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 …
Species reaction rate modelling based on physics-guided machine learning
R Nakazawa, Y Minamoto, N Inoue, M Tanahashi - Combustion and Flame, 2022 - Elsevier
Deep neural network (DNN) is applied to mean reaction rate modelling. Two DNN
structures, species-dependent (SD) and species-independent (SI), are considered. 1 Due to …
structures, species-dependent (SD) and species-independent (SI), are considered. 1 Due to …
Modern developments in filtered density function
An overview is presented of recent developments in filtered density function (FDF)
methodology as utilized for large eddy simulation (LES) of turbulent flows. The review is …
methodology as utilized for large eddy simulation (LES) of turbulent flows. The review is …
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 …
On the modeling of scalar mixing timescale in filtered density function simulation of turbulent premixed flames
A new closure of the scalar mixing timescale is formulated to enhance the predictability of
large eddy simulation (LES)/filtered density function (FDF) simulations for turbulent premixed …
large eddy simulation (LES)/filtered density function (FDF) simulations for turbulent premixed …
Transported PDF simulation of turbulent CH4/H2 flames under MILD conditions with particle-level sensitivity analysis
Transported probability density function (TPDF) simulation with sensitivity analysis has been
conducted for turbulent non-premixed CH 4/H 2 flames of the jet-into-hot-coflow (JHC) …
conducted for turbulent non-premixed CH 4/H 2 flames of the jet-into-hot-coflow (JHC) …
Dynamic adaptive acceleration of chemical kinetics with consistent error control
The incorporation of detailed chemistry in combustion simulations is challenging due to the
large number of chemical species and the wide range of chemical timescales. The …
large number of chemical species and the wide range of chemical timescales. The …
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 …
Multiple Mapping Conditioning Mixing Time Scales for Turbulent Premixed Flames
N Iaroslavtceva, A Kronenburg, OT Stein - Flow, Turbulence and …, 2023 - Springer
A novel multiple mapping conditioning (MMC) mixing time scale model for turbulent
premixed combustion has been developed. It combines time scales for the flamelet and …
premixed combustion has been developed. It combines time scales for the flamelet and …