Hypersonic Boundary-Layer Instability on a Highly Cooled Cone. Part II: Schlieren Analysis of Boundary-Layer Disturbances

Paquin, Laura A.; Skinner, Shaun; Laurence, Stuart J.; Hameed, Ahsan; Shekhtman, David; Parziale, Nick J.; Yu, Wesley M.; Austin, Joanna

doi:10.2514/6.2022-0947

Cited by 3 publications

(1 citation statement)

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“…Schlieren and FLDI were utilized to analyse boundary-layer content. The schlieren set-up explained by Paquin et al (2022) was employed here. Illumination was generated by a Cavilux HF laser, and an adjustable iris diaphragm was used to limit the amount of light in an effort to avoid saturation.…”

Section: Diagnostic Techniquesmentioning

confidence: 99%

Time-resolved wave packet development in highly cooled hypersonic boundary layers

Paquin,

Hameed,

Parziale

et al. 2024

J. Fluid Mech.

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Boundary-layer disturbances are analysed on a $5^{\circ }$ half-angle blunted cone in Mach 5, high-enthalpy flow ( $h_0 = 9\ {\rm MJ}\ {\rm kg}^{-1}$ ) with a low wall-to-edge temperature ratio, $T_w/T_e = 0.18$ . Schlieren and focused laser differential interferometry (FLDI) are utilized to assess the structures and frequency content associated with disturbances. Wave packets are identified from bursts of modal content on time-resolved spectrograms. Bandpass filtering, proper orthogonal decomposition (POD) and space–time POD are then applied to the schlieren data. Bandpass filtering suggests the presence of wave packet dispersion and elongation indicative of slow-acoustic-wave synchronization. Modal reconstruction techniques indicate the radiation of content outside the boundary layer and distinct orientation changes within disturbances, potentially the first experimental evidence of the supersonic-mode instability in such a flow field. Cross-bicoherence computations are carried out for discrete time segments of data from both schlieren and FLDI data. They demonstrate that the most dominant nonlinear interactions are the fundamental–first-harmonic and the fundamental–low-frequency interactions.

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Section: Diagnostic Techniquesmentioning

confidence: 99%