fem8

Upload: chrissbans

Post on 02-Apr-2018

217 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/27/2019 fem8

    1/16

    Numerical simulation of cavitating ow using the upstreamnite element method

    Tomomi Uchiyama 1

    School of Informatics and Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan

    Received 5 November 1996; received in revised form 12 January 1998; accepted 3 March 1998

    Abstract

    A nite element method is proposed to predict cavitating ows in arbitrarily shaped channels. An upwind scheme,

    based on the PetrovGalerkin method using an exponential weighting function, is employed to eliminate the numerical

    instability due to the advection term. The solution algorithm is parallel to a fractional step method. The calculation

    domain is divided into quadrilateral elements. The pressure is dened at the centroid of the element and assumed to

    be constant within the element. The other variables, such as the velocity and void fraction, are dened on the nodes.

    Cavitating ows around a circular cylinder are simulated by the present nite element method. The cavitation occur-

    rence relates closely to the vortex motion of the water in the sheared layer in accordance with experimental observa-

    tions, and the cavitation regions almost coincide with the regions where cavitation bubbles are observed frequently

    in experiments. This indicates that the present method is indeed applicable to the prediction of cavitating

    ows. 1998 Elsevier Science Inc. All rights reserved.

    Keywords: Computational uid dynamics; Cavitation; Upstream nite element method; Bubbly ow; Vortex

    shedding

    1. Introduction

    Cavitation is one of the phenomena that must be taken into account when designing and op-

    erating hydraulic machinery. Since cavitation in hydraulic machinery results not only in poor per-

    formance but also noise, vibration and erosion, much attention has been devoted to methods for

    predicting cavitating ow, especially numerical methods.

    Based on the assumption that the ow is inviscid, various numerical methods have been thusfar proposed to simulate cavitating ows; the conformal mapping method [1,2], the singularity

    method [35], and the panel method [6]. The ow around hydrofoil [1,4] and within a centrifugal

    impeller [2,5] could be calculated using these inviscid ow models. Experimental observations

    have revealed that the cavitation appearance relates closely to the viscous phenomena of the liq-

    uid-phase, such as the boundary layer and the vortex motion. Recently, viscous ow models,

    which regard the cavitating ow as the bubbly ow containing spherical bubbles, were introduced

    Applied Mathematical Modelling 22 (1998) 235250

    1 Fax: 81 52 789 5187; e-mail: [email protected].

    0307-904X/98/$19.00 1998 Elsevier Science Inc. All rights reserved.

    PII: S 0 3 0 7 - 9 0 4 X ( 9 8 ) 1 0 0 0 3 - 3

  • 7/27/2019 fem8

    2/16

    to provide highly accurate calculations. In the viscous ow models, the NavierStokes equationincluding cavitation bubble is solved in conjunction with Rayleigh's equation governing the

    change in the bubble radius. Kubota et al. [7] analyzed the ows around a hydrofoil by the nite

    dierence method, and Shimada et al. [8] calculated the ow in a fuel injection pump for dieselengines by the control volume method. The predominating regions of high volumetric fraction

    of bubbles obtained by these methods agree well with the cavitation regions observed experimen-

    tally.

    On the other hand, the analyses of ows in arbitrarily shaped channels are frequently nec-

    essary to solve practical problems in many engineering elds. There is a growing tendency for

    the nite element method to be employed in such analysis [9,10]. This is because the method

    can represent precisely the geometry of the calculation domain and one can construct locally

    ner computational meshes. The nite element method promises to analyze successfully cavita-

    ting ows in an arbitrarily shaped channel, but it has been rarely applied to cavitating ow

    analysis.

    In this paper, a nite element method for cavitating ows is proposed. The analytical model,which was used for the nite dierence analysis of the bubbly ows in a rotating straight channel

    in a previous paper [11], is modied and applied in the present method. This model largely cor-

    responds to the aforementioned viscous ow model. The governing equations are solved by a -

    nite element method based on a fractional step method [9]. An upwind scheme using an

    exponential weighting function is employed in the nite element formulation to eliminate the nu-

    merical instability due to the advection term. The cavitating ow around a circular cylinder is also

    calculated by the present method. The appearance of cavitation relates closely to the vortex mo-

    tion of the liquid in accordance with experimental observations [12], and the cavitation regions

    calculated almost coincide with those observed in the experiment. Thus, the method is found

    to be indeed applicable to the prediction of cavitating ows.

    2. Basic equations

    2.1. Assumptions

    In a previous paper [11], the bubbly ows in a rotating straight channel were analyzed by the

    nite dierence method using an analytical model proposed by Matsumoto et al. [13]. In the pre-

    sent study, the model is modied and applied to the nite element analysis of cavitating ow. The

    assumptions employed are as follows:

    1. Cavitating ow is a bubbly ow, in which cavitation bubbles disperse uniformly and there is noslip velocity between the bubble and the liquid. This no slip assumption yields an appropriate

    approximation when the bubbles are suciently small.2. The mass and momentum of the bubble are very small and negligible compared with those of

    the liquid.

    3. The liquid is incompressible. This assumption is parallel to that of the Kubota's study [7].

    4. The gases inside the bubble are composed of a vapor and a non-condensable gas. The bubbles

    change isothermally in volume, so the pressure of the vapor is constant. The non-condensable

    gas obeys the perfect gas law, and the mass is conserved. These assumptions mean that the

    liquid and the bubbles ow isothermally without phase change.

    5. The bubbles maintain their spherical shape. This assumption is appropriate when the bubbles

    are small.

    6. Neither fragmentation nor coalescence of the bubble occurs.

    236 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    3/16

    2.2. Governing equations

    The conservation equations for the mass and momentum of the cavitating ow are expressed

    by the following under assumptions (1)(3).

    o

    ot1 a

    o

    oi1 ai 0Y 1

    oi

    ot j

    oi

    oj

    1

    1 aq

    o

    oi

    1

    q

    osij

    ojY 2

    where

    sij loi

    ojoj

    oi

    2

    3dij

    om

    om

    X

    Here the void fraction a is dened with the use of a bubble radius r and a number density of bub-

    ble nb,

    a 4a3pr3nbY 3

    where nb is constant all over the ow eld under assumptions (1) and (6).

    The relationship between the bubble radius r and the static pressure of bubble is expressed by

    the following equation when neglecting the eects of surface tension and viscous damping for sim-

    plicity from the same viewpoint as Kubota's study [7] under assumptions Eqs. (3)(5).

    rD2r

    Dt2

    3

    2

    Dr

    Dt

    2

    1

    qv

    r0

    r

    3g0

    !Y 4

    D

    Dt

    o

    ot j

    o

    ojY

    where r0 and g0 are the bubble radius and the pressure of non-condensable gas inside the bubble

    on the boundary upstream of the calculation domain . The calculations with considering the ef-

    fects of surface tension and viscous damping were also carried out. The numerical results, such as

    the void fraction distributions, were almost the same as those obtained by neglecting the eects.

    The boundary of is postulated to consist of the inlet g0, the wall g1 and the outlet g2.The boundary conditions are assumed to be given as:

    u "u on g0 and g1Ycjdij sij 0 on g2Y

    5

    where the overbar denotes a known value, and cj is the direction cosine of the unit vector normal

    to the boundary with respect to the j axis.

    3. Numerical method

    3.1. Time-integration method

    The governing equations, except for the algebraic equation (3), are solved by a nite element

    method. In this section, the dierence equations are shown to outline the time-integration method.

    The conservation equation of mass, Eq. (1):

    1 an1 1 an

    Dt

    o

    oi1 ann1i 0X 6

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 237

  • 7/27/2019 fem8

    4/16

    The conservation equation of momentum, Eq. (2):

    n1i ni Dt

    nj

    oni

    oj

    1

    1 anq

    on1

    oi

    1

    q

    osnij

    oj !X 7

    The equation governing the change in the bubble radius, Eq. (4):

    rnfn1 fn

    Dt nj

    ofn

    oj

    3

    2fn

    2

    1

    qv

    r0

    rn

    3g0

    n1

    !Y 8

    where

    fn1 rn1 rn

    Dt nj

    orn

    ojX 9

    The void fraction a is obtained from the following equation

    an1 4a3prn13

    nbX 10

    When the ow at a time step t nDt is known, the solution at the next time step t n 1Dtcan be calculated by solving Eqs. (6)(10) simultaneously. For the simultaneous calculation ofEqs. (6) and (7), the following two-step procedure based on a fractional step method [9] is em-ployed.

    In the rst step, the predicted velocity ~i is estimated by the following

    ~i ni Dt

    nj

    onioj

    1

    q

    osnij

    oj

    X 11

    When Eq. (11) is subtracted from Eq. (7), the following equation is obtained:

    n1i ~i 1

    1 anq

    o/

    oiY 12

    where / is a function satisfyingn1 /aDtX 13

    In order to calculate /, the following Poisson equation is derived by substituting Eq. (12) into

    Eq. (6):

    o

    oi

    o/

    oi

    q

    an an1

    Dt

    o

    oi1 an~i

    & 'Y 14

    where the boundary conditions for Eq. (14) are given by the following equations derived fromEq. (5):

    o/aoc 0 on g0 and g1Y/ 0 on g2X

    15

    In the second step, n1i and n1 are calculated by substituting / obtained from Eq. (14) intoEqs. (12) and (13), respectively.

    3.2. Finite element equations

    The calculations in this study correspond to a two-dimensional ow eld. The calculation do-

    main S is divided into quadrilateral elements. Fig. 1 shows an element. The pressure p is dened

    at the center of each element and assumed to be constant within the element. The other variables

    are dened on the vertices (nodes) of the element, and their values in the element are interpolated

    using the shape function xb b 1 $ 4X xb is expressed in local coordinates ni i 1Y 2 as shownin Fig. 1 as follows:

    238 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    5/16

    xb 1 n1n1b1 n2n2ba4 b 1Y 2Y 3Y 4Y 16where ni is dened in a region 1T niT 1Y and nib b 1 $ 4 denotes the ni coordinate of a nodebX

    When applying the Galerkin method to the dierence equations (Eqs. (8), (9), (12)(14)), the

    following nite element equations for each element are obtained:

    wabfn1b wabf

    nb p

    n1aDtY 17

    wabrn1b wabr

    nb p

    n2aDtY 18

    wabn1ib wab~ib p

    n3iaY 19

    n1 a/aaeDtY 20

    uab/b pn

    4aY 21where

    pn1a gabcjn

    jbfnc wab

    3fnb 2

    2rnb

    1

    q

    v

    rnb

    r30g0

    rnb4

    n1

    rnb

    2 34 5Y

    pn2a gabcjn

    jbrnc wabf

    n1b Y p

    n3ia gabci

    /c

    1 anbqY

    pn4a wabanb a

    n1b qaDt abi1 a

    nbq~ibY

    wab

    xaxb dY a

    xa dY gabcj

    xaxb

    oxc

    ojdY uab

    oxa

    oj

    oxb

    ojdX

    Here the void fraction at the node bY ab is calculated by the following:

    ab 4a3prn1b

    3nbX 22

    The nite element equation for Eq. (11) is derived with the use of an upwind scheme of the

    PetrovGalerkin type to eliminate the numerical instability due to the advection term. The up-

    wind scheme using the exponential weighting function W proposed by Kakuda and Tosaka

    [14] is employed in this study. The function W is expressed by

    b e1n1n1b2n2n2bxbY 23

    where 1 and 2 are given by the following, with constants j1 and j2,

    1 j1n1ajujY 2 j2n2ajujX 24

    Fig. 1. Quadrilateral element and local coordinates.

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 239

  • 7/27/2019 fem8

    6/16

    The nite element equation for Eq. (11) in each element is expressed as:

    qab~ib qabnib p

    n5iaDtY 25

    where

    pn5ia eabcjn

    jbnic

    1

    ql hab

    nib h

    iabj

    njb

    2

    3h

    jabi

    nib

    abt

    nib

    !Y

    qab

    axb dY eabcj

    axb

    oxc

    ojdY hab

    oa

    oj

    oxb

    ojdY

    hiabj

    oa

    oj

    oxb

    oidY ab

    axb dgY t

    nib cjs

    nijbX

    The void fraction an1 and the pressure n1 are obtained from Eqs. (10) and (20), respectively.

    The other variables are calculated by the following equations, which are derived by assembling

    the nite element equations for each element over the whole domain:

    Mfn1 Mfn Fn1DtY 26

    Mrn1 Mrn Fn2DtY 27

    Mun1i M~ui Fn3iY 28

    K/ Fn4Y 29

    G~ui Guni F

    n5iDtY 30

    where

    M

    wabY K

    uabY G

    qabY

    Fn1 pn

    1aY Fn2 p

    n2aY F

    n3i p

    n3iaY F

    n4 p

    n4aY F

    n5i p

    n5iaX

    Here

    denotes the assembly over the whole domain.

    3.3. Numerical procedure

    The numerical procedure is as follows:

    1. Suppose the pressure at the time step n 1Yn1, to be equal to that at the step nYn.2. Calculate the bubble radius rn1 from Eqs. (26) and (27) with use of n1.

    3. Calculate the void fraction an1 from Eq. (10) with use of rn1.

    4. Calculate the predicted velocity of the liquid ~u from Eq. (30) with use of un.

    5. Calculate the function / from Eq. (29) with use of an1 and ~u.

    6. Calculate n1 and the liquid velocity un1 from Eqs. (20) and (28), respectively, with use of/.

    7. Calculate the bubble radius ~rn1

    from Eqs. (26) and (27) with use of n1

    .8. When a condition rn1 ~rn1 is achieved in all elements, the ow properties at the time step

    n 1 have been obtained by the above-mentioned calculations. If this condition is not attained,the estimated pressure n1 is increased in the element ifrn1 b ~rn1 or decreased in the elementif rn1 ` ~rn1. Then, the calculations from (1) to (7) are iterated until the condition rn1 ~rn1

    is achieved in all elements. The criterion of convergence is taken as

    jrn1 ~rn1arn1jT 0X1 102.The matrices in the nite element equations, such as wab and gabcj, are calculated by Gaussian

    quadrature, where 2 2 Gauss points are used. The matrices wab and qab are lumped into diag-onal ones in order to save computer memory [15]. An LU decomposition method is used to solve

    Eq. (29).

    240 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    7/16

    4. Numerical results and discussion

    4.1. Calculation condition

    The cavitating ows around a circular cylinder, which were experimentally observed by Sato

    [12], are used for the present calculations. Two kinds of cylinders with diameters D of 5 and

    10 mm are used for the ows of Re 1X52 104 and 2X87 104, respectively, where Re is theReynolds number dened as q0hal, and 0 is the velocity of water upstream of the cylinder.

    Fig. 2 shows the calculation domain and the nite elements. The width of the domain is set

    10D, and the inlet and outlet boundaries are located 5D upstream and 13D downstream of the

    cylinder, respectively. The number of elements is 3528, and the radial dimension of the elements

    on the cylinder surface is 0.005D. The dimensionless time increment 0Dtah is 2X5 104, and the

    constants j1 and j2 in Eq. (24) are set to be 0.4.

    The boundary condition is summarized in Table 1. It is parallel to that used by Kakuda

    and Tosaka [14] for their calculations of the water ow around a circular cylinder. At the inlet

    Fig. 2. Calculation domain and nite elements.

    Table 1

    Boundary condition

    Inlet boundary Uniform ow u1 u0, u2 0, r r0, d//dc 0Outlet boundary Traction free cj(dijp A sij) 0, / 0Cylinder surface No slip u1 u2 0, d//dc 0Channel lateral wall Full slip u2 0, d//dc 0

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 241

  • 7/27/2019 fem8

    8/16

    boundary, an uniform ow is postulated in due consideration of the experimental condition. Atthe outlet, the uid traction is assumed zero, as mentioned in a previous chapter. A no slip con-

    dition is prescribed on the cylinder surface, whereas a full slip condition is assumed on the lateral

    boundaries of the calculation domain. The distributions of the number density and size of bubblenuclei in the experiment are not claried, but it is assumed that the initial bubble radius r0 is

    30 106 m and that the number density of bubbles nb is 4X5 1010 in this calculation.

    In order to examine the eect of the location of the computational domain's boundaries on the

    numerical results, the calculation using a broader domain was also performed, where the width of

    the domain is 15D and the outlet boundary is 20D downstream of the cylinder. The numerical

    results, such as the void fraction distributions, were almost the same as those obtained by using

    the domain shown in Fig. 2. This suggests that the domain in Fig. 2 is appropriate for the present

    computation.

    4.2. Results for non-cavitating conditions

    Before cavitating ows were calculated, the numerical accuracy of the present nite elementmethod was evaluated under non-cavitating conditions. Fig. 3 shows the distributions of the

    water velocity u for Re 1X52 104 and 2X87 104 at a time when the ows are suciently deve-loped under the non-cavitating condition. The ows separated from the cylinder surface generate

    vortices behind the cylinder. The vortices ow downstream of the cylinder. The pressure distribu-

    tions are also indicated in Fig. 3 by the contour lines of the pressure coecient gp. The vortices

    yield low-pressure regions at their centers. The Strouhal number fha0 estimated from the vortexshedding frequency f is 0.24 for both Reynolds numbers, which is slightly larger than the mea-

    sured one (.0.2).

    Fig. 3. Distributions of velocity and pressure in water under non-cavitating conditions (interval between contour lines of

    Cp is 0.2). (a) Re 1.52 104, (b) Re 2.87 104.

    242 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    9/16

    The generation and shedding of the vortices make the ow around the cylinder unsteady, so thedrag coecient gD and the lift coecient gL of the cylinder change as functions of time tas shownin Fig. 4. The abscissa is the dimensionless time t 0tah. The time when the fully developedow is obtained is set to be t 0. The frequency ofgL coincides with that of the vortex sheddingfor both Reynolds numbers.

    Fig. 5 shows the relationship between the time-averaged value of gD and Re. The present re-

    sults at Re 1X52 104 and 2X87 104 are slightly larger than the measured ones. But, they canbe considered to be satisfactory when compared to the results obtained with a nite dierence

    method [16] and a nite element method [14]. This indicates that the value for j1 and j2Y 0.4, usedin the present upwind scheme is appropriate.

    The distributions of the time-averaged values ofgp on the cylinder surface at Re 1X52 104

    and 2X87 104 are indicated in Fig. 6, where h is the azimuthal angle measured from the frontstagnation point of the cylinder. The relation gp 1 is satised at h 0Y and gp decreases mo-notonously with an increment in hX gp reaches a minimum at h 74 and remains almost unal-

    tered in range of hP 90 due to the ow separation for both Reynolds numbers. The changein gp against h agrees approximately with the measured result Re 1X33 10

    4 indicated bythe broken line in Fig. 6, though the calculated values are slightly lower than the measured ones

    except near the front stagnation point.

    4.3. Results for cavitating conditions

    When the pressure upstream of the cylinder, 0Y and hence the cavitation number, rY aredecreased at a constant Reynolds number, Re, a region of high void fraction, aY that is a cavity,

    Fig. 4. CD and CL under non-cavitating conditions.

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 243

  • 7/27/2019 fem8

    10/16

    appears locally. The ow oscillates with almost a constant period under such cavitating condi-

    tions.

    Fig. 7 shows the distributions of the void fraction a at four times in the oscillation period, forRe 1X52 104 and r 3X6. The ow eld at t 0 corresponds to the fully developed one undernon-cavitating conditions. In this study, the cavity is dened as a region where a is more than 0.01

    and indicated by the contour lines ofa. The interval between the contours is 0.02. Cavities appearon the cylinder surface as shown in Fig. 7(a). In Fig. 7(b), one of them grows on the cylinder sur-

    face, and the others move away from the cylinder while their a values decrease. A cavity is ob-

    served just behind the cylinder as shown in Fig. 7(c). Part of it grows abruptly into a very

    large-scale cavity (darkened area) as seen in Fig. 7(d), where the maximum value ofa is 0.81.

    Fig. 8 shows the distributions of water velocity at each of the four times shown in Fig. 7. The

    ows separated from the cylinder surface generate vortices behind the cylinder. The cavitation re-

    gions shown in Fig. 7 almost coincide with the regions in which the vortices occur. This is because

    Fig. 6. Distribution of Cp on cylinder surface under non-cavitating conditions.

    Fig. 5. Relationship between time-averaged CD and Re under non-cavitating conditions.

    244 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    11/16

    the bubble volume expands in the center of the vortex, where the pressure reaches a minimumvalue. It is found that the aforementioned advection of the cavity is caused by the motion of

    the vortices. The present numerical result that the appearance of the cavitation relates closely

    to the vortex motion of the water in the sheared layer is in good agreement with experimental ob-

    servations [12].

    The time-averaged distribution of a for the above-mentioned cavitating ow

    Re 1X52 104Y r 3X6 is shown in Fig. 9(a), where only the upper half region around the cyl-inder is displayed utilizing the symmetrical distribution. A cavity region ofaP 0.01 appears near

    the separation point on the cylinder surface and behind the cylinder. The maximum value ofa is

    0.067.

    Fig. 9(b) shows the distribution of cavitation bubbles observed by Sato [12] using a CCD video

    camera (30 frames/s) synchronized with a stroboscopic light (ash period 4 ls), where Re is thesame as in Fig. 9(a) and 3.06TrT 3.61. The value of x is the total number of pictures taken by

    the camera, and n denotes the number of pictures in which the bubbles exist. Bubbles are observed

    in the cavitation region calculated in Fig. 9(a). They are also observed downstream of this region,

    suggesting that the observed cavitation region is larger than the calculated one. This discrepancy

    may be due to the fact that the value ofr in the calculation, r 3X6, corresponds to the upperboundary ofr for the observation (3.06TrT 3.61), and also because the distributions of the ini-

    tial radius, r0, and number density, nb, of the bubble are disregarded. It should also be mentioned

    that the bubble deformation, fragmentation and coalescence occur behind the cylinder in the Sa-

    to's experiment. Thus, it is necessary to take account of such bubble behaviour in the recirculation

    zone in order to improve the computational accuracy.

    Fig. 7. Distribution of a (Re 1.52 104, r 3.6, interval between contour lines is 0.02).

    Fig. 8. Velocity distribution in water (Re 1.52 104, r 3.6).

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 245

  • 7/27/2019 fem8

    12/16

    Fig. 10 shows the distributions of a at Re 2X87 104 and r 3X7. In Figs. 10(a) and (b),cavities appear in the vicinity of the cylinder surface. A large-scale cavity with a high value of

    a is observed behind the cylinder in Fig. 10(c). The maximum value ofa is 0.72. In Fig. 10(d), thiscavity ows downstream with a rapid decrease in a.

    The water velocity distributions for Fig. 10 are shown in Fig. 11. The cavitation regions in

    Fig. 10 almost coincide with the areas in which vortices occur, just as in Figs. 7 and 8.

    Fig. 12(a) shows the time-averaged distribution ofa for the above-mentioned cavitating ow

    Re 2X87 104Y r 3X7. A cavity region calculated behind the cylinder almost coincides with

    Fig. 10. Distribution ofa (Re 2.87 104, r 3.7, interval between contour lines is 0.02).

    Fig. 9. Distribution of time-averaged a (Re 1.52 104). (a) Present calculation (r 3.6), (b) Experimental observation(3.06TrT 3.61).

    246 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250

  • 7/27/2019 fem8

    13/16

    the observed region of 2 T n T 6 shown in Fig. 12(b), where the observation was conducted at

    Re 2X87 104 and 3X62 T r T 4X11.When the value ofr is decreased from 3.7 to 3.4 at the same Reynolds number as in Fig. 12, the

    time-averaged value ofa is as shown in Fig. 13(a). In comparison with Fig. 12(a), the cavitation

    region expands and the value of a increases. The maximum value of a is 0.089. This cavitation

    region behind the cylinder is in good agreement with the region where the value ofn is quite large

    11 T n T 25 shown in Fig. 13(b).

    Fig. 11. Velocity distribution in water (Re 2.87 104, r 3.7).

    Fig. 12. Distribution of time-averaged a (Re 2.87 104). (a) Present calculation (r 3.7), (b) Experimental observa-tion (3.62TrT 4.11).

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 247

  • 7/27/2019 fem8

    14/16

  • 7/27/2019 fem8

    15/16

    References

    [1] T.Y. Wu, A wake model for free-stream ow theory, Part 1: Fully and partially developed wake ows and cavity

    ows past an oblique at plate, J. Fluid Mech. 13 (1962) 161181.

    [2] Y. Tsujimoto, A.J. Acosta, C.E. Brennen, Analyses of the characteristics of a centrifugal impeller with leading

    edge cavitation by mapping methods, Trans. JSME, 52480 B (1986) 29542962.

    [3] R.A. Furness, S.P. Hutton, Experimental and technical studies of two-dimensional xed-type cavities, Trans.

    ASME J. Fluids Eng. 97 (1975) 515522.

    [4] H. Yamaguchi, H. Kato, On application of nonlinear cavity ow theory to thick foil sections, Proceedings of the

    Conference on Cavitation, Edinburgh, IME, 1983, pp. 167174.

    [5] H. Nishiyama, T. Ota, Hydrodynamic responses of centrifugal impeller with leading edge cavitation to oscillating

    inlet ows, Proceedings of the International Symposium on Cavitation, Sendai, 1986, pp. 121126.

    [6] H. Lemonnier, A. Rowe, Another approach in modelling of cavitating ows, J. Fluid Mech. 195 (1988) 557580.

    Nomenclature

    g boundary of

    gD drag coecient of circular cylinder pDaq20ha2gL lift coecient of circular cylinder pLaq

    20ha2

    gp pressure coecient 0aq20a2

    h diameter of circular cylinder

    pD drag force acting on circular cylinder

    pL lift force acting on circular cylinder

    xb shape function

    nb number density of bubbles

    pressure

    v saturated vapor pressure

    r radius of bubble

    Re Reynolds number q0hal calculation domain

    t time

    t dimensionless time 0tahu velocity of liquid-phase

    x orthogonal coordinates

    a void fraction

    h azimuthal angle from front stagnation point of circular cylinder

    l viscosity of liquid-phase

    n local coordinates

    q density of liquid-phase

    r cavitation number 0 vaq20a2

    / function

    Subscripts0 upstream boundary

    i, j component in direction of i or j

    Superscript

    n time step

    T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250 249

  • 7/27/2019 fem8

    16/16

    [7] A. Kubota, H. Kato, H. Yamaguchi, A new modelling of cavitating ows: A numerical study of unsteady

    cavitation on a hydrofoil section, J. Fluid Mech. 240 (1992) 5996.

    [8] M. Shimada, T. Kobayashi, Y. Matsumoto, Numerical analysis of the ow in the fuel injection pump for diesel

    engine, Proceedings of the Cavitation and Multiphase Flow Forum, FED-210, ASME, 1995, pp. 111114.[9] J. Donea, S. Giuliani, H. Laval, L. Quartapelle, Finite element solution of the unsteady NavierStokes equations

    by a fractional step method, Comp. Meth. Appl. Mech. Eng. 30 (1982) 5373.

    [10] M. Ikegawa, C. Kato, K. Tsuzuki, Three-dimensional turbulent ow analysis in a cleanroom by the nite element

    method, FED-66, ASME, 1988, pp. 161167.

    [11] T. Uchiyama, K. Minemura, T. Emura, J.C. Wu, Numerical simulation of bubbly ows in a rotating straight

    channel, Proceedings of the International Symposium on Fluid Machinery and Fluid Engineering, Beijing, 1996,

    pp. 131138.

    [12] K. Sato, Inception characteristics of cavitation in a circular cylinder: Especially in subcritical ow range,

    Proceedings of the Cavitation and Multiphase Flow Forum, FED109, ASME, 1991, pp. 97100.

    [13] Y. Matsumoto, S. Takagi, H. Ohashi, Bubble driven plumes in the aeration tank with free surface, Proceedings of

    the International Conference on Multiphase Flows, vol. 2, Tsukuba, (1991) 405408.

    [14] K. Kakuda, N. Tosaka, Numerical simulation of high Reynolds number ows by PetrovGalerkin nite element

    method, J. Wind Eng. and Ind. Aerodyn. 46 & 47 (1993) 339347.

    [15] P.M. Gresho, R.L. Lee, R.L. Sani, Advection-dominated ows, with emphasis on the consequences of masslumping, Finite Elements in Fluids 3 (1978) 335350.

    [16] T. Tamura, K. Kuwahara, Direct nite dierence computation of turbulent ow around a circular cylinder,

    Numer. Methods in Fluid Dynamics 2 (1989) 645650.

    250 T. Uchiyama / Appl. Math. Modelling 22 (1998) 235250