Solutions for a turbulent jet diffusion flame of ethanol with NOx formation using a reduced kinetic mechanism obtained by applying ANNs

The processes of conversion of energy by combustion tend to increasingly consider the economic and environmental constraints, making it necessary to understand the interaction between combustion and turbulence. This work aims to develop a new mechanism for a jet diffusion flame of ethanol considering NOx formation. As a result, a reduced mechanism of 43 steps was achieved for combustion of ethanol by applying an Artificial Neural Network (ANN) for chemical kinetics. The results obtained agree satisfactorily with data found in the literature.