Advancing the Conditional Source-Term Estimation (CSE) Framework for Turbulent Combustion Modeling and Application to Alternative Aviation Fuels
Amir Mahdipour successfully defended his PhD thesis. Congratulations Amir!
Amir Mahdipour successfully defended his PhD thesis. Congratulations Amir!
Dr. Devaud gives an invited talk at the University of Oxford.
J-L. Consalvi, F. Nmira and C. Devaud
Jake Chateauneuf successfully defended his MASc thesis. Congratulations Jake!
The modelling of soot formation is investigated for two turbulent flames, at atmospheric and 3 atm pressure conditions. For the first time, a semi-empirical soot formulation that accounts for soot inception, coagulation, surface growth, and oxidation processes is coupled with the turbulent combustion model, Conditional Source-term Estimation (CSE) using Reynolds-Averaged Navier–Stokes equations.
Singly Conditional Source-term Estimation (CSE) is extended to Doubly Conditional Source-term Estimation (DCSE) to simulate three turbulent ethanol spray flames (EtF1, EtF3 and EtF4) for the first time. Reynolds-Averaged Navier Stokes equations are solved with a two-way coupling Eulerian-Lagrangian method to account for the gas-spray interactions.
Cecile Devaud, W. Kendal Bushe, Josette R. Bellan
Turbulent dilute acetone spray flames are simulated in an Eulerian–Lagrangian framework using Conditional Source-term Estimation (CSE) for closure of the mean reaction rate.