Abstract
A jet from an axisymmetric convergent nozzle is studied at ideal and underexpanded conditions using velocity and acoustic data. Two particle imaging velocimetry setups, a 10 kHz system and a multi-camera configuration, were used to capture near-field velocities while simultaneously sampled with far-field microphones. Proper orthogonal decomposition is performed on the velocity data to extract modes representative of physical processes in the flow. The decomposed velocity fields are then correlated with acoustic data to identify modes related to specific noise spectra. Specifically, four modes are associated with noise production in the sonic plume. Selective flow-field reconstruction is carried out, revealing interesting dynamics associated with loud flow states. In the supersonic case, screech-containing and turbulent mixing modes are isolated. The spatial modes of each data set are then compared for similarities in structures.
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Acknowledgments
The authors would like to acknowledge a Phase II SBIR with Spectral Energies, LLC. and Air Force Research Laboratory Turbine Engine Division under the guidance of Dr. Barry V. Kiel as project monitor, for the continued support and assistance in this research. Additionally, thanks are given to Dr. Jacques Lewalle of Syracuse University for the many enlightening conversations that helped with this work.
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Magstadt, A.S., Berry, M.G., Berger, Z.P. et al. Flow Structures Associated with Turbulent Mixing Noise and Screech Tones in Axisymmetric Jets. Flow Turbulence Combust 98, 725–750 (2017). https://doi.org/10.1007/s10494-016-9784-8
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DOI: https://doi.org/10.1007/s10494-016-9784-8