2019
DOI: 10.1017/aer.2019.138
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Effect of microramps on flare-induced shock – boundary-layer interaction

Abstract: The ability of microramps to control shock - boundary layer interaction at the vicinity of an axisymmetric compression corner was investigated computationally in a Mach 4 flow. A cylinder/flare model with a flare angle of 25° was chosen for this study. Height (h) of the microramp device was 22% of the undisturbed boundary layer thickness (δ) obtained at the compression corner location. A single array of these microramps with an inter-device spacing of 7.5h was placed at three different streamwise locations viz… Show more

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Cited by 13 publications
(5 citation statements)
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“…Thus, the separated flow was inherently three-dimensional with a flow structure that was quite similar to the one proposed by Lighthill. 87 These features are typical in many supersonic separated flows 14,63,88–92 and were first noticed and reported by Ginoux. 88,89 Several researchers have attributed these secondary effects to the presence of Gortler-like vortices.…”
Section: Resultsmentioning
confidence: 70%
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“…Thus, the separated flow was inherently three-dimensional with a flow structure that was quite similar to the one proposed by Lighthill. 87 These features are typical in many supersonic separated flows 14,63,88–92 and were first noticed and reported by Ginoux. 88,89 Several researchers have attributed these secondary effects to the presence of Gortler-like vortices.…”
Section: Resultsmentioning
confidence: 70%
“…Ability of the present computational methodology in predicting the intricate flowfield surrounding the MVGs and the flow over axisymmetric compression corners has been previously demonstrated. 63 However, additional validations were performed recently by simulating a wind tunnel experiment performed by Kuehn 12 on a cone–cylinder–flare model. Out of the many different cases analyzed by Kuehn, the one that was closest to the present study was selected (details in Table 1) for validating the computational scheme.…”
Section: Computational Methodologymentioning
confidence: 99%
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