Fluent Multiphase 16.0 L04 Gas Liquid Flows

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  • 1 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    16.0 Release

    Lecture 4:

    Gas-Liquid Flows

    Multiphase Modeling using

    ANSYS Fluent

  • 2 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Outline Introduction

    Conservation equations

    Modelling strategies : Euler-Lagrangian and Eulerian

    Interfacial Forces

    Drag Non-Drag Forces Turbulence Interaction

    Mixture Model

    Validation example

  • 3 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Gasliquid flows occur in many applications. The motion of bubbles in a liquid as well as droplets in a conveying gas stream are examples of gasliquid flows

    Bubble columns are commonly used in several process industries

    Atomization to generate small droplets for combustion is important in power generation systems

    Introduction

    Bubble Column

    Rain/Hail Stones

    Spray Drying

    Distillation Process

    Absorption

    Process

    Boiling Process

    Combustion

  • 4 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Why Study Gas-Liquid Flows

    The main interests in studying gas-liquid flows, in devices like bubble columns or stirred tank reactors, are:

    Design and scale-up

    Fluid dynamics and regime analysis

    Hydrodynamic parameters

  • 5 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Bubble Columns

    To design bubble column reactors, the following hydrodynamic parameters are required:

    Specic gasliquid interfacial area ()

    Sauter mean bubble diameter, ()

    Axial and radial dispersion coefcients of the gas and liquid, ()

    Heat and mass transfer coefcients, (, )

    Gas holdup, ()

    Physicochemical properties of the liquid medium, (, )

  • 6 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Two types of ow regimes are commonly observed in bubble columns:

    The bubbly flow regime, Gas velocity < 5cm/s

    Bubbles are of relatively uniform small sizes (db =2 to 6 mm)

    Rise velocity does exceed 0.025m/s

    Holdup shows linear dependence with the flow

    Regime Analysis < . < . /

  • 7 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    The churn turbulent flow regime Gas velocity > 5cm/s

    Bubble are Large bubbles ( > ) and show wide size distribution

    Rise velocity is in the range of 1-2m/s

    Regime Analysis > . > . /

    Most frequently observed flow regime in industrial-size, large diameter columns

  • 8 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Photographic Representation of Bubbly and Churn-Turbulent Flow Regimes

    Bubbly Flow Regime Churn Turbulent Flow Regime

  • 9 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Design and Scale-up of Bubble Column Reactors

    Bubble have significant effect on hydrodynamics well as heat and mass transfer coefcients in a bubble columns

    The average bubble size and rise velocity in a bubble column is found to be affected by:

  • 10 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    In this approach, a single set of conservation equations is solved for a continuous phase

    The dispersed phase is explicitly tracked by solving an appropriate equation of motion in the lagrangian frame of reference through the continuous phase flow field

    The interaction between the continuous and the dispersed phase is taken into account with separate models for drag, and non-drag forces

    Euler-Lagrangian Method

    Eulerian Cell

    Gravity

    Buoyancy

    Liquid Flow

  • 11 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Eulerian Approach

    In the Eulerian approach, both the continuous and dispersed phases are considered to be interpenetrating continua

    The Eulerian model describes the motion for each phase in a macroscopic sense

    The flow description therefore consists of differential equations describing the conservation of mass, momentum and energy for each phase separately

  • 12 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Conservation Equations

    Continuity equation:

    Momentum equation:

    sDrag ForceNon

    ForceDispersionTurbulent

    td,q

    ForcessVirtual Ma

    vm,q

    ForcecationWall Lubri

    wl,q

    ForceLift

    lift,q

    Forceexternal

    q

    n

    p

    sDrag Force

    fermass trans

    qpqppqpq

    l ForceInterfacia

    qppq

    Bouyancy

    qq

    Friction

    q

    essure

    qqqqqqq

    FFFFF

    vmvmvvK gpvvt 1

    Pr

    2

    source

    q

    transfermass

    n

    p

    qppqqqqqq Smmvt

    1

  • 13 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    A key question is how to model the inter-phase momentum exchange

    This is the force that acts on the bubble and takes into account:

    Effect of multi-bubble interaction

    Gas holdup

    Turbulent modulation

    Turbulent Dispersion

    Turbulent Interaction

    Interphase Momentum Exchange

    Interphase Momentum

    Exchange

    Drag

    Lift

    Turbulent Dispersion

    Turbulent Interaction

    Virtual Mass

  • 14 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    We can think of drag as a hydrodynamic friction between the liquid phase and the dispersed phase

    We can also think of drag as a hydrodynamic resistance to the motion of the particle through the water. The source of this drag is shape of particle

    Drag Force

  • 15 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Force

    For a single spherical bubble, rising at steady state, the drag force is given by:

    For a swarm of bubbles the drag, in absence of bubble-bubble interaction, is given by:

    4

    3

    2

    63,

    qpqp

    p

    q

    D

    p

    qpqpq

    pD

    p

    p

    DswarmD

    vvvvd

    C

    vvvvACd

    NFF

    qpqpq

    pDD vvvvACF velocitysliptcoefficien drag

    2

  • 16 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Force

    In order to ensure that the interfacial force vanishes in absence any dispersed phase, the drag force needs to multiplied by as shown:

    In Fluent

    4

    3, qpqp

    p

    q

    D

    qp

    swarmD vvvvd

    CF

    24

    ReC

    6

    18

    6

    18

    D

    2

    2,

    qpi

    p

    pp

    q

    pp

    qpi

    p

    pp

    q

    ppqppqswarmD

    vvAd

    d

    vvfAd

    dvvKF

    = Interfacial Area Density, m2/m3

  • 17 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Force

    To estimate the drag force bubble diameter, ,is needed

    The is often taken as the mean bubble size

    For bubble columns operating at low gas superficial velocities (< 5 cm/s) works reasonably well

    For bubble columns operating at higher gas superficial velocities (> 5 cm/s), bubble breakup and coalesce dominate and bubble size is no longer uniform and mean bubble size approach may not be adequate

  • 18 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    The drag coefficient is likely to be different for a single bubble and a bubble swarm. This is because the shape and size of a bubble in a swarm is different than that of an isolated bubble

    When the bubble size is small ( < 1mm in water): bubble is approximately spherical

    When the bubble size is large ( > 18mm in water): bubble is approximately a spherical cap

    When the bubble of intermediate size: bubbles exhibit complex shapes

    Drag Coefficient Water Glycerol /

  • 19 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    We can use the Eotvos number () together with the Morton number () to characterize the shape of bubbles or drops moving in a surrounding fluid or continuous phase

    Number Ratio of bouncy force and surface tension force and

    essentially gives a measure of the volume of the bubble

    Number Ratio of physical properties

    Constant for a given incompressible two-phase system. Water has a Morton number of .

    Bubble Shape

    2pgdEo

    32

    4

    q

    qgMo

    Lorond Eotvos

    3mm air bubble rising in tap water

    Bubble Regime Map

  • 20 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Laws for Small and Constant Bubble Sizes

    At low flow rates bubbles assume an approximately spherical shape while they rise in a rectilinear path

    Schiller and Naumann (1978)

    Morsi and Alexander (1972)

    Symmetric Drag Model: The density and the viscosity are calculated from volume averaged properties and is given by

    Schiller Naumann model

    1000 Re :for 44.0C

    1000 Re :for Re15.01Re

    24C

    D

    687.0

    D

    2

    321D

    ReReC

    aaa

    q

    pqpq dvv

    Re

    When Reynolds number is small ( < 1) these correlations essentially reduce to the well known Stokes drag law =

    24

  • 21 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    For all other flow rate, bubble size and shapes varies with the flow

    Consequently, different drag correlations are needed

    Several drag correlation are found in literature Grace drag law

    Tomiyama drag law

    Universal drag law

    Drag Laws for Variable Bubble Sizes Larger bubbles - ellipsoidal

    As bubble size increases, spherical caps may be formed

  • 22 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Terminal Rise Velocity for Bubbles The drag correlations for

    large bubbles are very different from those for spherical particles

    Grace Correlation

    Spherical Bubble Correlation

  • 23 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Bubble Regimes

    Viscous and inertial forces are important

    the function is given by an empirical correlation e.g. SN

    Viscous Regime

    Bubbles follow zig-zag paths

    is proportional to the size of bubble

    is independent of viscosity

    Distorted Bubble Regime

    Drag coefficient Reaches a constant value Cap Regime

    .C .D

    44.0,Re1501

    Re

    24max 6870

    gdC pD

    3

    2,

    3

    8DC

    The drag coefficient on the Reynolds number decreases with increasing values of the Reynolds number

  • 24 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Flow regime automatically determined from continuity of drag coefficient

    Automatic Regime Detection

    The determined by choosing minimum of vicious regime and capped regime

    CCCCCCCC

    distortedDviscousDDdistortedDviscousD

    viscousDdistortedDviscousD

    ,,,,

    ,,,

    ,min

    3cm/s

    35cm/s

  • 25 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Laws for Variable Bubble Sizes

    Universal Drag Law (for Bubbly Flow) Viscous regime

    Distorted regime

    Capped regime

    As the bubble size increases the bubble become spherical caped shaped

    )1( 67.18

    67.171

    3

    2 1.52

    7/6

    ppD ff

    fgdC

    -13

    8C

    2

    pD

    1

    ReRe101Re

    24 750

    ;

    dvv; .C

    p

    q

    e

    e

    ppqq.

    D

  • 26 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Laws for Variable Bubble Sizes

    Grace Drag Law The flow regime transitions between the viscous and distorted particle flow and can

    expressed as follows.

    Viscous regime

    Distorted regime

    Capped regime

    /10x9, 3

    4H

    59.3H ,42.3

    59.3H2 ,94.0

    )857.0( 3

    4

    4

    0.14-

    ref

    149.0

    441.0

    757.0

    149.0

    q

    q

    2

    mskgEoMo

    H

    HJ

    JMod

    vv

    gdC

    ref

    q

    p

    t

    tq

    pD

    Re15.01Re

    24C 687.0D

    3

    8C D

  • 27 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Drag Laws for Variable Bubble Sizes

    Tomiyama Model (1998)

    Like the Grace et al model and universal drag model the Tomiyama model is well suited to gas-liquid flows in which the bubbles can have a range of shapes

    43

    8,

    Re

    72),Re15.01(

    Re

    24minmax 687.0

    Eo

    EoC

    p

    D

    Viscous Regime

    Distorted Regime

    Cap Regime

  • 28 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Non-Drag Forces For gasliquid flows, non-drag forces have a profound influence on the flow characteristics,

    especially in dispersed flows

    Bubbles rising in a liquid can be subject to a additional forces including:

    Lift Force

    Wall Lubrication Force

    Virtual Mass Force

    Turbulence Dispersion Force

  • 29 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Lift Force When the liquid flow is non-uniform or rotational, bubbles experience a lift force

    This lift force depends on the bubble diameter, the relative velocity between the phases, and the vorticity

    and is given by the following form

    The lift coefficient, , often is approximately constant in inertial flow regime ( < < ), Following the recommendations Drew and Lahey, it is

    set to 0.5

    Lift forces are primarily responsible for inhomogeneous

    radial distribution of the dispersed phase holdup and could be important to include their effects in CFD simulations

    qpqqpLlift vvvCF

  • 30 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Saffman and Mei developed an expression for lift force constant by combining the two lift forces:

    Classical aerodynamics lift force resulting from interaction between bubble and liquid shear

    Lateral force resulting from interaction between bubbles and vortices shed by bubble wake

    Lift Coefficients: Saffman Mei Model

    100Re40 :for ;2

    Re0.0524

    40 Re :for ;Re

    Re

    2

    13314.0

    Re

    Re

    2

    10.3314-1

    46.6C

    Re;Re2

    3C

    Re)1.0(

    '

    L

    2

    '

    L

    e

    dC q

    q

    pq

    L

    Suitability Mainly spherical rigid particles Could be applied to small liquid

    drops

    Shear Lift Force Vorticity induced Lift Force

  • 31 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Lift Coefficients: Moraga et al Model

    Moraga et al. (1999) proposed an al alternative expression for the lift coefficient that correlated with the product of bubble and shear Reynolds numbers

    7

    73

    ReRe

    36000

    ReRe

    L

    105ReRe63530

    105ReRe6000 20120

    6000ReRe07670

    C7

    e

    for .-

    for ee..

    for .

    Suitability Mainly spherical rigid particles Could be applied to small liquid

    drops

  • 32 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Lift Coefficients: Legendre and Magnaudet Model

    Legendre and Magnaudet proposed an expression for the lift coefficient that is a function of bubble Reynolds number and dimensionless shear rate

    This model accounts of induced circulation inside bubbles

    q

    q

    pq

    highL

    lowL

    highLlowL

    dJ

    C

    JSrC

    CC

    2

    2

    32

    '

    1

    1

    Re,

    '5.0

    2Re,

    2

    Re,

    2

    Re,L

    Re ,Re

    Re

    2

    1 ,

    Re

    2 ,

    1.01

    255.2

    Re291

    Re161

    2

    1

    Re 6

    12Sr , 500Re0.1for ,C

    Suitability Mainly small spherical bubbles

    and liquid drops

  • 33 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Tomiyama et al correlated the lift coefficient for larger bubbles with a modified Etvs number and accounts for bubble deformation

    Lift Coefficients Tomiyama Model

    g ,163.01 ,

    g

    0.4740.0159-0.00105

    Eo10 27.0

    10Eofor

    4Eofor Re,121.0tanh288.0min

    C

    2

    q3

    1757.0

    2

    q'

    2'3''

    '

    ''

    ''

    L

    pp

    pH

    Hp dEoEodd

    dEo

    EoEoEof

    Eof

    Eof

    Suitability All shape and size of bubble

    and drops

    Dependence of lift coefficient on bubble diameter

  • 34 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    This is a force that prevents the bubbles from touching The main effect of this force is to ensure zero void

    fraction (found experimentally) near vertical walls

    Wall lubrication force is normally correlated with slip velocity and can be expressed as force is defined as:

    Wall Lubrication Force

    wqpqpWLWL nvvCF||

    gas void fraction

    Slip velocity component parallel to the wall

  • 35 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Wall Lubrication Coefficient: Antal et al Model

    Antal et al. (1991) proposed a wall lubrication force coefficient according to:

    Only active in thin region near wall where:

    As a result, the Antal model will only be active on a sufficiently fine mesh

    llnearest wa todistance

    05.0

    01.0

    ,0max

    2

    1

    21

    w

    W

    W

    w

    W

    p

    WWL

    y

    C

    C

    y

    C

    d

    CC

    bb

    W

    Ww dd

    C

    Cy 5

    1

    2

    Suitability Mainly small bubbles Requires Fine Mesh

  • 36 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Wall Lubrication Coefficient: Tomiyama Model

    Modified the Antal model for special case of pipe flow and accordingly:

    Coefficients were developed on a single air bubble in a glycerol solution but results have been extrapolated to air-water system

    Depends on Eotvos number, hence accounts for dependence of wall lubrication force on bubble shape

    eter Pipe DiamD

    Eo for .

    Eofor .Eo.

    Eo for e

    o for E .

    C

    yDy

    dCC

    .Eo.

    W

    ww

    p

    WWL

    331790

    33501870005990

    51

    1470

    11

    2

    17909330

    22

    Suitability Viscous Fluids and all bubble size and shapes Could be used for low air-water system

  • 37 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Wall Lubrication Coefficient: Frank Model

    Generalised Tomiyama model to be geometry independent Model constants calibrated and validated for bubbly flow in vertical pipes

    1.7m

    6.8llnearest wa toDistance

    331790

    33501870005990

    51

    1470

    11

    ,0max

    17909330

    1

    WD

    .Eo.

    W

    m

    bWC

    ww

    bWC

    w

    WD

    WWL

    C

    Eo for .

    Eofor .Eo.

    Eo for e

    o for E .

    C

    dC

    yy

    dC

    y

    CCC

    Suitability Viscous Fluids and all bubble size and

    shapes in vertical pipe flows Could be used for low air-water system

  • 38 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Wall Lubrication Coefficient: Hosokawa Model

    Hosokawa et al. (2002) investigated the influence of the Morton number and developed a new correlation for the coefficient:

    Includes the effects of Eotvos number and bubble relative Reynolds number on the lift coefficient

    EoCWL 0217.0,

    Re

    7max

    9.1

    Suitability All bubble size and shapes Could be used for low air-water system

  • 39 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    The turbulent dispersion force accounts for an interaction between turbulent eddies and particles

    Results in a turbulent dispersion and homogenization of the dispersed phase distribution

    The simplest way to model turbulent dispersion is to assume gradient transport as follows:

    Turbulent Dispersion forces

    turb.

    dispersion

    force

    fluid vel.

    gas void fraction pqqTDTD kCF

  • 40 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Turbulent Dispersion Models

    Lopez de Bertodano Model, Default CTD = 1 CTD = 0.1 to 0.5 good for medium sized bubbles in ellipsoidal flow regime. However, CTD up to 500

    required for small bubbles

    Burns et al. Model Default CTD = 1 The defaults value of CTD are appropriate for bubbly flows

    Simonin Model Default CTD = 1 Same as Burns et al. Model

    Diffusion in VOF Model Instead of modelling the turbulent dispersion as an interfacial momentum force in the phase

    momentum equations, we can model it as a turbulent diffusion term in the phasic continuity equation

  • 41 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Turbulence in bubbly flows are very complex due:

    Bubble-induced turbulence

    Interaction between bubble-induced and shearinduced turbulences

    Direct interaction between bubbles and turbulence eddies and

    Turbulence Dispersion Models in Fluent Sato

    Simonin

    Only available when dispersed and per phase turbulence models are enabled

    Troshko and Hassan

    Alternative to Simonin Model

    Turbulent Interaction

  • 42 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    The virtual mass force represents the force due to inertia of the dispersed phase due to relative acceleration

    Large continuous-dispersed phase density ratios, e.g. bubbly flows

    Transient Flows can affect period of oscillating bubble plume.

    Strongly Accelerating Flows e.g. bubbly flow through narrow constriction.

    Virtual Mass Force

    5.0;

    VM

    pq

    qpVMvm CDt

    vD

    Dt

    vDCf

    Dip your palms into the water and slowly bring them together. Such a movement will

    require small effort. Now try to clap your hands frequently. The speed of hands now is

    low and will require considerable effort

  • 43 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Mixture Multiphase Model

  • 44 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Introduction

    The mixture model, like the Eulerian model, allows the phases to be interpenetrating. It differs from the Eulerian model in three main respects:

    Solves one set of momentum equations for the mass averaged velocity and tracks volume fraction of each fluid throughout domain

    Particle relaxation times < 0.001 - 0.01 s

    Local equilibrium assumption to model algebraically the relative velocity

    This approach works well for flow fields where both phases generally flow in the same direction and in the absence of sedimentation

  • 45 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Underlying Equations of the Mixture Model

    Solves one equation for continuity of mixture

    Solves one equation for the momentum of the mixture

    Solves for the transport of volume fraction of each secondary phase

    0

    mm

    m ut

    rkrkkn

    k

    km

    T

    mmmmmm uuFguupuut

    u

    1

    eff

    ).().()( rpppmpppp uut

  • 46 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Constitutive Equations

    Average density

    Mass weighted average velocity

    Drift velocity

    Slip Velocity

    Relation between drift and slip velocities

    n

    kkkm

    1

    m

    n

    k kkk

    m

    uu

    1

    mk

    r

    k uuu

    qppq uuu

    qk

    n

    k m

    kkpq

    r

    k uuu

    1

  • 47 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Relative Velocity

    If we assume the particles follows the mixture flow path, then, the slip velocity between the phases is

    In turbulent flows, the relative velocity should contain a diffusion term in the momentum equation for the disperse phase. FLUENT adds this dispersion to the relative velocity as follows:

    q

    Dp

    m

    p

    mpp

    pqf

    au

    drag

    p

    mpvpq

    f

    au

    drag

    t

    uuuga mmm

  • 48 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    16.0 Release

    Validation of the Multiphase Flow in

    Rectangular Bubble Column

  • 49 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Investigate air-water bubbly flow in a rectangular bubble column as investigated at HZDR by Krepper et al., Experimental and numerical studies of void fraction distribution in rectangular bubble columns, Nuclear Engineering and Design Vol. 237, pp. 399-408, 2007

    Validation of Momentum Exchange Models for disperse bubbly flows accounting: Drag force

    Lift force

    Turbulent dispersion

    Turbulence Interaction

    Turbulence models

    Objectives

  • 50 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Duct Dimensions: Height: 1.0 m

    Width: 0.1 m

    Depth: 0.01 m

    Bubbles are introduced at the bottom LW 0.020.01 m

    Computational Geometry

    Outlet: Degassing or Pressure Outlet

    Inlet: Velocity or mass inlet

  • 51 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Fluid Materials and Phase Setup

    Phases Setup

    Phase Specification Primary Phase: water (Material: water) Secondary Phase: gas bubble (diameter: 3mm with Material: air)

    Phase Interaction Drag: Grace Drag Force Lift: Tomiyama lift force Wall Lubrication: Antal et al (default coeff.) Turbulent Dispersion Burns et al. (cd=0.8) Turbulent Interaction Sato Model (default coeff.) Surface Tension Coeff.: 0.072

    Materials Setups

    Gas Bubble FLUENT Fluid Materials: air

    Water FLUENT Fluid Materials: water-liquid (h2o)

  • 52 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Boundary Conditions

    Boundary Patch Properties

    Inlet

    Type: Mass flow inlet Gas Bubble: 2.37E-05 kg/s Gas Volume Fraction (VF): 1.0 Turbulence Intensity 10% Viscosity Ratio 10 Water: mass flow rate: 0 kg/s Water VF: 0.0

    Outlet

    Type: Degassing Degassing outlet: Symmetry for water Sink for air

    Walls

    No Slip

  • 53 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Solution Methods and Control

    Solution Methods

    Pres.-Vel. Coupling Coupled Scheme

    Spatial Discretization Gradient: Least Squared Cell Based Momentum: QUICK Volume Fraction: QUICK TKE: 1st Order Upwind

    Transient Formulation Bounded 2nd Order Implicit

    Solution Controls

    Courant No. 200

    Explicit Relax. Factors Momentum: 0.75 Pressure: 0.75

    Under-Relax. Factors Density: 1 Body Forces: 0.5 Volume Fraction: 0.5 TKE: 0.8 Specific. Diss. Rate: 0.8 Turb. Viscosity: 0.5

  • 54 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Instantaneous Gas Volume Fraction

    Gas volume fraction at 25s, 35s, 45s

    k-SST-Sato k- Troshko-Hassan

    Gas volume fraction at 20s, 30s

  • 55 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Turbulence Validation, Sato Model

    Mean gas volume fraction distribution at plane y=0.63m

    Mean gas volume fraction distribution at plane y=0.08m

  • 56 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Turbulence Validation, Troshko-Hassan Model

    Mean gas volume fraction distribution at plane y=0.63m

    Mean gas volume fraction distribution at plane y=0.08m

  • 57 2015 ANSYS, Inc. April 24, 2015 ANSYS Confidential

    Summary and Conclusions

    It was found that the most appropriate drag which is in good accordance with the measurements is the Grace Drag law

    The k- turbulence model combined with the Sato Model reproduced well the experiments with no fundamental differences to the k- SST plus the Sato Model. This may indicate that the bubble induced turbulence is quite significant in this bubble column

    The Troshko-Hassan k- turbulence model performed well, particularly near the injection point, a region of interest as it seemed to be problematic when the validations were carried out with ANSYS CFX using k- SST plus the Sato Model

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    Numerical Schemes and Solution Strategies

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    Numerical schemes for multiphase flows

    Three algorithms available for solving the pressure-velocity coupling Phase coupled SIMPLE (PC-SIMPLE)

    Pressure Coupled (Volume Fraction solved in a segregated manner)

    Full multiphase coupled (Volume Fraction solved along with pressure and momentum)

    A possibility of solving all primary and secondary phase volume fractions directly rather than solving only the secondary phases directly

    Ability to use the Non-Iterative Time Advancement (NITA)

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    Multiphase coupled solver Simultaneous solution of the equations of a multiphase system offers a more robust

    alternative to the segregated approach

    Can be extended to volume fraction correction (Full multiphase coupled)

    For steady state problems the coupled based methodology is more efficient than segregated methodology

    For transient problems the efficiency is not as good as for steady, particularly for small time steps. Solver efficiency increases with increase in time steps used for discretization of the transient terms.

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    Solution controls for PC-SIMPLE Conservative solution control settings are shown

    If convergence is slow, try reducing URFs for volume fraction and turbulence

    Tighten the multi-grid settings for pressure (lower it by two orders of magnitude). Default is 0.1

    Use gradient stabilization (BCGSTAB)

    Try using F (or W) cycle for pressure

    Solution Strategies

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    For steady state problems using coupled multiphase solver is effective

    Use lower courant numbers for steady state and higher URFs for momentum and pressure

    Recommended values

    Courant number = 20

    URF pressure and momentum = 0.5 - 0.7

    URF volume fraction = 0.2 - 0.5

    For transient problems the efficiency of coupled not as good as for steady, particularly for small time steps.

    Use larger time steps and high courant numbers (1E7) for coupled solvers and high URFs (> 0.7)

    Solution Strategies