In the application of CFD to turbulent reacting flows, one of the main limitations to predictive accuracy is the chemistry model. Using a full or skeletal kinetics model may provide good predictive ability, however, at considerable computational cost. Adding the ability to account for the interaction between turbulence and chemistry improves the overall fidelity of a simulation but adds to this cost. An alternative is the use of simple models, such as the Magnussen model, which has negligible computational overhead, but lacks general predictive ability except for cases that can be tuned to the flow being solved. In this paper, a technique will be described that allows the tuning of the Magnussen model for an arbitrary fuel and flow geometry...
The intrinsic low-dimensional manifold (ILDM) method is a technique for automatic reduction of a det...
AbstractA priori Direct Numerical Simulation (DNS) assessment of mean reaction rate closures for rea...
A Large Eddy Simulation (LES) model capable of accurately representing finite-rate chemistry effects...
In the application of CFD to turbulent reacting flows, one of the main limitations to predictive acc...
Computational fluid dynamics (CFD) is an important tool for designing and optimizing combustion syst...
Despite the onset of peta-scale computing, simulations of reacting flows with detailed chemistry is ...
The present work focuses on the numerical simulation of Moderate or Intense Low oxygen Dilution comb...
In combustion, chemically stored energy is converted into thermal energy in a combustor and this the...
The present work focuses on the numerical simulation ofModerate or Intense Low oxygen Dilution combu...
Increasing demands on environmentally friendly energy conversion indicate that pollutants need to be...
Understanding the effects of alternative chemical kinetic mechanisms in turbulent reactive flows is ...
The capability of empirical combustion models to predict the mean reaction rate for supersonic mixin...
Detailed chemical kinetics is important for high-fidelity reacting flow simulations. The major chall...
Large-scale high-fidelity numerical simulation with detailed chemistry is an important approach to t...
Virtually all of the energy derived from the consumption of combustibles occurs in systems which uti...
The intrinsic low-dimensional manifold (ILDM) method is a technique for automatic reduction of a det...
AbstractA priori Direct Numerical Simulation (DNS) assessment of mean reaction rate closures for rea...
A Large Eddy Simulation (LES) model capable of accurately representing finite-rate chemistry effects...
In the application of CFD to turbulent reacting flows, one of the main limitations to predictive acc...
Computational fluid dynamics (CFD) is an important tool for designing and optimizing combustion syst...
Despite the onset of peta-scale computing, simulations of reacting flows with detailed chemistry is ...
The present work focuses on the numerical simulation of Moderate or Intense Low oxygen Dilution comb...
In combustion, chemically stored energy is converted into thermal energy in a combustor and this the...
The present work focuses on the numerical simulation ofModerate or Intense Low oxygen Dilution combu...
Increasing demands on environmentally friendly energy conversion indicate that pollutants need to be...
Understanding the effects of alternative chemical kinetic mechanisms in turbulent reactive flows is ...
The capability of empirical combustion models to predict the mean reaction rate for supersonic mixin...
Detailed chemical kinetics is important for high-fidelity reacting flow simulations. The major chall...
Large-scale high-fidelity numerical simulation with detailed chemistry is an important approach to t...
Virtually all of the energy derived from the consumption of combustibles occurs in systems which uti...
The intrinsic low-dimensional manifold (ILDM) method is a technique for automatic reduction of a det...
AbstractA priori Direct Numerical Simulation (DNS) assessment of mean reaction rate closures for rea...
A Large Eddy Simulation (LES) model capable of accurately representing finite-rate chemistry effects...