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Analysis of the hypersonic cross-flow instability with experimental wavenumber distributions

Published online by Cambridge University Press:  28 November 2019

Harrison B. Yates Open the ORCID record for Harrison B. Yates [Opens in a new window] ,
Matthew W. Tufts Open the ORCID record for Matthew W. Tufts [Opens in a new window]  and
Thomas J. Juliano Open the ORCID record for Thomas J. Juliano [Opens in a new window]
Harrison B. Yates
Affiliation:
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN46556-5684, USA
Matthew W. Tufts
Affiliation:
Air Force Research Laboratory, Aerospace Systems Directorate, Wright-Patterson Air Force Base, OH45433-7542, USA
Thomas J. Juliano*
Affiliation:
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN46556-5684, USA
*
†Email address for correspondence: [email protected]
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Abstract

Stationary cross-flow vortex N-factors were calculated over the surface of a yawed circular cone using computationally predicted and experimentally observed wavenumber distributions. Surface heat-flux data were obtained on a $7^{\circ }$ half-angle circular cone to investigate the behaviour of the stationary waves at different angles of attack and Reynolds numbers at Mach 6 under quiet-flow conditions in the Boeing/AFOSR Mach-6 Quiet Tunnel at Purdue University. A wavelet analysis was conducted on the experimental surface heat-flux data to construct a spatial mapping of the local largest amplitude wavenumbers of the stationary cross-flow waves, which were between 40 and 80 per circumference. Significant axial and azimuthal variation was observed. The results from the wavelet analysis were used to inform the stability analysis. The computed integration marching directions demonstrated very good agreement with the experimentally observed paths. N-factors were first calculated by integrating the local amplification rate corresponding to the most amplified experimental wavenumbers. The calculations were repeated based on non-dimensional computationally varying wavenumber ratios, which were dimensionalized by the experimental data. The computed N-factors showed good agreement between the two techniques. N-factors were also computed using the computationally predicted most unstable wavenumbers. The results showed decreased agreement with the other two cases, suggesting that this assumption does not properly model the cross-flow transition process.

JFM classification

Aerodynamics: High-speed flow Boundary Layers: Boundary layer stability Compressible Flows: Compressible boundary layers
Type
JFM Papers
Information
Journal of Fluid Mechanics , Volume 883 , 25 January 2020 , A50
Copyright
© 2019 Cambridge University Press

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