- Author
-
Sen, B. A.
|
Hawkes, E. R.
|
Menon, S.
- Title
- Large Eddy Simulation of Extinction and Reignition With Artificial Neural Networks Based Chemical Kinetics.
- Coporate
- Georgia Institute of Technology, Atlanta
New South Wales Univ., NSW 2052, Australia
- Journal
-
Combustion and Flame,
Vol. 157,
No. 3,
566-578,
March 2010
- Keywords
-
neural networks
|
chemical kinetics
|
extinction
|
ignition
|
nonpremixed flames
|
equations
|
formulation
|
mixture fraction
|
statistics
|
syngas
|
flame structures
|
scalar dissipation
- Identifiers
- Large-Eddy Simulation (LES); Probability Density Functions (PDFs); Direct Numerical Simulation (DNS); artificial neural networks (ANN) approach; non-premixed, temporally evolving, syngas/air flame; linear eddy mixing (LEM) model based LES (LEMLES); grid spacing used in the LEMLES; comparison of speed-up obtained by different models; extinction and reignition predictions; scalar field conditional statistics; syngas flame structure; scalar dissipation rate statistics