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Simulation of the Ignition Process in an Annular Multiple-Injector Combustor and Comparison With Experiments

[+] Author Affiliations
Maxime Philip, Matthieu Boileau, Ronan Vicquelin, Thomas Schmitt, Daniel Durox, Jean-François Bourgouin, Sébastien Candel

Ecole Centrale Paris, Châtenay-Malabry, France

Paper No. GT2014-27080, pp. V04BT04A053; 12 pages
  • ASME Turbo Expo 2014: Turbine Technical Conference and Exposition
  • Volume 4B: Combustion, Fuels and Emissions
  • Düsseldorf, Germany, June 16–20, 2014
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4569-1
  • Copyright © 2014 by ASME


Ignition is a problem of fundamental interest with critical practical implications. While there are many studies of ignition of single injector configurations, the transient ignition of a full annular combustor has not been extensively investigated, mainly because of the added geometrical complexity. The present investigation combines simulations and experiments on a complete annular combustor. The setup, developed at EM2C laboratory, features sixteen swirl injectors and quartz walls allowing direct visualization of the flame. High speed imaging is used to record the space time flame structure and study the dynamics of the light-round process. On the numerical side, massively parallel computations are carried out in the LES framework using the Filtered Tabulated (F-TACLES) flamelet model. Comparisons are carried out at different instants during the light-round process between experimental data and results of calculations. It is found that the simulation results are in remarkable agreement with experiments provided that the thermal effects at the walls are considered. Further post-processings indicate that the flame burning velocity and flame front geometry are close to those found in the experiment. This analysis confirms that the LES framework used for these calculations and the selected combustion model are adequate for such calculations but that further work is needed to confirm that ignition prediction can be used reliably over a range of operating parameters.

Copyright © 2014 by ASME



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