- 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