Streamwise-Vortex Instability and Transition on the Hyper-2000 Scramjet Forebody

Matsumura, Shin; Schneider, Steven P.; Berry, Scott A.

doi:10.2514/6.2003-3592

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…Leading-edge imperfections and free-stream noise were usually considered as the origin of the upstream disturbances (Ginoux 1971). However, Matsumura, Schneider & Berry (2005) observed regularly spaced streamwise vortices on a scramjet forebody geometry with a high-quality leading edge. Brown et al .…”

Section: Introductionmentioning

confidence: 99%

Occurrence of global instability in hypersonic compression corner flow

2021

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Section: Introductionmentioning

confidence: 99%

Occurrence of global instability in hypersonic compression corner flow

2021

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“…Matsumura et al [18] have shown that TSP can be employed to study the boundary layer instability and transitional characteristics in the presence of roughness elements on the forebody. Goertler and other streamwise vortices can be visualized easily with TSP.…”

Section: Introductionmentioning

confidence: 99%

“…Pressure- and temperature-sensitive paints (PSP and TSP) have been applied in the past to investigate the flow behaviour on the forebody of a scramjet inlet. Matsumura et al [ 18 ] have shown that TSP can be employed to study the boundary layer instability and transitional characteristics in the presence of roughness elements on the forebody. Goertler and other streamwise vortices can be visualized easily with TSP.…”

Section: Introductionmentioning

confidence: 99%

Luminescent Measurement Systems for the Investigation of a Scramjet Inlet-Isolator

Idris

Saad

Zare‐Behtash

et al. 2014

Sensors

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Scramjets have become a main focus of study for many researchers, due to their application as propulsive devices in hypersonic flight. This entails a detailed understanding of the fluid mechanics involved to be able to design and operate these engines with maximum efficiency even at their off-design conditions. It is the objective of the present cold-flow investigation to study and analyse experimentally the mechanics of the fluid structures encountered within a generic scramjet inlet at M = 5. Traditionally, researchers have to rely on stream-thrust analysis, which requires the complex setup of a mass flow meter, a force balance and a heat transducer in order to measure inlet-isolator performance. Alternatively, the pitot rake could be positioned at inlet-isolator exit plane, but this method is intrusive to the flow, and the number of pitot tubes is limited by the model size constraint. Thus, this urgent need for a better flow diagnostics method is addressed in this paper. Pressure-sensitive paint (PSP) has been applied to investigate the flow characteristics on the compression ramp, isolator surface and isolator sidewall. Numerous shock-shock interactions, corner and shoulder separation regions, as well as shock trains were captured by the luminescent system. The performance of the scramjet inlet-isolator has been shown to improve when operated in a modest angle of attack.

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“…4 are obtained by using the algorithm developed by Oliveria et al [35] to solve Eq. (6). For a Mylar layer on Nylon, the optimal standard deviation r r, pix (t) = (r 1 L diffu + r 0 )(k/s z ) in pixels is used, where r 1 = 0.505 and r 0 = 3.56 Â 10 À5 m that are determined by optimization (it will be discussed later).…”

Section: Simulationsmentioning

confidence: 99%

“…There are several temperaturesensitive coating techniques for image-based surface temperature measurements, including temperature sensitive paints (TSP), thermographic phosphors and thermochromic liquid crystals. TSP has been more recently used for quantitative global heat transfer diagnostics in aerodynamic testing particularly in supersonic and hypersonic wind tunnels [1][2][3][4][5][6][7]. TSP is a thin polymer layer doped with certain luminescent molecules whose emission under suitable excitation is sensitive to temperature due to the thermal quenching.…”

Section: Introductionmentioning

confidence: 99%