RANS predictions of turbulent diffusion flames: comparison of a reactor and a flamelet combustion model to the well stirred approach
Artikel i vetenskaplig tidskrift, 2015

The flame stabilisation process in turbulent non-premixed flames is not fully understood and several models have been developed to describe the turbulence-chemistry interaction. This work compares the performance of the multiple Representative Interactive Flamelet (mRIF) model, the Volume Reactor Fraction Model (VRFM), and the Well-Stirred reactor (WS) model in describing such flames. The predicted ignition delay and flame lift-off length of n-heptane sprays are compared to experimental results published within the Engine Combustion Network (ECN). All of the models predict the trend of ignition delay reasonably well. At a low gas pressure (42bar) the ignition delay is overpredicted compared to the experimental data, but the difference between the models is not significant. However, the predicted lift-off lengths differ. At high pressure (87bar) the difference between the models is small. All models slightly underpredict the lift-off length compared to the experimental data. At low gas pressure (42bar) the mRIF model gives the best results. The VRFM and WS models predict excessively short lift-off lengths, but the VRFM model gives better results than the WS model. The flame structures of the models are also compared. The WS model and the VRFM model yield a well defined flame stabilisation point whereas the mRIF model does not. The flame of the mRIF model is more diffuse and the model is not able to predict flame propagation. All models were able to predict the experimental trends in lift-off and ignition delay, but certain differences between them are demonstrated.

flame lift-off






Anne Kösters

Chalmers, Tillämpad mekanik, Förbränning

Anders Karlsson

Chalmers, Tillämpad mekanik, Förbränning

Michael Oevermann

Chalmers, Tillämpad mekanik, Förbränning

G. D'Errico

Politecnico di Milano

T. Lucchini

Politecnico di Milano

Combustion Theory and Modelling

1364-7830 (ISSN)

Vol. 19 81-106