50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference 2014
DOI: 10.2514/6.2014-3775
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Development of Validation Approaches for Numerical Simulation of Combustion Instability using Flame Imaging

Abstract: Combustion dynamics are controlled by the coupling between heat addition and gas dynamic modes, hence their direct measurement and comparisons with prediction are key to improving computational tools as well as our fundamental understanding of the problem. Whereas gas dynamic modes are relatively easy to measure and compare, measurement and characterization of heat addition are much more difficult due to its complexity and the lack of any direct means of measurement. This paper demonstrates several methods for… Show more

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Cited by 7 publications
(3 citation statements)
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“…As a result, DMD results can prove to be a useful tool in experimental and simulation results' comparison. 68 Here, DMD is used to qualitatively compare the unsteady combustion responses in the experiment and simulations. In the case of the simulation data, the DMD is performed on the combustion heat release.…”
Section: F Dynamic Mode Decomposition (Dmd)mentioning
confidence: 99%
“…As a result, DMD results can prove to be a useful tool in experimental and simulation results' comparison. 68 Here, DMD is used to qualitatively compare the unsteady combustion responses in the experiment and simulations. In the case of the simulation data, the DMD is performed on the combustion heat release.…”
Section: F Dynamic Mode Decomposition (Dmd)mentioning
confidence: 99%
“…Dynamic mode decomposition is described by Schmid [6] and is useful for identifying and sorting coherent §uctuations of data at di¨erent frequencies. Dynamic mode decomposition is often applied to study periodically §uctuating phenomena and has been previously used in combustion instability research in order to detect coherent §uctuations of §ame visualization data [7,8].…”
Section: Optical Datamentioning
confidence: 99%
“…This assumption has been shown to hold well during periods of high amplitude oscillation where acoustic forcing causes axisymmetrical organization of the combustion field. 14) Assuming the emission images are a result of line-of-sight integration, neglecting absorption and diffraction, the transformed images give tomographic reconstruction of the radial distribution of light emission from the flame. Thus the images tell not only the axial but also the radial location of flame more clearly.…”
Section: Phase-averaged Inverse Abel-transformed Flame Shape During mentioning
confidence: 99%