Two new models to calculate the species instantaneous and filtered reaction rates for multi-step, multi-species chemical kinetics mechanisms are developed based on the artificial neural networks (ANN) approach. The proposed methodologies depend on training the ANNs off-line on a thermo-chemical database representative of the actual composition and turbulence level of interest. The thermo-chemical database is constructed by stand-alone linear eddy mixing (LEM) model simulations under both premixed and non-premixed conditions, where the unsteady interaction of turbulence with chemical kinetics is included as a part of the training database. In this approach, the information regarding the actual geometry of interest is not needed within the LE...
In reacting flows, detailed chemistry computations are usually avoided precomputing the thermochemic...
International audienceA chemistry reduction approach based on machine learning is proposed and appli...
Abstract: The attempt to replace traditional chemical kinetics model calculations with new ones base...
In the present study syngas-air diffusion flames are simulated using LES with artificial neural netw...
This work proposes a chemical mechanism tabulation method using artificial neural networks (ANNs) fo...
Combustion plays an important role on the energy production network throughout the entire world, fro...
This work presents a new approach for premixed turbulent combustion modeling based on convolutional ...
Large Eddy Simulations (LES) of a non-premixed, planar, syngas/air ame is performed with special em...
Global warming caused by the use of fossil fuels is a common concern of the world today. It is of pr...
A new machine learning methodology is proposed for speeding up thermochemistry computations in simul...
This paper discusses an approach to incorporate Articial Neural Network (ANN) based kinetics modelin...
The objective of this work is the formulation, development and implementation of Artificial Neural N...
Turbulent reactive flow simulation often requires accounting for turbulence-chemistry interactions a...
Turbulent reactive flow simulation often requires accounting for turbulence-chemistry interactions a...
The numerical simulation and analysis of chemically reacting flows often requires the evaluation of ...
In reacting flows, detailed chemistry computations are usually avoided precomputing the thermochemic...
International audienceA chemistry reduction approach based on machine learning is proposed and appli...
Abstract: The attempt to replace traditional chemical kinetics model calculations with new ones base...
In the present study syngas-air diffusion flames are simulated using LES with artificial neural netw...
This work proposes a chemical mechanism tabulation method using artificial neural networks (ANNs) fo...
Combustion plays an important role on the energy production network throughout the entire world, fro...
This work presents a new approach for premixed turbulent combustion modeling based on convolutional ...
Large Eddy Simulations (LES) of a non-premixed, planar, syngas/air ame is performed with special em...
Global warming caused by the use of fossil fuels is a common concern of the world today. It is of pr...
A new machine learning methodology is proposed for speeding up thermochemistry computations in simul...
This paper discusses an approach to incorporate Articial Neural Network (ANN) based kinetics modelin...
The objective of this work is the formulation, development and implementation of Artificial Neural N...
Turbulent reactive flow simulation often requires accounting for turbulence-chemistry interactions a...
Turbulent reactive flow simulation often requires accounting for turbulence-chemistry interactions a...
The numerical simulation and analysis of chemically reacting flows often requires the evaluation of ...
In reacting flows, detailed chemistry computations are usually avoided precomputing the thermochemic...
International audienceA chemistry reduction approach based on machine learning is proposed and appli...
Abstract: The attempt to replace traditional chemical kinetics model calculations with new ones base...