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contributor authorLuis Tay-Wo-Chong
contributor authorSebastian Bomberg
contributor authorAhtsham Ulhaq
contributor authorThomas Komarek
contributor authorWolfgang Polifke
date accessioned2017-05-09T00:50:33Z
date available2017-05-09T00:50:33Z
date copyrightFebruary, 2012
date issued2012
identifier issn1528-8919
identifier otherJETPEZ-27183#021502_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148912
description abstractThe flame transfer function (FTF) of a premixed swirl burner was identified from a time series generated with computational fluid dynamics simulations of compressible, turbulent, reacting flow at nonadiabatic 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleComparative Validation Study on Identification of Premixed Flame Transfer Function
typeJournal Paper
journal volume134
journal issue2
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4004183
journal fristpage21502
identifier eissn0742-4795
keywordsTurbulence
keywordsTransfer functions
keywordsFlames
keywordsStability
keywordsComputational fluid dynamics
keywordsCombustion AND Network models
treeJournal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 002
contenttypeFulltext


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