Classification and computation of extreme events in turbulent combustion
M Hassanaly, V Raman - Progress in Energy and Combustion Science, 2021 - Elsevier
In the design of practical combustion systems, ensuring safety and reliability is an important
requirement. For instance, reliably avoiding lean blowout, flame flashback or inlet unstart is …
requirement. For instance, reliably avoiding lean blowout, flame flashback or inlet unstart is …
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 computationally-efficient, semi-implicit, iterative method for the time-integration of reacting flows with stiff chemistry
A semi-implicit preconditioned iterative method is proposed for the time-integration of the stiff
chemistry in simulations of unsteady reacting flows, such as turbulent flames, using detailed …
chemistry in simulations of unsteady reacting flows, such as turbulent flames, using detailed …
On the merits of extrapolation-based stiff ODE solvers for combustion CFD
A Imren, DC Haworth - Combustion and Flame, 2016 - Elsevier
In applications including compression-ignition engines, there is a need to accommodate
more realistic chemistry in computational fluid dynamics (CFD) simulations. Here, we …
more realistic chemistry in computational fluid dynamics (CFD) simulations. Here, we …
Effects of combined dimension reduction and tabulation on the simulations of a turbulent premixed flame using a large-eddy simulation/probability density function …
A turbulent lean-premixed propane–air flame stabilised by a triangular cylinder as a flame-
holder is simulated to assess the accuracy and computational efficiency of combined …
holder is simulated to assess the accuracy and computational efficiency of combined …
Reinforcement Learning for Submodel Assignment in Adaptive Modeling of Turbulent Flames
Reinforcement learning (RL), an unsupervised machine learning approach, is innovatively
introduced to turbulent combustion modeling and demonstrated through the automated …
introduced to turbulent combustion modeling and demonstrated through the automated …
A pre-partitioned adaptive chemistry methodology for the efficient implementation of combustion chemistry in particle PDF methods
Abstract Large Eddy Simulation/particle Probability Density Function (LES/PDF) approaches
are now well developed, and can be applied to turbulent combustion problems involving …
are now well developed, and can be applied to turbulent combustion problems involving …
Combustion simulation of propane/oxygen (with nitrogen/argon) mixtures using rate-controlled constrained-equilibrium
The rate-controlled constrained-equilibrium (RCCE), a model order reduction method, has
been further developed to simulate the combustion of propane/oxygen mixture diluted with …
been further developed to simulate the combustion of propane/oxygen mixture diluted with …
[HTML][HTML] Rate-Controlled Constrained Equilibrium (RCCE) simulations of turbulent partially premixed flames (Sandia D/E/F) and comparison with detailed chemistry
S Elbahloul, S Rigopoulos - Combustion and Flame, 2015 - Elsevier
This paper investigates the potential of the RCCE mechanism reduction approach for
modelling turbulent flames within the framework of transported PDF methods. For this …
modelling turbulent flames within the framework of transported PDF methods. For this …
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 …