Identification of High-Frequency Transverse Acoustic Modes in Multi-Nozzle Can Combustors

Conference · Mon Jan 11 04:00:00 EST 2021 · Volume 4B: Combustion, Fuels, and Emissions

DOI:https://doi.org/10.1115/gt2020-16130· OSTI ID:2407073

Kim, J. ^[1]; Gillman, W. ^[2]; Wu, D. ^[2]; Emerson, B. ^[2]; Acharya, V. ^[2]; Mckinney, R. ^[2]; Lieuwen, T. ^[2]; Isono, M. ^[3]; Saitoh, T. ^[3]

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1. Georgia Institute of Technology, Atlanta, GA; Georgia Institute of Technology
2. Georgia Institute of Technology, Atlanta, GA
3. Mitsubishi Heavy Industries, Ltd, Hyogo, Japan

Abstract High frequency thermoacoustic instabilities are problematic for lean-premixed gas turbines. Identifying which acoustic mode is being excited is important, in that it provides insight into potential mitigation measures and mechanical stress/life. However, the frequency spacing between modes becomes quite close for high frequency instabilities in a can combustor. This makes it difficult to distinguish between the modes (e.g., the first transverse mode vs. a higher order axial/mixed mode) based upon frequency calculations alone, which inevitably have uncertainties in boundary conditions, temperature profiles, and combustion response. This paper presents a methodology to simultaneously identify the acoustic mode shapes in the axial and azimuthal directions from acoustic pressure measurements. Multiple high temperature pressure transducers, located at distinct axial and azimuthal positions, are flush mounted in the combustor wall. The measured pressure oscillations from each sensor are then used to reconstruct the pressure distributions by using a least squares method in conjunction with a solution of a three dimensional wave equation. In order to validate the methodology, finite element method (FEM) calculations with estimated post-flame temperature is used to provide the candidate frequencies and corresponding mode shapes. The results demonstrate the reconstructed mode shapes and standing/spinning character of transverse waves, as well as the associated frequencies, both of which are consistent with the FEM predictions. Nodal line location was also extracted from the experimental data during the instabilities in the pressure data.

• Research Organization: Georgia Tech Research Corporation
• Sponsoring Organization: USDOE
• DOE Contract Number: FE0031285
• OSTI ID: 2407073
• Report Number(s): DOE-GTRC-0008
• Conference Information: Journal Name: Volume 4B: Combustion, Fuels, and Emissions
• Country of Publication: United States
• Language: English