2019
DOI: 10.1017/jfm.2019.692
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Direct simulation Monte Carlo computations and experiments on leading-edge separation in rarefied hypersonic flow

Abstract: A comprehensive study of the fundamental characteristics of leading-edge separation in rarefied hypersonic flows is undertaken and its salient features are elucidated. Separation of a boundary layer undergoing strong expansion is typical in many practical hypersonic applications such as base flows of re-entry vehicles and flows over deflected control surfaces. Boundary layer growth under such conditions is influenced by effects of rarefaction and thermal non-equilibrium, thereby differing significantly from th… Show more

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Cited by 12 publications
(3 citation statements)
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“…(2017) and Prakash et al. (2019) concern hypersonic separation for which the isentropic process at reattachment is not valid.…”
Section: Introductionmentioning
confidence: 99%
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“…(2017) and Prakash et al. (2019) concern hypersonic separation for which the isentropic process at reattachment is not valid.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, advancements in experimental diagnostics and computations have significantly resolved the flow over the 'tick' configuration. Strong to moderate wall cooling effects, sharp and blunt leading-edge configurations, eddy structures within the primary recirculation flow and slightly downstream displacement of the separation location from the leading edge can be found in the works of Khraibut et al (2017) and Prakash et al (2019). Particularly, the works by Khraibut et al (2017) and Prakash et al (2019) concern hypersonic separation for which the isentropic process at reattachment is not valid.…”
Section: Introductionmentioning
confidence: 99%
“…When the flow is rarefied enough, the Monte Carlo method is very efficiency to describe the velocity distribution function, which makes stochastic particle methods suitable for simulating rarefied flows, and the most famous method of them is the Direct simulation Monte Carlo (DSMC) method [14]. It has been developed to maturity and used to simulate complex flows like thermochemical non-equilibrium flows in flow mechanism studies [15,16] and engineering applications [17,18]. However, the efficiency of stochastic particle methods reduces rapidly when the flow becomes nearcontinuum or low-speed.…”
Section: Introductionmentioning
confidence: 99%