Study on Methods for Plug Nozzle Design in Two-Phase Flow

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    STUDY ON METHODS FOR PLUG NOZZLE DESIGN IN TWO-PHASE FLOW

    Kan Xie *, Yu Liu , Xiaodong Chen *, Junxue Ren , Yunfei Liao ** School of Astronautics, Beijing University of Aeronautics and Astronautics,

    Beijing, 100191, PRC

    Abstract '

    The previous design methods are not proper todesign plug nozzle contours of solid rocket motorusing the compound propellant, for the existence ofmetallized particle phase. The flow characters of

    plug are changed in the two-phase flow condition,therefore the particle-phase influence must beconsidered in the design. The ideal plug contour isdetermined by the expansion waves at the designaltitude, therefore it is a key to understand thegas-particle interactions in the expansion fan of

    plug. The method of characteristic (MOC) wasapplied to study the two-phase flow field of plug, inwhich the two-phase flow model was Lagrangemodel. Based on the computational results of MOC,the Angelino method and curve method wereimproved and extended to be able to design the

    plugs contour in two-phase flow conditions. Finallythe performances of the plugs created by the two

    improved methods were further examined by CFD,which can consider viscosity and turbulent withrespect to the MOC. The examined cases indicatethat the plug created by the improved methods can

    be shortened in length while their thrust performances increase at all altitudes, comparing tothe one created by the unimproved methods in thesame two-phase flow parameters.

    Nomenclature

    a

    = stagnation sonic speed

    a = local sonic speed A = area

    At = throat area of inner nozzle

    AA = radius angle of the arc expansion section of

    inner nozzle

    AE = expansion angle of inner nozzle

    C D = drag force coefficient of two-phase flow

    m&

    * PH.D. candidate, School of Astronautics, BUAA**

    PH.D., School of Astronautics, BUAA Professor, School of Astronautics, BUAA Senior Scientist, School of Astronautics, BUAA

    C g = specific heat of gas

    C p = specific heat of particle

    d p = diameter of particles

    eT = total expansion ratio of plug nozzle

    ein = expansion ratio of inner nozzle

    F = thrust

    f = mass flow rate ratio

    h = geometry height of plug nozzle

    K = velocity drag coefficient

    L = heat drag coefficient

    l i = length of single expansion wave

    = mass flow rate

    M = gas Mach number

    = equivalent Mach number

    P = pressure

    Pr = Prandtl number

    Rg = gas constant

    t = static temperatureT c = chamber temperature

    v( M ) = Prandtl-Meyer function

    v ( M ) = improved Prandtl-Meyer function of

    two-phase flowV g = gas velocity

    V p = particle velocity

    = equivalent specific heat ratio = oblique angle of plug nozzle

    = Mach angle = flow deflection angle

    = polar angle to x axis for a Mach wave

    = gas specific heat ratio

    = gas density

    = viscositySubscripts

    b = background

    c = chamber parameters

    e =exit of inner nozzle

    end = end tip of plug nozzle

    America Institute of Aeronautics and Astronautics1

    45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit2 - 5 August 2009, Denver, Colorado

    AIAA 2009-5329

    Copyright 2009 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

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    g = gas

    i = Mach line i

    in = inner nozzle

    p = particle

    Stokes = Stokes flowT = totalSuperscripts

    * = stagnation properties

    IntroductionAerospike nozzle can enhance rocket motors

    performance in the whole flight, owing to itsoutstanding advantages: the automaticallycompensation ability of altitude performance 1-3 .

    Although there have been fully developed designmethods for plug nozzles used in the liquid rocketmotors 4-6, it is not proper to use previous methods todesign plug nozzles for the solid rocket motors(SRM) using the compound propellant 7, 8 . For theexistence of metallized particle phase, the flowcharacters and performance of plug nozzles arechanged 7. The existing researches for bell nozzleshave found that the position of sonic line is changedobviously in two-phase flow conditions; the dragforce between particles and gas leads to two-phaselost of performance. Improper design probablydecreases the performance of plug nozzle, increasesthe collision of particles on plug wall anddeteriorates the ablation. Therefore, the

    particle-phase influence and the geometryrestriction of decreasing the particle collision must

    be considered in a two-phase flow condition 8.For the plug nozzle design in single phase flow,

    Angelino put forward an ideal and approximatecontour method early in 1964 4. The Angelinomethod was widely applied in a series ofresearches 9-11 and projects 12. Ref.13 brought upanother curve method using parabola plus cubiccurves, based on the Angelino method. Plugs canget quite high performance designed by both ofthem, validated by a series of experiments 9-12 . Butthey are only fit to apply in single phase flowconditions.

    For complexity of two-phase flow, it is hard tofind an academic method for the two-phase plugdesign as the conventional maximum trust bell

    nozzle14

    . The MOC and CFD were both appliedhere to investigate the two-phase flow details and

    characters in plugs. Based on the fast calculationresults by MOC, the gas-particle interactions in theflow field of plug, expressed and summarized as avelocity drag coefficient, were analyzed. And thenafter considering the influence of particles on

    expansion wave behavior of plug, the Angelinomethod and curve method were improved fortwo-phase plug design. Finally the CFD methodwas applied to validate performance of plugsdesigned by the two improved methods.

    Two-phase flow model for MOC andanalysis

    NASAs standard program SPP 15, 16 applies such

    a method to predict the two-phase nozzle flow of

    SRM that CFD is applied in the transonic flow fieldand MOC applied in the rest supersonic flow field.

    The calculation results by the SPP program can

    agree well with the experimental data. Similar

    procedure was applied in the MOC program

    developed in this paper.

    A. Physical model

    (a) Discretization of the expansion fan in plug

    nozzle

    (b) Geometry of inner nozzle

    Fig. 1 Presentation of axial plug nozzle

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    Table 1. Two-phase flow parameters

    Rg

    /J/(kg.K)

    T c/K

    P c /Pa

    C g/J/(kg.K)

    C p

    /J/(kg.K)

    1.2 320 3000 5.0e6 1391.2 1430

    Fig.1 shows the typical axisymmetric Aerospike

    nozzle of whole length studied. For the reason of

    symmetry, only one-sided geometry was computed.

    Parameter is the oblique angle between the axial

    lines of inner nozzle and the plug. P c is the chamber

    pressure and P b is the environmental pressure. P c is

    set at 5.0MPa and the total temperature T c is 3000K

    in this study. The particle phase is Al 2O3. The

    two-phase flow parameters are listed in Tab.1. In

    the program, the diameter of particle has only one

    size. In the following cases for MOC program, the

    flow fields of particle diameters d p=1m andd p=10m were studied individually and compared.

    B. The MOC procedure

    The particle phase is treated by solving

    Lagrangian equations of motion 17, 18 . The model is

    based on a dilute particle phase assumption and

    particles interaction is neglected. Here NND

    scheme is applied to discrete the Euler equations to

    compute the transonic flow field of the inner nozzle.

    More details about NND scheme is shown in Ref.19.

    The supersonic flow field is computed by MOC.

    Three main assumptions are adopted in the MOC

    program:

    1. The gas phase is treated as perfect gas, and has

    fixed physical properties. Viscosity of gas is ignored

    except when it acts with the particle phase;

    2. The particles have only one size. Pressure andvolume of the particle phase is ignored;

    3. Only drag force and heat convection are

    considered between the two phases. Mass transfer

    between the two phases isnt considered. Mass

    transfer and energy exchange isnt either considered

    at the wall boundary.

    The characteristic equations of two-phase flow

    and corresponding consistent equations are listed in

    Ref.18. 6 kinds of main basic unit-procedures are

    applied in the MOC program 20. In the two-phase

    flow region (Region between the up and down

    limited particle tracks in Fig.2), the gas-particle

    interaction procedures are performed and particles

    are tracked in the characteristic units. Single

    characteristic procedures are performed for the up

    and down limited particle tracks. The single gas

    procedures are performed out of the two-phase flow

    region. Details of those basic procedures were

    presented in Ref.20 and 21. When particle tracks

    reach the solid wall or axisymmetric line, it is

    assumed that the particles do not reflect, but

    continue to move along the boundaries; when

    particles reach the free streamline boundary,

    particles run out of it, never back to the flow field.

    The gas boundary conditions are already embedded

    in the unit procedures.

    C. Analysis and Discussion

    (a) Mesh of inner nozzle for NND

    (b)Mesh of plug created by MOC

    Fig.2 Mesh in the MOC program

    The mesh of transonic flow field in the inner

    nozzle is shown in Fig.2 (a), and mesh formed by

    interlaced characteristics along space in the plug

    shown in Fig.2 (b). The gas-particle interaction can

    be expressed as the parameter of velocity drag

    coefficient K , defined as:

    2/ g g p V V V K rrr =

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    When K gets close to the value one, it means the

    particle can follow the motion of gas; when K gets

    close to the value zero, it means the particle lags

    behind the gas motion and will pull down the

    velocity of gas, which leads to large two-phase lost

    in the nozzle. The Mass flow rate ratio is defined

    as:

    / p g f m m= & &

    Fig.3 shows the variation of K in the flow field

    of plug, along the mid particle track (see Fig.2 (b))

    at the design altitude. The zero of horizontal

    ordinate represents the throat of inner nozzle. The

    curves indicate that the size of particles fully

    determine the variation law. K suddenly falls downat the point 1 position of plug, where the particles

    start to go into the expansion waves generated from

    the lip E (see Fig.1 (a)). In the expansion-wave

    region, gas velocity increases fast and particle can

    not follow it at once, which results in the drop of K

    at this position. And then K increases again when

    the particles are accelerated by the drag of gas.

    Fig.3 (a) shows that 1m particles can quickly

    adjust their parameters to follow the gas motion

    when they run across the expansion fan of plug, and

    K s value fast stabilizes at about 0.97 at last. Fig.3

    (b) shows that 10m particles adjust their

    parameters less quickly and K goes up slowly in the

    expansion-wave region. The mass weighted

    assembly average of K for 10m particles in the

    expansion-wave region is about 0.55.

    (a) d p=1m, f =30%

    (b) d p=10m, f =30%Fig.3 K s variation along the axial line of inner

    nozzle

    The ideal plug contour is determined by the

    expansion waves at the designed altitude. In

    two-phase flow conditions the expansion waves are

    disturbed by the particles, therefore the two-phase

    plug contour can not be design using the previous

    methods without considering the disturbance.

    Especially at the position near point 1, the

    disturbance can not be neglected. The disturbance

    on the expansion waves of particles can beconsidered using the mass weighted assembly

    average of K , which can represent the gas-particle

    interaction in a simplified way. And the MOC

    program provides a fast way to predict the values of

    K in the flow field of plug nozzle.

    Improved methods for two-phase plugdesign

    A. The improved Angelino methodThe Angelino method assumes that at the outlet

    of the inner nozzle, gas has uniform flow

    parameters and velocity vector is parallel to the

    axial line of the inner nozzle. At the design altitude,

    gas generates a branch of linear, constant properties

    expansion waves from the lip E shown in Fig.1.

    And after going through the expansion waves,

    velocity vector of gas turns to parallel to the plugs

    centerline at the tip of plug (point F in Fig.1).

    Therefore the solid wall of plug can be treated as a

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    gas streamline boundary of the linear expansion

    waves. The Mach angle i for a Mach line i in the

    expansion region (See Fig.1 (a)) can be calculated

    using the formula (1). Flow deflection angle imeasured by the Prandtl-Meyer angle of M e (See

    Fig.1 (a)) is: i=v( M i)-v( M e). v( M i) is the

    Prandtl-Meyer function listed in formula (2). Then

    the polar angle i of Mach line i is determined by i

    and i. According to mass conservation, the Mach

    waves length l i is able to be calculated by formula

    (3). When all the i and l i of each Mach line in the

    expansion region are calculated, the ideal contour

    for the plug can be drawn.

    1sin (1/ )i i

    M = (1)

    ( ) ( )1 2 11 1 11 1i i

    v M tg M tg M

    + = +

    2 1i

    )

    (2)

    ( 1 2/ ( ) ( )i g i i i il m M f M f M W = & (3)

    The specific expressions of 1( M i), 2( M i) and

    W i in formula (3) has relation with gas velocity V g ,

    gas density and flow area Ai of each Mach line i.

    their expressions are listed in Ref.4.

    Here we use an assembly average of K in the

    flow field of plug to represent the disturbance of

    particles on gas motion. And it is assumed that K is

    a constant. Several attached assumptions on

    two-phase flow of plug are applied as follows:

    1. It is assumed that particles keep the state of

    Stokes flow, therefore C D+ = Nu+ =1.0, whose

    definitions are as follows:

    ,

    D D

    D Stokes

    C C

    C

    + (4)

    ,

    24 24 D Stokes

    e g p

    C R d V V

    = =

    (5)

    2 stokes

    Nu N Nu

    Nu+ = = u (6)

    C D is called drag force coefficient20, 22 .

    2. Particles stay liquid, no phase change is

    considered for particles;

    3. The specific heats of gas and particles are

    constant.

    On those assumptions, velocity drag coefficient

    K and heat drag coefficient L have one-to-one

    correspondence. L is defined as follows:

    c p

    c g

    T t L

    T t

    =

    (7)

    K and L have a relational expression 20, 22 :

    1

    11 3Pr pl

    p

    c K L

    c K

    = +

    (8)

    For K is a constant, one-dimensional control

    equations for such two-phase flow can be simplified

    as the same form with the ones for steady isentropic

    flow of perfect gas (Note that in one-dimensional

    two-phase flow, K s expression can be simplified as

    K =V p /V g). The only difference is that gas parameters

    and M in gas control equations are replaced by

    equivalent parameters of two-phase flow and .Their definitions are as follows 20, 22 :

    1 ( 1) BC

    = + (9)

    CM = (10)

    , and

    21

    1 pl

    p

    fK Bc

    f Lc

    +=+

    ( ) ( )21 1 1 pl p

    cC f K K K BL

    c

    = + + +

    Then the similar aerodynamic functions as

    single gas phase can be used to resolve one

    dimensional two-phase flow with constant velocity

    drag coefficient K . The following aerodynamic

    functions exist in such two-phase flow:

    12 1

    22 2

    1 2 11

    1 2t

    A M

    A M

    + = +

    +

    (11)

    2112 g

    T M

    T = + (12)

    1121

    1 2 M

    = + (13)

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    12112

    p M

    p

    = +

    (14)

    To calculate the linear expansion wave length in

    the two-phase flow with a constant K , a new

    Prandtl-Meyer function need to be derived

    considering the particle disturbance. It is different

    with the formula (2) of single gas phase.

    (a) Two-phase flow over a budge

    (b) Gas deflection at Mach line i Fig.4 Physical process for the two-phase flow over

    a budge

    Performing a similar progress of deducting the

    basic differential equations of flowing over a bulge

    for single gas phase, the basic differential equations

    for two-phase flow with constant K (See Fig.4) are

    attained and given as follows:

    ( )2 2

    1 1

    gi i i

    gi i i

    dV d Cd d

    V

    (15)

    And from the expression , the

    following equation is attained:

    a M V i gi =

    gi i i

    gi i i

    dV dM dM da daV M a M

    = + = +a

    (16)

    The relational expression (17) for the stagnation

    sonic velocity and the local sonic velocity exists in

    the two-phase flow with a constant K :

    ( )( )2 2 21 / 2 ia a a M = + 2 (17)

    It is an isentropic process when gas flows across

    the expansion contour, therefore a *=constant.

    Making expression (17)s differential form

    substitute in equation (16), the following expression

    is attained:2

    2 212 12

    gi i

    gii i

    dV dM V M M

    = +

    (18)

    Substitute expression (18) into (15); we get:2

    2112

    ii i

    i i

    M CdM d Cd

    M M

    = = +

    i , and its

    integral form is

    ( )1 2 1 21 1 1 11 1i itg M tg M D + i= + + + (19)

    D is an integral constant, and make

    ( ) ( )1 2 11 1 1 11 1i i

    v M tg M tg M

    + 2i= +

    (20)

    2

    i

    i M M C C M

    = = =

    Formula (20) is the new Prandtl-Meyer function

    for two-phase flow with a constant K . The

    difference between formula (20) and (2) is that the

    specific heat ratio of gas is taken place by

    equivalent parameter of two-phase flow, but theMach number in function (20) is still the gas Mach

    number M i. The formula (20) indicates that the main

    influence of particle phase on gas defection in the

    expansion region is changing the specific heat ratio

    of mixture. The equivalent specific heat

    ratio contains two parts of disturbance of particle phase: drag force disturbance and heat disturbance

    (Expressed as parameters K and L individually informula (9)). Then the linear expansion waves in

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    two-phase flow can be fixed as following: for a

    given M i, relation expressions (9) and (10) are

    applied first to gain equivalent Mach

    number i and equivalent specific heat ratio . By

    using the new functions (19) and (20) and formula(1), polar angle i for the inclined linear expansion

    wave i of two-phase flow can be calculated.

    Formulas (11)-(14) are used to resolve the

    parameters on expansion wave i. At last, the length

    l i of expansion wave i after considering the

    disturbance of particles can be calculated using the

    following mass convection function:

    ( ) ( )( )1 2/i g i i i il m M f M f M W = & (21)When i and l i are fixed, expansion waves and

    ideal plug contour are fixed. Formulas (11)-(14), (1),

    (19) and (20) are the final design formulas of the

    improved Angelino method. The new design

    formulas contain the new parameters K , C g /C p, f , t p,

    and i which can represent the disturbance of particles on the linear expansion waves in some

    degree. The new formulas also show different

    behaviors of expansion waves in the two-phase flow

    conditions. Note that when f =0, formulas (20) and

    (21) turn the same as the ones of single gas phase,

    and i i M = , = .

    B. The improved Parabola plus Cubic Curve

    curve Method

    Fig. 5 Presentation of curve method

    Ref.13 uses curves to approximate the ideal plug

    contour generated by the Angelino method. Two

    curves are used: the front one is parabola; the back

    one is cubic curve (see Fig. 5). At the outlet of the

    inner nozzle, the static pressure and Mach number

    of gas are noted as P e and M

    e. At the design altitude,

    gas fully expands until the pressure equals to the

    environment pressure P b. The Mach number at the

    end of plug is noted as M end , and the gas flow

    deflection angle (see Fig.5) is: = ( M end )- ( M e).

    Only two expansion wave lines, EF and EG

    (See Fig.5), are resolved in the curve method. EF is

    the last wave, through which the gas flow direction

    turns parallel to the plugs centerline and the static

    pressure turns the same as the environment.

    Formula (3) is used to calculate the length of EF .

    The position of point F is then determined by EF s

    length and the angle . The gas flow deflection

    angle is /2 when gas flows through the wave EG .

    In the same way, EG s length then can be resolved

    and the position of point G is determined. In

    addition, the position of point D and the tangentialangles at points D, G and F are known. Therefore

    the mathematical expressions of the parabolic curve

    and cubic curve can be attained.

    In the improved curve method, the same curves

    are still applied to fit the ideal contour points

    generated by the improved Angelino method. The

    differences with the unimproved curve method are

    that expressions (20) and (21) are used to replace

    the expressions (2) and (3), and the aerodynamic

    functions are taken place of by functions (11)-(14).

    The solution process is the same as the unimproved

    method mentioned above.

    C. Design results and analysis

    Table 2. Basic design conditions for the referenced

    two-phase plug

    eT ein At /m2 AA AE K d p/m

    30 4.5 5.71e-4 16 o 0o 0.3 0.55 10

    The design conditions for two-phase axial plug

    and geometry variables are listed in Tab. 2. In the

    design process, it was found that the convergent

    angle and radius of the arc convergence section of

    inner nozzle, chamber pressure P c, total temperature

    T c, and Prandtl number Pr (Here is 0.72) , have little

    influence on physical dimension of the plug. The

    main factors of influencing the outline of the plug

    obviously are parameters AA, AE , ein, eT , and K. The

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    total pressure ratio eT (Correspondent to a design

    M end ) are usually set before design. Therefore the

    examined design variables are AA, AE (See Fig.1

    (b)), ein, and K , of which the parameter K

    determines the plugs outline chiefly.

    When using the improved methods to design

    two-phase plugs, K should be known beforehand as

    one of design conditions. It can be estimated by the

    MOC program developed in this paper. The specific

    resolving process is as follows: 1) under the same

    design conditions, the unimproved methods is used

    first to get an initial plug contour; 2) using the MOC

    program the two-phase flow field of initial plug

    nozzle can be fast simulated, and an assembly

    average value of K is attained; 3) using the initialvalue of K , the two-phase plug can be designed

    using the improved methods; 4) a new value of K

    will be attained by MOC program for the improved

    plug. After 2-3 times of iterations, the value of K

    can stabilize at a fixed value. And the plug contour

    is fixed at the same time. As discussed before, K is

    determined chiefly by particle size. The influence of

    K on plug outline implies the influence of particle

    size. For the examples studied here, the results of

    MOC show that the corresponding assembly

    average of K for 10 m particles with f =30% isabout 0.55.

    Fig.6 (a) compares the design results by the

    unimproved and improved methods with the same

    design parameters listed in Tab.2. The length of

    two-phase plugs designed by the improved

    Angelino method (Called two-phase ideal face) and

    the improved curve method (Called two-phase

    curve face) are shortened by 33%, comparing to the plug contours by unimproved methods (Called pure

    gas curve face and pure gas ideal face). The plug of

    two-phase idea face in Fig.6 (a) is noted as the

    referenced plug nozzle for the following discussion.

    Because of heat drag between the gas phase and

    particle phase, the temperature of particles is always

    higher than the gas in the same position of plug

    flow field. The heat convection between the two

    phases makes the streamlines of gas divergent

    outward. If the plug in two-phase flow condition is

    designed using the previous methods of single

    phase, no heat influence of particles can be

    considered. Then at the design altitude, the free

    streamline boundary is no longer parallel to the

    centerline of plug nozzle but divergent outward.

    The design M end (At the design altitude) can either

    not be reached for the drag of particles.

    Fig.6 (b) gives different plug contours by the

    improved Angelino method with different values of

    K . As K increases to the value one (Namely the

    particle size is smaller), the two-phase flow

    approaches a two-phase equilibrium flow and the

    two-phase plug turns to have a larger oblique angle

    (See the enlarged view of inner nozzle in Fig.6 (b))

    and a shorter length. As K changes toward theopposite end of value zero, two-phase plug turns the

    same as the plug of single gas phase (See the view

    of whole plug nozzles in Fig.6 (b)). The design

    results indicate that the parameter increases in a

    two-phase flow condition with considering the heat

    disturbance of particles. And Note that the heat

    disturbance of particles is related to the velocity

    drag coefficient K through the formula (8).

    (a) Plug contours created by three methods

    View of whole plug nozzles

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    The enlarged view of inner nozzle

    (b)Plug contours vs. K

    (c) Plug contours with different inner nozzles Fig.6 Results for two-phase plug design

    Fig.6 (c) shows the plug contours by the

    improved Angelino method as the inner nozzles

    variables change comparing to the referenced

    parameters listed in Tab.2. As AA decreases, the

    inner nozzle tends to have a longer length, and its

    appearance is more like an elongated cone nozzle;

    the plug tends to have a larger and a larger height

    h. As AE increases, the inner nozzle tends to have a

    shorter length, a smaller , and a smaller h, but

    there is little change on the shape of the whole plug.

    As ein increases, the plug has a smaller , while h is

    almost the same with the referenced plug.In general, the most sensitive variables for

    two-phase plug design are AA, ein, and K . It is noted

    that, for the referenced plug, the particles will be

    unavoidable to collide on the plug wall. That is

    because the outlet of inner nozzle points to the front

    part of plug wall. A basic and direct design rule is

    that: the farmer the down limited particle track gets

    away from the plug (see Fig.2 (b)), the smaller

    probability there is for particles to collide on the

    wall. Therefore to decrease the probability and

    frequency of particle collision, the design geometry

    parameters AA, AE and ein, should be chosen

    carefully. And a larger but pertinent ein, a smaller

    AA, and a larger AE comparing to the reference

    geometry parameters are recommended in practical

    design. This is called geometry restriction with

    considering the probability of knocking on the plug

    wall for the down limited particle track.

    Performance validation and discussion

    A. CFD model and mesh

    Fig. 7 Two-phase flow phenomena in the plug

    nozzle

    Fig.8 Mesh of plugs flow field for CFD

    Fig.7 is a sketch of the flow phenomenon in a

    two-phase plugs flow field. Although the MOC

    program developed by this paper can calculate the

    performances of two-phase plugs, the control

    equations of gas for MOC are Euler equations.

    Therefore the MOC model cant calculate the lost

    caused by viscosity and consider the turbulent effect.

    To review the combined effects of all factors, CFD

    method is applied to resolve the two-phase flow.

    The model of particle phase is the Lagrange model.The turbulence model applied is S-A model with a

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    logarithmic law of the wall 23. All the calculation is

    performed in FLUENT (V6.3). In the following

    examples, the particles have only one size and

    d p= 10m is chosen to review. Fig.8 is the region ofcalculation and the mesh for FLUENT.

    B. Flow field analysis

    The flow fields and performances of four

    two-phase plugs were calculated to compare, which

    are two two-phase ideal plugs 1 and 2 (By the

    improved Angelino method), a two-phase curve

    plug 3 (By the improved curve method), and a pure

    gas ideal plug 4 (By the unimproved Angelino

    method). Their design total expansion ratio eT is 30.

    The geometry variables of expansion section for the

    four inner nozzles are listed in Tab. 3. The other

    design conditions are the same with the ones listed

    in Tab.1 and 2. The oblique angle was calculated

    after designing the plugs. The two-phase ideal plug

    2 was designed after considering the geometry

    limitation of decreasing the possibility of particles

    collision on the plug based on the flow field

    analysis of plug 1.

    Table 3. The geometry parameters of four plugs AA AE e in

    Two-phase ideal plug 1 16 o 0o 4.5 33.89 o

    Two-phase ideal plug 2 10 o 6o 8 16.15 o

    Two-phase curve plug 3 16 o 0o 4.5 33.89 o

    Pure gas ideal plug 4 16 0 0o 4.5 32.73 o

    Fig.9 compares the results of two-phase plugs 1

    and 2 predicted by CFD at the design altitude.

    Influenced by the heat transfer from particles, the

    gas stream lines of plug 1 are divergent away from

    the axial line of the plug, which leads to divergence

    loss (see Fig.9 (a)). The gas free streamline

    boundary in plug 2s flow field is approximately

    parallel to the center line of the plug, which has less

    divergent loss than the plug 1(See Fig.9 (b)). Fig.9

    (c) and (d) show the initial knocking point of the

    down limited particle track on the plug wall. The

    initial knocking point of plug 2 moves backward

    comparing to the initial one of plug 1 and thenumbers of particles knocking tracks in plug 2 are

    smaller than those in plug 1. It implies that the

    probability of particles knocking on the wall of

    plug 2 is smaller than that of plug 1. Therefore it is

    truly effective for lightening the scouring of

    particles on plug wall by considering the geometry

    restriction of the down limited particles track. And

    the particles in the plug 2s flow field have a

    uniform distribution which is favorable for energy

    exchange of two phases and full expansion of gas.

    The flow field analysis above indicates the

    importance of choosing geometry parameters of AA,

    AE and ein and necessity of considering the

    geometry limitation of decreasing the possibility of

    particles collision in two-phase plug design.

    (a) (b)

    (c) (d)

    Fig.9 Parameters contours of plug 1 and 2: (a)

    Mach number and total pressure contour of plug 1;

    Mach number and total pressure contour of plug 2;

    (c) Particles tracks of plug 1; (d) particles tracks of

    plug 2.Fig.10 gives the results of two-phase curve plug

    3 at the design altitude. The oval region noted in

    Fig.10 (a) is corresponding to the one in Fig.10 (b).

    There exists catastrophic deposit of particles in the

    oval region; therefore there is distortion in the flow

    field which results in a wake at the end of plug. The

    Mach number contours approximately have a

    laminated distribution in the oval region, but no

    separation of gas happens there (see Fig.10 (b)). In

    practical application, this oval region can be cut off

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    and the plug turns a shortened form.

    (a) (b)

    Fig.10 Parameters contours of plug 3: (a) Mach

    number and total pressure contour; (b) particlestracks and gass stream line

    Fig.11 Mach number and total pressure contour of

    plug 4

    For the particles drag, the gas total pressure

    falls down. The total pressure contour can illustrate

    the distribution of intensive action between gas and

    particles. The lower parts in Fig.9 (a), 10 (a) and 11

    show the total pressure contours. The results showthat there is a large region of energy exchange

    between particles and gas for the two-phase plugs

    created by the improved methods. But there exist

    apparent energy exchange only in the region near

    the solid wall for plug 4 by unimproved Angelino

    method (See Fig.11).

    C. Performance and further discussion

    The thrust performance of examined plugs is

    calculated using the following formula:

    , x g g x ainlet inlet inlet

    x F pdA V V dA p dA = +

    x w xwall wall

    pdA dA (22)In formula (22), F is total thrust of the plug

    nozzle; the first term and the second term in

    right-hand side together represent the gass force on

    the chamber head (The inlet in Fig.8); the third term

    is the force of environmental pressure on the

    chamber head. The fourth term is the integration of

    gass pressure on the wall. The final term is the

    friction force of gas on the wall.

    Fig.12 Comparison of thrust performance

    Table 4. Work conditions and trusts of the four

    plugs

    Work conditions

    /pa101325 50000 15244 5000 1000

    Thrust of Plug 1

    (N)4698.6 4943.0 5316.3 5475.5 5553.4

    Thrust of Plug 2

    (N)4918.6 4943.2 5289.2 5394.8 5776.0

    Thrust of Plug 3

    (N)4828.4 5096.9 5527.1 5710.3 5774.9

    Thrust of Plug 4

    (N)4629.7 4853.2 5219.8 5379.1 5444.2

    Notes: 15244 Pa is the pressure of the design altitude;

    Fig.12 gives trusts variation curves as the

    environmental pressure changes for the fourexamined plugs. The symbol of background

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    pressures value is negative in the graph. The curves

    show that two-phase ideal plugs 1 and 2, and

    two-phase curve plug 3, which are all created by the

    improved methods of considering the particle-phase

    influence, have better thrust performances at all

    altitudes than the pure gas plug 4 created by the

    unimproved Angelino method, under the same

    design conditions. Especially the trust of plug 3 is

    increased by 4% comparing to plug 1 (See Tab. 4).

    Plug 2 has better performance especially in lower

    and in higher altitudes than plug 1, but at around the

    designed altitude it has a worse performance.

    Therefore the performance of the plug nozzle and

    geometry limitation of decreasing the probability of

    particle collision should be balanced in the practical plug nozzle design. As mentioned before, the length

    of plugs created by the improved methods is

    shortened by 33% comparing to the ones created by

    the unimproved methods. In general, after

    considering the disturbance of particle phase, a

    shorter length and better performance can be

    attained for plug nozzle design in two-phase flow

    conditions. The improved methods can consider the

    particle-phase influence on gas motion at some

    degree as to increase the performance of plug in

    two-phase conditions, comparing to the unimproved

    ones.

    ConclusionThe computation results by MOC program

    indicate that the disturbance of particle phase on theexpansion waves is mainly related with the particlesize in a dilute two-phase flow of the plug. Anapproximate assumption of constant velocity dragcoefficient K in the two-phase flow of plugs was

    brought up to simply the analysis. By introducingthe summarized parameter K for gas-particleinteraction, the Angelino method and curve methodwere improved and extended for the plug design intwo-phase flow conditions. The new designformulas can consider the velocity and heatdisturbance of particles on expansion wave behavior.Meanwhile the down limited particle track isconsidered as an additional geometry restriction in

    the design. In the two phase flow condition with afixed mass flow rate ratio, the main parameters to

    influence the plugs outline are AA, AE, e in , and K. K is the most important parameter to influence the plugs outline obviously. Its value can be fastestimated by the MOC program developed in this

    paper. As the particle size increases, the two-phase

    plugs tend to have a larger and a shorter length.The examined cases by CFD prediction indicate thatthe plug created by the improved methods can beshortened in length, while their performancesincrease at all altitudes, comparing to the onecreated by the unimproved methods in the sametwo-phase flow parameters.

    AcknowledgementThis work has been carried out at the support of

    National Natural Science Foundation of China(General Program 50476002). The authors aregrateful to Dr Wuye Dai and Dr Lizi Qin for theirhelp.

    Reference1Ruf, J. H., McConnaughey, P. K., The Plume

    Physics Behind Aerospike Nozzle AltitudeCompensation and Slipstream Effect, AIAA Paper97-3218, July 6-9, 1997.

    2Muss, J. A., and Nguyen, T.V., Evaluation ofAltitude Compensating Nozzle Concepts for RLV,AIAA Paper 97-3222, July 1997.

    3Angelino, G., Theoretical and ExperimentalInvestigation of the Design and Performance of aPlug-type Nozzle, Training Center ForExperimental Aerodynamics, Technical Note 12,July 1963. Rhode-Saint Genese, Belgium.

    4Angelino, G., Approximate Method for Plug Nozzle Design, AIAA Journal , Vol. 2, No. 10, 1964, pp. 1934-1835.

    5Humphreys, R. P., Thompson, H. D. andHoffmann, J. D., Design of Maximum Thrust Plug

    Nozzles for Fixed Inlet Geometry, AIAA Journal ,Vol.9, No. 8, Aug. 1971, pp. 1581-1587.

    6Greer, H., Rapid Method for Plug NozzleDesign, ARS Journal , Vol. 31, No. 4, 1961, pp.560-561.

    7Ren, J. X., Numerical Simulation of Two-phaseFlow in Two-dimensional Plug Nozzle, 2005International Autumn Seminar on Propellants,Explosive and Pyrotechnics. Beijing, China, Oct.

    2005.8Hoffman, J. D., A General Method for

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  • 8/11/2019 Study on Methods for Plug Nozzle Design in Two-Phase Flow

    13/13

    America Institute of Aeronautics and Astronautics

    13

    Determining Optimum Thrust Nozzle Contours forGas-Particle Flows, AIAA Journal , Vol. 5, No. 4,April 1967, pp. 670-676.

    9Dai W. Y., Liu Y. and Cheng X. C., SimulatedTests of Aerospike Nozzle and Data Acquisition

    System, Journal of Propulsion Technology , Vol. 21, No. 4, April 2000, pp. 85-88.

    10Dai, W. Y., Liu, Y., Cheng, X. C., and Ma, B.,Analytical and Experimental Studies ofTile-Shaped Aerospike Nozzles, Journal of

    Propulsion and Power , Vol. 19, No. 4, July 2003, pp. 640-645.

    11Liu, Y., Zhang G. Z., Dai W. Y., Ma, B., Cheng,X. C., Wang, Y. B., Qin, L. Z., Wang, C. H., and Li,J. W., Experimental Investigation on Aerospike

    Nozzle in Different Structures and WorkingConditions, AIAA 2001-3704, July 2001.

    12Rocketdyne Inc., Final Report, AdvancedAerodynamic Spike Configurations. Report No.AFPRL-TR-67-246, September 1967.

    13Qin, L. Z., Contour Design and Optimizationof Aerospike Nozzles, Ph.D. Thesis, BeijingUniversity of Aeronautics and Astronautics, PRC,May 2002.

    14Rao, G. V. R., Exhaust Nozzle Contour forOptimum Thrust, Jet Propulsion , Vol. 28, No. 2,

    1958, pp. 377-382.15Coats, D. E., French, J. C. and Dunn, S. S.,Improvement to the Solid Performance Program(SPP), AIAA Paper 2003-4504, July 2003.

    16Coats, D. E., Solid Performance Program(SPP), AIAA paper 87-1701, 1987.

    17Marc, B., Olivier, S., On the Prediction ofGas-solid Flows with Two-way Coupling UsingLarge Eddy Simulation, Phys. Fluids , Vol. 12, No.8, 2000, pp. 2080-2090.

    18Hwang, C. J., Numerical Study of Gas-ParticleFlow in a Solid Rocket Nozzle, AIAA Journal , Vol.26, No. 6, 1987, pp. 682-689.

    19Zhang, H. X., Non-Oscillatory and Non-Free-Parameter Dissipation Difference Scheme, ACTA

    Aerodynamica Sinica , Vol. 6, No. 2, 1988, pp.143-165.

    20Zucrow, M. J., Hoffman, J. D., GasDynamics, Beijing, National Defense Press, 1984,

    pp. 83-187.21Dai, W. Y., and Liu, Y., Applications of

    Method of Characteristics on Aerospike Nozzle, Journal of Aerospace Power , Vol. 15, No. 4, Oct.

    2000, pp. 371-37.22Kliegel, J. R., Gas Particle Nozzle Flows,

    Ninth International Symposium on Combustion, New York: Academic Press, 1963, pp. 811-826.

    23Spalart, P., and Allmaras, S., A One-equation

    Turbulence Model for Aerodynamic Flows, AIAAPaper 92-0439, 1992.