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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Tay-Wo Bomberg, Sebastian Ulhaq, Ahtsham Komarek, Thomas Polifke, Wolfgang |
| Copyright Year | 2011 |
| Abstract | The flame transfer function (FTF) of a premixed swirl burner was identified from time series generated with CFD simulation of compressible, turbulent, reacting flow at non-adiabatic conditions. Results were validated against experimental data. For large eddy simulation (LES), the Dynamically Thickened Flame combustion model with one step kinetics was used. For unsteady simulation in a Reynolds-averaged Navier-Stokes framework (URANS), the Turbulent Flame Closure model was employed. The FTF identified from LES shows quantitative agreement with experiment for amplitude and phase, especially for frequencies below 200 Hz. At higher frequencies, the gain of the FTF is underpredicted. URANS results show good qualitative agreement, capturing the main features of the flame response. However, the maximum amplitude and the phase lag of the FTF are underpredicted. Using a low-order network model of the test rig, the impact of the discrepancies in predicted FTFs on frequencies and growth rates of the lowest order eigenmodes were assessed. Small differences in predicted FTFs were found to have a significant impact on stability limits. Stability behavior in agreement with experimental data was achieved only with the LES-based flame transfer function. |
| Sponsorship | International Gas Turbine Institute |
| Starting Page | 1109 |
| Ending Page | 1118 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780791854624 |
| DOI | 10.1115/GT2011-46342 |
| Volume Number | Volume 2: Combustion, Fuels and Emissions, Parts A and B |
| Conference Proceedings | ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition |
| Language | English |
| Publisher Date | 2011-06-06 |
| Publisher Place | Vancouver, British Columbia, Canada |
| Access Restriction | Subscribed |
| Subject Keyword | Flames Turbulence Stability Large eddy simulation Simulation Computational fluid dynamics Transfer functions Time series Network models Combustion Flow (dynamics) |
| Content Type | Text |
| Resource Type | Article |
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