as the highly nonlinear chemical reactions appear in closed form. The …
Filtered density function simulations of a near-limit turbulent lean premixed flame
The predictive numerical simulation of near-limit turbulent premixed combustion, in which
the turbulent intensity is high and the fuel/air mixture is near the flammability limit, remains …
the turbulent intensity is high and the fuel/air mixture is near the flammability limit, remains …
A particle mass-based implementation for mixing models with differential diffusion
Conclusions A mass-based implementation has been proposed for mixing models IEM-DD
and MC-DD in the context of pair-wise mixing formulation, which allows for different mixing …
and MC-DD in the context of pair-wise mixing formulation, which allows for different mixing …
[HTML][HTML] A DNS evaluation of three MMC-like mixing models for transported PDF modelling of turbulent nonpremixed flames
Transported probability density function (TPDF) methods are suitable for modelling turbulent
reactive flows. One of the main challenges is to accurately model the molecular mixing …
reactive flows. One of the main challenges is to accurately model the molecular mixing …
Investigation of reaction-induced subgrid scalar mixing in LES/FDF simulations of turbulent premixed flames
Large eddy simulation (LES) combined with filtered density function (FDF), ie, LES/FDF, is
an effective approach for high-fidelity simulation of turbulent flames. In this work, LES/FDF …
an effective approach for high-fidelity simulation of turbulent flames. In this work, LES/FDF …
A mixing timescale model for differential mixing in transported probability density function simulations of turbulent non-premixed flames
The modeling of scalar mixing timescale remains a primary challenge in the transported
probability density function (TPDF) method. The variation of scalar mixing timescale among …
probability density function (TPDF) method. The variation of scalar mixing timescale among …
A multiple mapping conditioning mixing model with a mixture-fraction like reference variable. Part 1: Model derivation and ideal flow test cases
Probability density function (PDF) methods have significant advantages in modeling
turbulent combustion, in particular because the highly non-linear chemical source terms …
turbulent combustion, in particular because the highly non-linear chemical source terms …
Modelling of a turbulent premixed flame series using a new MMC-LES model with a shadow position reference variable
A new multiple mapping conditioning model with a shadow position reference variable for
localising mixing is implemented in a large eddy simulation solver and validated against …
localising mixing is implemented in a large eddy simulation solver and validated against …