Hostname: page-component-7b7567c8c-7pwfn Total loading time: 0 Render date: 2026-11-15T14:56:01.572Z Has data issue: false hasContentIssue false

Direct simulation Monte Carlo computations and experiments on leading-edge separation in rarefied hypersonic flow

Published online by Cambridge University Press:  02 October 2019

R. Prakash*
Affiliation:
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
L. M. Le Page
Affiliation:
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
L. P. McQuellin
Affiliation:
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
S. L. Gai
Affiliation:
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
S. O’Byrne
Affiliation:
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
*
†Email address for correspondence: ram.prakash@student.adfa.edu.au

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 the conventional no-slip Blasius type. A leading-edge separation configuration presents a fundamental case for studying the characteristics of such a flow separation but with minimal influence from a pre-existing boundary layer. In this work, direct simulation Monte Carlo computations have been performed to investigate flow separation and reattachment in a low-density hypersonic flow over such a configuration. Distinct features of leading-edge flow, limited boundary layer growth, separation, shear layer, flow structure in the recirculation region and reattachment are all explained in detail. The fully numerical shear layer profile after separation is compared against a semi-theoretical profile, which is obtained using the numerical separation profile as the initial condition on existing theoretical concepts of shear layer analysis based on continuum flow separation. Experimental studies have been carried out to determine the surface heat flux using thin-film gauges and computations showed good agreement with the experimental data. Flow visualisation experiments using the non-intrusive planar laser-induced fluorescence technique have been performed to image the fluorescence of nitric oxide, from which velocity and rotational temperature distributions of the separated flow region are determined.

Information

Type
JFM Papers
Copyright
© 2019 Cambridge University Press 
Figure 0

Table 1.Reservoir and free-stream conditions for the experiments.

Figure 1

Figure 1.Schematic of the hypersonic leading-edge separation.

Figure 2

Figure 2.Model details: (a) experimental and (b) computational models.

Figure 3

Figure 3.The $Kn_{loc}$ distribution over the domain for the blunt leading-edge model.

Figure 4

Figure 4.PPC distribution over the domain for the blunt leading-edge model.

Figure 5

Figure 5.Local mean collision time distribution over the domain for the blunt leading-edge model.

Figure 6

Figure 6.Numerical schlieren visualisations showing flow structure in the vicinity of (a) sharp and (b) blunt leading edges. Spatial coordinates in the streamwise ($x$) and normal ($y$) directions are normalised with respect to the streamwise distance to the corner from the leading edge ($x_{c}$).

Figure 7

Figure 7.Normalised pressure distribution along the wall.

Figure 8

Figure 8.Normalised heat-flux distribution along the surface.

Figure 9

Figure 9.Average number of incident particles hitting the surface.

Figure 10

Figure 10.Temperature jump at the surface in the vicinity of the leading edge for (a) sharp and (b) blunt cases. Temperatures are normalised with respect to the wall temperature ($T_{w}=300$  K). The top scale shows the streamwise distance normalised by free-stream MFP.

Figure 11

Figure 11.Mass fraction of O atoms close to the sharp leading edge.

Figure 12

Figure 12.Surface characteristics of (a) skin friction coefficient and (b) gas velocity. Gas velocity at the surface is normalised with respect to the free-stream velocity ($u_{\infty }$).

Figure 13

Figure 13.Gas velocity at the surface close to the leading edge for (a) sharp and (b) blunt cases.

Figure 14

Figure 14.Streamlines superimposed on translational temperature contours for (a) sharp and (b) blunt cases. Separation and reattachment shocks are traced as dashed lines for better visualisation. A zoomed view of the secondary vortex is also shown.

Figure 15

Figure 15.Vorticity distribution for (a) sharp and (b) blunt cases.

Figure 16

Figure 16.Velocity profiles at (a) beginning of interaction, (b) separation, (c) corner and (d) reattachment.

Figure 17

Figure 17.Pressure profiles at (a) beginning of interaction, (b) separation, (c) corner and (d) reattachment.

Figure 18

Figure 18.Temperature profiles at (a) beginning of interaction, (b) separation, (c) corner and (d) reattachment.

Figure 19

Table 2.Boundary layer edge properties at separation for the blunt leading-edge case.

Figure 20

Figure 19.Shear function profiles at various $S^{\ast }$ locations for the non-similar leading-edge separation profile: (a) sharp and (b) blunt.

Figure 21

Figure 20.Enthalpy function profiles at various $S^{\ast }$ locations for the non-similar leading-edge separation profile: (a) sharp and (b) blunt.

Figure 22

Figure 21.Semi-theoretical dividing streamline velocity variation for non-similar leading-edge separation profiles.

Figure 23

Figure 22.Comparison between computational and semi-theoretical dividing streamline velocity variations.

Figure 24

Figure 23.Schematic of the T-ADFA free-piston shock tunnel and details of the assembly.

Figure 25

Figure 24.Nozzle reservoir pressure variation (error bars show the standard deviations based on the number of runs).

Figure 26

Figure 25.Measured signals at two streamwise sensor locations: (a) at $x/x_{c}=1.34$ and (b) at $x/x_{c}=2.36$.

Figure 27

Figure 26.Experimental comparison of normalised surface heat flux.

Figure 28

Figure 27.Comparison of flow-field features: top, PLIF; bottom, DSMC.

Figure 29

Figure 28.Comparison of flow-field profiles: (a) rotational temperature and (b) velocity. (Standard deviations are shown for PLIF measurements.)

Figure 30

Figure 29.Comparison of dividing streamline velocities from PLIF and computations.