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Hypersonic High-Enthalpy Flow in a Leading-edge Separation N. R. Deepak 1 S. Gai 1 J. N. Moss 2 S. O’ Byrne 1 1 School of Engineering & IT University of New South Wales Australian Defence Force Academy Canberra, Australia 2 NASA Langley Research Center Hampton, USA (University of New South Wales, Australian Defence Force Academy) 1 / 32

Hypersonic high enthalpy flow in a leading-edge separation

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  • Hypersonic High-Enthalpy Flow in a Leading-edge Separation

    N. R. Deepak1 S. Gai1 J. N. Moss2 S. O Byrne1

    1School of Engineering & ITUniversity of New South Wales

    Australian Defence Force AcademyCanberra, Australia

    2NASA Langley Research CenterHampton, USA

    (University of New South Wales, Australian Defence Force Academy) 1 / 32

  • Introduction Motivation

    Motivation

    High Enthalpy Separated Flows

    Understanding of aerothermodynamics - critical towards successful performance

    Typical flow separation configurations - compression corner, flat-plate with steps,blunt bodies

    These exhibit pre-existing boundary layer at separation - increasing complexity of theinteraction

    Enthalpy range: 3.1 MJ/kg to 6.9 MJ/kg

    Geometric Configuration

    Capable of producing separation at leading-edge without pre-existing boundary layer

    Originally proposed by Chapman et al. (1958) for high Re and low M flows

    Considered here for laminar high enthalpy hypersonic conditions

    Approach of the Problem

    Time-accurate Navier-Stokes (N-S)

    Direct Simulation Monte Carlo (DSMC)

    (University of New South Wales, Australian Defence Force Academy) 2 / 32

  • Introduction Flow Features-Leading edge separation

    Leading Edge Separation

    Expansionfan

    Separation (S)

    Reattachmentshock

    Flow

    AD

    Expansion fan

    Flow separation

    Recirculating region

    Reattachment

    Re-compression shock wave

    Characterised by a strong expansion atthe leading edge

    Flow separation very close to the leadingedge forming a recirculation regionbetween A, B and C

    Reattachment on the compression surface

    (University of New South Wales, Australian Defence Force Academy) 3 / 32

  • Introduction Scope

    Scope of Research

    Understanding of aerothermodynamics

    For a unique flow configuration without any pre-existing boundary layer underhypersonic conditions

    Using state-of-the art numerical techniques

    To aid in designing the experiments based on numerical results

    Testing of Chapmans isentropic recompression theory to estimate the base pressure

    Background

    Chapmans work for high Reynolds and low Mach numbers supersonic flows

    No earlier reported work on the present configuration at hypersonic conditions

    (University of New South Wales, Australian Defence Force Academy) 4 / 32

  • Computational Approach Navier-Stokes & Direct Simulation Monte Carlo

    Numerical codes & Models

    Navier-Stokes (N-S) Solver - Eilmer-3 (Jacobs and Gollan, 2010)

    In-house solver, time-dependent, viscous, chemically reactive

    Finite-volume, cell-centred, 3D/axisymmetric discretisation

    Second order spatial accuracy: modified van Albada limiter and MUSCL

    Mass, momentum & energy flux across the cells: AUSMDV algorithm

    Time Integration: Explicit time integration

    Direct Simulation Monte Carlo (DSMC) - DS2V (Bird, 2006)

    Uses probabilistic (Monte Carlo) simulation to solve the Boltzmann equation

    Models fluid flow using simulated molecules which represent a large number of realmolecules

    (University of New South Wales, Australian Defence Force Academy) 5 / 32

  • Computational Approach Geometric Configurations

    Leading edge separation

    Geometry

    x

    y

    S-1S-2

    Le

    s

    s/Le=0

    s/Le=1

    s

    s/Le=3.26

    A

    B

    C

    -1-2

    Configuration Details

    Surface Length, mm Angle

    A B (S-1; expansion) 19.730 1=30.5

    B C (S-2; compression) 44.776 2=23.7

    Horizontal x distance from A C = 58 mmTotal wetted surface (s) length A 7 B 7 C = 64.506 mm

    (University of New South Wales, Australian Defence Force Academy) 6 / 32

  • Computational Approach Geometric Configurations

    Leading edge Flow conditions

    T-ADFA freestream conditions

    Flow Parameter Condition E Condition ATest gas Air AirRe [1/m] 1.34 106 2.43 105

    M 9.66 7.25u [m/s] 2503 3730T [K ] 165 593p [Pa] 290 377

    [kg/m3] 0.006 0.002

    1.4 1.4

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  • Computational Approach Modelling Details

    Modelling Details: Navier-Stokes

    Perfect Gas

    Air as calorically perfect & single species assumption

    Viscosity and thermal conductivity modelled using Sutherland formulation

    Real Gas: Chemical & Thermal nonequilibrium

    Air as thermally perfect gas mixture (5 neutral species assumption)

    Viscosity & thermal conductivity: Curve fits adopted from NASA CEA-Program(Extends beyond: 20000 K)

    Transport property mixing: Gupta-Yos mixing rules

    Chemical & thermal nonequilibrium: Guptas & Parks Two-temperature model

    Translational-vibrational energy exchange: Landau - Teller equation

    Vibrational relaxation time: Millikan & White empirical correlation

    Wall Conditions

    Wall temperature (Tw = 300 K); No-slip; Non-catalytic

    (University of New South Wales, Australian Defence Force Academy) 8 / 32

  • Computational Approach Modelling Details

    Modelling Details: Navier-Stokes

    Perfect Gas

    Air as calorically perfect & single species assumption

    Viscosity and thermal conductivity modelled using Sutherland formulation

    Real Gas: Chemical & Thermal nonequilibrium

    Air as thermally perfect gas mixture (5 neutral species assumption)

    Viscosity & thermal conductivity: Curve fits adopted from NASA CEA-Program(Extends beyond: 20000 K)

    Transport property mixing: Gupta-Yos mixing rules

    Chemical & thermal nonequilibrium: Guptas & Parks Two-temperature model

    Translational-vibrational energy exchange: Landau - Teller equation

    Vibrational relaxation time: Millikan & White empirical correlation

    Wall Conditions

    Wall temperature (Tw = 300 K); No-slip; Non-catalytic

    (University of New South Wales, Australian Defence Force Academy) 8 / 32

  • Computational Approach Modelling Details

    Modelling Details: Navier-Stokes

    Perfect Gas

    Air as calorically perfect & single species assumption

    Viscosity and thermal conductivity modelled using Sutherland formulation

    Real Gas: Chemical & Thermal nonequilibrium

    Air as thermally perfect gas mixture (5 neutral species assumption)

    Viscosity & thermal conductivity: Curve fits adopted from NASA CEA-Program(Extends beyond: 20000 K)

    Transport property mixing: Gupta-Yos mixing rules

    Chemical & thermal nonequilibrium: Guptas & Parks Two-temperature model

    Translational-vibrational energy exchange: Landau - Teller equation

    Vibrational relaxation time: Millikan & White empirical correlation

    Wall Conditions

    Wall temperature (Tw = 300 K); No-slip; Non-catalytic

    (University of New South Wales, Australian Defence Force Academy) 8 / 32

  • Computational Approach Modelling Details

    Modelling Details: Direct simulation Monte Carlo

    Real Gas: Chemical & Thermal nonequilibrium

    Reacting air gas mixture (3 and 5 neutral species assumption)

    Variable hard sphere (VHS) collision model

    23 Chemical reactions are used for modelling chemistry

    Energy exchange between translation, rotational, and vibrational internal energymodes

    Wall Conditions

    Wall temperature (Tw = 300 K)

    Non-catalytic

    Surface accommodation=1.0

    Wall slip

    (University of New South Wales, Australian Defence Force Academy) 9 / 32

  • Computational Approach Modelling Details

    Modelling Details: Direct simulation Monte Carlo

    Real Gas: Chemical & Thermal nonequilibrium

    Reacting air gas mixture (3 and 5 neutral species assumption)

    Variable hard sphere (VHS) collision model

    23 Chemical reactions are used for modelling chemistry

    Energy exchange between translation, rotational, and vibrational internal energymodes

    Wall Conditions

    Wall temperature (Tw = 300 K)

    Non-catalytic

    Surface accommodation=1.0

    Wall slip

    (University of New South Wales, Australian Defence Force Academy) 9 / 32

  • Computational Approach Modelling Details

    Modelling Details: Direct simulation Monte Carlo

    Real Gas: Chemical & Thermal nonequilibrium

    Reacting air gas mixture (3 and 5 neutral species assumption)

    Variable hard sphere (VHS) collision model

    23 Chemical reactions are used for modelling chemistry

    Energy exchange between translation, rotational, and vibrational internal energymodes

    Wall Conditions

    Wall temperature (Tw = 300 K)

    Non-catalytic

    Surface accommodation=1.0

    Wall slip

    (University of New South Wales, Australian Defence Force Academy) 9 / 32

  • Computational Approach Grid Independence Study

    Grid independence study-Leading edge separation

    Grid i j wGrid-1 90 20 100 mGrid-2 185 40 50 mGrid-3 315 64 25 mGrid-4 466 90 20 mGrid-5 571 108 20 mGrid-6 703 108 20 mGrid-7 894 108 20 m

    (University of New South Wales, Australian Defence Force Academy) 10 / 32

  • Computational Approach Grid Independence Study

    Grid sensitivity, Condition E, Ho = 3.1 MJ/kg

    1.0E+04

    1.0E+05

    1.0E+06

    0 0.5 1 1.5 2 2.5 3 3.5

    q w,W

    /m

    2

    s/Le

    Grid-1 (90X20)Grid-2 (185X40)Grid-3 (315X64)Grid-4 (440X90)Grid-5 (571X108)Grid-6 (703X108)

    Perfect gas analysis

    Heat flux, skin friction &pressure criteria

    0 s/Le 0.15: not muchvariation

    Downstream: significantvariation at peak location

    Separation, reattachment &peak heat flux location: gridsensitive

    Grid-5 (G-5)-chosen grid; total nodes: 61668; w = 20m

    Separated flow establishment time: 1000 s

    (University of New South Wales, Australian Defence Force Academy) 11 / 32

  • Computational Approach Grid Independence Study

    Grid sensitivity, Condition A, Ho = 6.9 MJ/kg

    1.0E+04

    1.0E+05

    1.0E+06

    0 0.5 1 1.5 2 2.5 3 3.5

    q w,W

    /m

    2

    s/Le

    Grid-1 (90X20)Grid-2 (185X40)Grid-3 (315X64)Grid-4 (440X90)Grid-5 (571X108)Grid-6 (703X108)Grid-7 (894X108)

    Perfect gas analysis

    Heat flux, skin friction &pressure criteria

    0 s/Le 0.5: not muchvariation

    Downstream: Variation at peaklocation

    Separation, reattachment &peak heat flux location: gridsensitive

    Grid-5 (G-5)-chosen grid; total nodes: 61668; w = 20m

    Separated flow establishment time: 650 s

    (University of New South Wales, Australian Defence Force Academy) 12 / 32

  • Results Results: Condition E

    Pressure, Skin-friction & heat flux: Condition E Ho=3.1 MJ/kg

    0.0

    0.1

    1.0

    10.0

    100.0

    0 0.5 1 1.5 2 2.5 3 3.5

    p/p

    s/Le

    1.0

    1.5

    2.0

    0.6 0.8 1 1.2

    Navier-StokesDSMC

    -80.0

    0.0

    80.0

    160.0

    240.0

    320.0

    400.0

    480.0

    0 0.5 1 1.5 2 2.5 3 3.5

    ,N/

    m2

    s/Le

    -10

    -5

    0

    5

    0.6 0.8 1 1.2

    Navier-StokesDSMC

    1.0E+04

    1.0E+05

    1.0E+06

    0 0.5 1 1.5 2 2.5 3

    q w,W

    /m

    2

    s/Le

    3E+03

    8E+03

    1E+04

    2E+04

    0.6 0.8 1 1.2

    Navier-StokesDSMC

    Strong expansion at leading edge;followed by flow separation

    Separation: N-S (s/Le = 0.145);DSMC (s/Le = 0.08)

    Reattachment: N-S (s/Le = 2.42);DSMC (s/Le = 2.46)

    (University of New South Wales, Australian Defence Force Academy) 13 / 32

  • Results Results: Condition E

    Chapmans interpretation

    Expansionfan

    Separation (S)

    Recirculation region

    Reattachmentshock

    Flow (M>>1)

    LsReattachment (R)

    Expansionfan

    Separation (S)

    Recirculation region

    Reattachmentshock

    Flow (M>>1)

    Reattachment (R)

    Ls 0

    (a) Compression corner (b) Leading edge separation

    Leading edge separation is a limiting case of separation at a compression corner

    Separation distance (Ls) from the leading edge goes to zero

    (University of New South Wales, Australian Defence Force Academy) 14 / 32

  • Results Results: Condition A

    Pressure, Skin-friction & heat flux: Condition A Ho=6.9 MJ/kg

    0.00

    0.01

    0.10

    1.00

    10.00

    0 0.5 1 1.5 2 2.5 3 3.5

    p/p

    s/Le

    0.0

    0.4

    0.8

    0.2 0.4 0.6 0.8 1 1.2

    Navier-StokesDSMC -40.0

    0.0

    40.0

    80.0

    120.0

    160.0

    200.0

    240.0

    280.0

    320.0

    0 0.5 1 1.5 2 2.5 3 3.5

    ,N/

    m2

    s/Le

    -20

    -10

    0

    10

    20

    0.6 0.8 1 1.2

    Navier-StokesDSMC

    1.0E+04

    1.0E+05

    1.0E+06

    0 0.5 1 1.5 2 2.5 3 3.5

    q w,W

    /m

    2

    s/Le

    1.0E+04

    6.0E+04

    1.1E+05

    0.6 0.8 1 1.2

    Navier-StokesDSMC

    Between 0.05 s/Le 0.25 in N-S,rate of pressure reduction decreaseswith near constant pressure:Indicative of boundary layer growth

    N-S: Separation at s/Le = 0.56;Reattachment at s/Le = 1.87

    DSMC: No indication ofseparation/reattachment

    (University of New South Wales, Australian Defence Force Academy) 15 / 32

  • Results Results: Further remarks

    Differences between N-S and DSMC

    Significant differences between N-S and DSMC for condition A

    DSMC predicts almost no separation (except for an infinitesimally small region at the corner)

    Flow over most of the expansion surface is in slip flow regime (Moss et al., 2012)

    slip velocity = uw (s) = w

    (

    u

    y

    )

    w

    =w

    ww (s)

    slip temperature = Tg Tw = (T )w =2

    + 1(w cp)

    1w k

    (

    dT

    dy

    )

    w

    Rarefaction parameter(V ) =M

    Res

    C ;Res =

    us

    ;C =

    w w

    ee

    Criterion for slip flow (Talbot, 1963) for Condition A

    Location Rarefaction parameter, V Rarefaction parameter, VN-S DSMC

    s/Le = 0.25 0.143 0.332s/Le = 0.5 0.1009 0.223s/Le = 1.0 0.0715 0.166

    (University of New South Wales, Australian Defence Force Academy) 16 / 32

  • Results Knudsen number

    Local Knudsen (Kn) number - Condition A

    (a) DSMC (b) Navier-Stokes

    The local Knudsen number Kn is defined by Bird (see Moss et al. (2012)) in terms oflocal density gradients in the flow:

    Kn =

    {

    (

    x

    )2+

    (

    y

    )2}1/2

    local

    (University of New South Wales, Australian Defence Force Academy) 17 / 32

  • Results Knudsen number

    Local Knudsen (Kn) number - Condition E

    (c) DSMC (d) Navier-Stokes

    The local Knudsen number Kn is defined by Bird (see Moss et al. (2012)) in terms oflocal density gradients in the flow:

    Kn =

    {

    (

    x

    )2+

    (

    y

    )2}1/2

    local

    (University of New South Wales, Australian Defence Force Academy) 18 / 32

  • Results Density comparison

    Density comparison: Double cone vs Leading edge

    0.1

    1.0

    10.0

    100.0

    0 0.5 1

    /

    s/L

    Leading-edgeDouble-cone (N. R. Deepak, 2010)

    The effect of expansion on wall density in comparison to the effect of compression

    Density difference - a factor of 100 between expansion and compression on theforebody

    (University of New South Wales, Australian Defence Force Academy) 19 / 32

  • Results Comparison with Champans Theory

    Chapmans isentropic re-compression theory

    Chapman et al. (1958) proposed a separated flow model and developed a theory toestimate the base pressure (Pd)

    Experimental evidence at high supersonic Mach numbers suggests that the modelworks remarkably well even for pre-existing boundary layer in estimating basepressure

    In hypersonic high temperature flows, the efficacy of Chapmans isentropicrecompression model is not rigorously verified

    Here, the same leading edge separation model used by Chapman is considered

    (University of New South Wales, Australian Defence Force Academy) 20 / 32

  • Results Comparison with Champans Theory

    Comparison with Chapmans isentropic re-compression theory

    From Navier-Stokes Simulations

    Average pressure in the recirculation region or dead air region (Pd)

    Pressure (P ) and Mach number (M) downstream of reattachment

    Mach number at the edge of the mixing layer (Me)

    M2 = (1 u2d )M2e and u

    d = ud/ue

    pdp

    =

    [

    1 + ( 12

    )M2

    1 + ( 12

    )M2/(1 u2d )

    ]/(1)

    Flow pd/p pd/p

    pd/p ReLe =

    uLe

    condition N-S simulations DSMC simulations Theory -

    E 0.088 0.09 0.330 32.88 103

    A 0.08 - 0.345 8.14 103

    Simple isentropic flow assumption does not appear to hold in hypersonic flow

    Streamlines in the shear layer do not recompress isentropically at reattachment, ratherextend over a finite region

    Steep isentropic recompression assumption in theory seems unrealistic in low Re flows withthick shear layers

    (University of New South Wales, Australian Defence Force Academy) 21 / 32

  • Results Dividing streamline profile

    Dividing streamline profile (ud vs S)

    S = S/Sw

    S =

    x

    0

    Cseueey2c dx

    Sw =

    s

    0

    CSw eueey2c ds

    S is the reduced streamwise distance measured from separation to reattachmentalong the free shear layer

    CS =

    eeand CSW =

    w wee

    Edge conditions (e, ue , e) in evaluating S and Cs are obtained on the streamlinerunning between 2 and 3

    Edge conditions (e, ue , e) in evaluating Sw and CSw are obtained on thestreamline running between 1 and 2

    (University of New South Wales, Australian Defence Force Academy) 22 / 32

  • Results Dividing streamline profile

    Dividing streamline (ud vs S)

    0.00

    0.10

    0.20

    0.30

    0.40

    0.50

    0.60

    0.70

    0.80

    103 102 101 100 101 102 103

    u d

    S

    S = 0: separationR: reattachment

    R R R

    ud = 0.587 (Chapman, 1958)Denison & Baum (1963)N-S (Cond E)N-S (Cond A)DSMC: axisym (Hruschka, 2010)Expt: axisym (Hruschka, 2010)N-S: cylinder (Park, 2012)

    ud profile in agreement with other data

    ud for current data does not reach Champans value of u

    d = 0.587

    (University of New South Wales, Australian Defence Force Academy) 23 / 32

  • Results Base pressure vs Mach number

    pd/p vs M

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    1 1.5 2 2.5 3 3.5 4 4.5 5

    (pd/

    p)

    M

    isentropic (ud = 0.587)N-S-Cond AN-S-Cond EDSMC-Cond Eud = 0.26-Cond Aud = 0.53-Cond E

    Correlates well only under isentropic assumption

    Numerical data indicate the recompression and pressure rise is strong dependent onviscous effects

    (University of New South Wales, Australian Defence Force Academy) 24 / 32

  • Results Body normal profiles

    Body normal profile - Details

    The u and v velocities obtained from the data lines have been resolved in parallel(Up) and normal (Un) components

    Expansion surface with an angle () of 30.465

    Parallel velocity: Up = u cos() v sin()Normal velocity: Un = u sin() + v cos()

    Compression surface with an angle ( ) of 23.702

    Parallel velocity: Up = u cos() + v sin()Normal velocity: Un = u sin() + v cos()

    y is normalised with the boundary layer thickness () at separationCondition E: N-S 2.5 mm; DSMC 1.4 mmCondition A: N-S 8.0 mm; DSMC : since no separation, N-S value is used

    (University of New South Wales, Australian Defence Force Academy) 25 / 32

  • Results Body normal profiles

    Body normal profile: Condition E

    0.00

    0.01

    0.10

    1.00

    10.00

    -500 0 500 1000 1500 2000 2500 3000

    y/

    Up, Parallel velocity (m/s)

    Expansion surface-N-SExpansion surface-DSMC

    Vertex-N-SVertex-DSMC

    Compression surface-N-SCompression surface-DSMC

    0.00

    1.00

    2.00

    3.00

    4.00

    5.00

    6.00

    7.00

    8.00

    9.00

    10.00

    -1500 -1000 -500 0 500 1000 1500

    y/

    Un, Normal velocity (m/s)

    0.00

    1.00

    2.00

    3.00

    4.00

    5.00

    6.00

    7.00

    8.00

    9.00

    10.00

    0.1 1 10 100

    y/

    p/p

    Expansion surface-N-SExpansion surface-DSMC

    Vertex-N-SVertex-DSMC

    Compression surface-N-SCompression surface-DSMC

    0.00

    0.01

    0.10

    1.00

    10.00

    1 10

    y/

    T/T

    (University of New South Wales, Australian Defence Force Academy) 26 / 32

  • Results Body normal profiles

    Body normal profile: Condition A

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    1.20

    1.40

    1.60

    1.80

    2.00

    -500 0 500 1000 1500 2000 2500 3000 3500 4000

    y/

    Up, Parallel velocity (m/s)

    Expansion surface-N-SExpansion surface-DSMCVertex-N-SVertex-DSMCCompression surface-N-SCompression surface-DSMC

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    1.20

    1.40

    1.60

    1.80

    2.00

    -2000 -1500 -1000 -500 0 500 1000 1500 2000

    y/

    Un, Normal velocity (m/s)

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    1.20

    1.40

    1.60

    1.80

    2.00

    0.01 0.1 1 10

    y/

    p/p

    Expansion surface-N-SExpansion surface-DSMCVertex-N-SVertex-DSMCCompression surface-N-SCompression surface-DSMC

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    1.20

    1.40

    1.60

    1.80

    2.00

    1 10

    y/

    T/T

    Expansion surface-N-SExpansion surface-DSMC

    Vertex-N-SVertex-DSMC

    Compression surface-N-SCompression surface-DSMC

    (University of New South Wales, Australian Defence Force Academy) 27 / 32

  • Results Streamlines

    Streamlines, separation and reattachment angles

    (e) Condition E (f) Condition A

    Comparison of measured angle with Oswatitsch (1957) theory

    tans = limx,y0(

    vu

    )

    = 3(

    dw /dsdpw /ds

    )

    s

    Angle Condition A Condition A Condition E Condition E- Theory Measured Theory Measured

    Separation 37 35 47 40

    Reattachment 7.5 10 1.4 4

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  • Computational Visualisation

    Computational Visualisation: Resultant velocity

    Condition E and Condition A

    (a) Navier-Stokes (b) Direct simulation Monte Carlo

    (c) Navier-Stokes (d) Direct simulation Monte Carlo

    (University of New South Wales, Australian Defence Force Academy) 29 / 32

  • Conclusions

    Conclusions

    Numerical simulations of a unique configuration with no pre-existing boundary layerusing N-S and DSMC under hypersonic flow conditions

    This has been attempted for the first time under hypersonic flow conditions

    Lower enthalpy (higher freestream density) flow condition E : DSMC predicted a largerseparated region by about 15%. Pressure, shear stress and heat flux show similar features.

    Higher enthalpy (lower freestream density) flow condition A : N-S results predicted a clearlyseparated region whereas the DSMC gave no indication of existence of a separated region

    Although DSMC indicated shear stress values very close to zero, over whole of theexpansion surface, they were still distinctly positive

    No indication of separation with the DSMC for condition A is attributed to the fact that theDSMC calculations take slip effects into account

    Rarefaction effects resulting from the leading edge expansion are strong and could delayseparation further down the expansion surface

    The assumption of no-slip in N-S may be inadequate for this configuration with condition A

    Isentropic recompression theory of Chapman may not be adequate in hypersonic highenthalpy low Reynolds number flows

    (University of New South Wales, Australian Defence Force Academy) 30 / 32

  • Thanks and Acknowledgements

    Thank you

    Acknowledgements

    Dr. Peter Jacobs (University of Queensland)

    UNSW Silver Star Research Grant

    For more information

    Prof. Sudhir [email protected]

    Dr. Deepak [email protected]

    School of Engineering & ITUniversity of New South WalesAustralian Defence Force AcademyCanberra, Australia

    (University of New South Wales, Australian Defence Force Academy) 31 / 32

  • References

    References

    Bird, G. A. (2006), DS2V: Visual DSMC Program for Two-Dimensional and AxiallySymmetric Flows.URL: http://gab.com.au/index.html

    Chapman, D. R., Kuehn, D. M. and Larson, H. K. (1958), Investigation of SeparatedFlows in Supersonic and Subsonic Streams with Emphasis on the Effect of Transition,Technical Report 1356, NACA.

    Jacobs, P. A. and Gollan, R. J. (2010), The Eilmer3 Code, Technical Report Report2008/07, Department of Mechanical Engineering, University of Queensland.

    Moss, J. N., O Byrne., S., Deepak, N. R. and Gai, S. L. (2012), Simulation ofHypersonic, High-Enthalpy Separated Flow over a Tick Configuration, 28thInternational Symposium on Rarefied Gas Dynamics, Zaragoza, July 9-13th, 2012.

    Oswatitsch, K. (1957), Die Ablosungsbedingung von Grenzschichten, in Boundary LayerResearch: International Union of Theoretical and Applied Mechanics Symposium,Freiburg, SpringerVerlag, Berlin, pp. 357367.

    Talbot, L. (1963), Criterion for Slip near the Leading Edge of a Flat Plate in HypersonicFlow, AIAA Journal 1(5), 11691171.

    (University of New South Wales, Australian Defence Force Academy) 32 / 32

    IntroductionMotivationFlow Features-Leading edge separationScopeComputational ApproachNavier-Stokes & Direct Simulation Monte CarloGeometric ConfigurationsGeometric ConfigurationsModelling DetailsModelling DetailsGrid Independence StudyGrid Independence StudyGrid Independence StudyResultsResults: Condition EResults: Condition EResults: Condition AResults: Further remarksKnudsen numberKnudsen numberDensity comparisonComparison with Champan's TheoryComparison with Champan's TheoryDividing streamline profileDividing streamline profileBase pressure vs Mach numberBody normal profilesBody normal profilesBody normal profilesStreamlinesComputational VisualisationConclusionsThanks and AcknowledgementsReferences