SlideShare a Scribd company logo
1 of 12
Download to read offline
Chapter 18. Introduction to Modeling
Multiphase Flows


 A large number of flows encountered in nature and technology are a mix-
 ture of phases. Physical phases of matter are gas, liquid, and solid, but
 the concept of phase in a multiphase flow system is applied in a broader
 sense. In multiphase flow, a phase can be defined as an identifiable class
 of material that has a particular inertial response to and interaction with
 the flow and the potential field in which it is immersed. For example,
 different-sized solid particles of the same material can be treated as dif-
 ferent phases because each collection of particles with the same size will
 have a similar dynamical response to the flow field.
 This chapter provides an overview of multiphase modeling in FLUENT,
 and Chapters 19 and 20 provide details about the multiphase models
 mentioned here. Chapter 21 provides information about melting and
 solidification.
 Information in this chapter is presented in the following sections:

      • Section 18.1: Multiphase Flow Regimes

      • Section 18.2: Examples of Multiphase Systems

      • Section 18.3: Approaches to Multiphase Modeling

      • Section 18.4: Choosing a Multiphase Model




  c Fluent Inc. November 28, 2001                                      18-1
Introduction to Modeling Multiphase Flows



18.1   Multiphase Flow Regimes
   Multiphase flow can be classified by the following regimes, grouped into
   four categories:

       • gas-liquid or liquid-liquid flows
           – bubbly flow: discrete gaseous or fluid bubbles in a continuous
             fluid
           – droplet flow: discrete fluid droplets in a continuous gas
           – slug flow: large bubbles in a continuous fluid
           – stratified/free-surface flow: immiscible fluids separated by a
             clearly-defined interface

       • gas-solid flows
           – particle-laden flow: discrete solid particles in a continuous gas
           – pneumatic transport: flow pattern depends on factors such
             as solid loading, Reynolds numbers, and particle properties.
             Typical patterns are dune flow, slug flow, packed beds, and
             homogeneous flow.
           – fluidized beds: consist of a vertical cylinder containing parti-
             cles where gas is introduced through a distributor. The gas
             rising through the bed suspends the particles. Depending on
             the gas flow rate, bubbles appear and rise through the bed,
             intensifying the mixing within the bed.

       • liquid-solid flows
           – slurry flow: transport of particles in liquids. The fundamental
             behavior of liquid-solid flows varies with the properties of the
             solid particles relative to those of the liquid. In slurry flows,
             the Stokes number (see Equation 18.4-4) is normally less than
             1. When the Stokes number is larger than 1, the characteristic
             of the flow is liquid-solid fluidization.
           – hydrotransport: densely-distributed solid particles in a con-
             tinuous liquid


18-2                                                 c Fluent Inc. November 28, 2001
18.2 Examples of Multiphase Systems



             – sedimentation: a tall column initially containing a uniform
               dispersed mixture of particles. At the bottom, the particles
               will slow down and form a sludge layer. At the top, a clear
               interface will appear, and in the middle a constant settling
               zone will exist.
       • three-phase flows (combinations of the others listed above)

  Each of these flow regimes is illustrated in Figure 18.1.1.

18.2    Examples of Multiphase Systems
  Specific examples of each regime described in Section 18.1 are listed
  below:

       • Bubbly flow examples: absorbers, aeration, air lift pumps, cavita-
         tion, evaporators, flotation, scrubbers
       • Droplet flow examples: absorbers, atomizers, combustors, cryo-
         genic pumping, dryers, evaporation, gas cooling, scrubbers
       • Slug flow examples: large bubble motion in pipes or tanks
       • Stratified/free-surface flow examples: sloshing in offshore separator
         devices, boiling and condensation in nuclear reactors
       • Particle-laden flow examples: cyclone separators, air classifiers,
         dust collectors, and dust-laden environmental flows
       • Pneumatic transport examples: transport of cement, grains, and
         metal powders
       • Fluidized bed examples: fluidized bed reactors, circulating flu-
         idized beds
       • Slurry flow examples: slurry transport, mineral processing
       • Hydrotransport examples: mineral processing, biomedical and phys-
         iochemical fluid systems
       • Sedimentation examples: mineral processing


   c Fluent Inc. November 28, 2001                                    18-3
Introduction to Modeling Multiphase Flows




           slug flow                        bubbly, droplet, or
                                            particle-laden flow




   stratified/free-surface flow        pneumatic transport,
                                       hydrotransport, or slurry flow




        sedimentation                         fluidized bed

                Figure 18.1.1: Multiphase Flow Regimes




18-4                                             c Fluent Inc. November 28, 2001
18.3 Approaches to Multiphase Modeling



18.3     Approaches to Multiphase Modeling
   Advances in computational fluid mechanics have provided the basis for
   further insight into the dynamics of multiphase flows. Currently there
   are two approaches for the numerical calculation of multiphase flows: the
   Euler-Lagrange approach and the Euler-Euler approach.

18.3.1    The Euler-Lagrange Approach

   The Lagrangian discrete phase model in FLUENT (described in Chap-
   ter 19) follows the Euler-Lagrange approach. The fluid phase is treated
   as a continuum by solving the time-averaged Navier-Stokes equations,
   while the dispersed phase is solved by tracking a large number of parti-
   cles, bubbles, or droplets through the calculated flow field. The dispersed
   phase can exchange momentum, mass, and energy with the fluid phase.
   A fundamental assumption made in this model is that the dispersed sec-
   ond phase occupies a low volume fraction, even though high mass loading
   (mparticles ≥ mfluid ) is acceptable. The particle or droplet trajectories are
     ˙           ˙
   computed individually at specified intervals during the fluid phase cal-
   culation. This makes the model appropriate for the modeling of spray
   dryers, coal and liquid fuel combustion, and some particle-laden flows,
   but inappropriate for the modeling of liquid-liquid mixtures, fluidized
   beds, or any application where the volume fraction of the second phase
   is not negligible.

18.3.2    The Euler-Euler Approach

   In the Euler-Euler approach, the different phases are treated mathemat-
   ically as interpenetrating continua. Since the volume of a phase cannot
   be occupied by the other phases, the concept of phasic volume fraction
   is introduced. These volume fractions are assumed to be continuous
   functions of space and time and their sum is equal to one. Conserva-
   tion equations for each phase are derived to obtain a set of equations,
   which have similar structure for all phases. These equations are closed
   by providing constitutive relations that are obtained from empirical in-
   formation, or, in the case of granular flows, by application of kinetic
   theory.



   c Fluent Inc. November 28, 2001                                        18-5
Introduction to Modeling Multiphase Flows



   In FLUENT, three different Euler-Euler multiphase models are available:
   the volume of fluid (VOF) model, the mixture model, and the Eulerian
   model.

The VOF Model

   The VOF model (described in Section 20.2) is a surface-tracking tech-
   nique applied to a fixed Eulerian mesh. It is designed for two or more
   immiscible fluids where the position of the interface between the fluids
   is of interest. In the VOF model, a single set of momentum equations is
   shared by the fluids, and the volume fraction of each of the fluids in each
   computational cell is tracked throughout the domain. Applications of
   the VOF model include stratified flows, free-surface flows, filling, slosh-
   ing, the motion of large bubbles in a liquid, the motion of liquid after
   a dam break, the prediction of jet breakup (surface tension), and the
   steady or transient tracking of any liquid-gas interface.

The Mixture Model

   The mixture model (described in Section 20.3) is designed for two or
   more phases (fluid or particulate). As in the Eulerian model, the phases
   are treated as interpenetrating continua. The mixture model solves for
   the mixture momentum equation and prescribes relative velocities to
   describe the dispersed phases. Applications of the mixture model include
   particle-laden flows with low loading, bubbly flows, sedimentation, and
   cyclone separators. The mixture model can also be used without relative
   velocities for the dispersed phases to model homogeneous multiphase
   flow.

The Eulerian Model

   The Eulerian model (described in Section 20.4) is the most complex of
   the multiphase models in FLUENT. It solves a set of n momentum and
   continuity equations for each phase. Coupling is achieved through the
   pressure and interphase exchange coefficients. The manner in which this
   coupling is handled depends upon the type of phases involved; granular
   (fluid-solid) flows are handled differently than non-granular (fluid-fluid)
   flows. For granular flows, the properties are obtained from application of


18-6                                                 c Fluent Inc. November 28, 2001
18.4 Choosing a Multiphase Model



   kinetic theory. Momentum exchange between the phases is also depen-
   dent upon the type of mixture being modeled. FLUENT’s user-defined
   functions allow you to customize the calculation of the momentum ex-
   change. Applications of the Eulerian multiphase model include bubble
   columns, risers, particle suspension, and fluidized beds.

18.4     Choosing a Multiphase Model
   The first step in solving any multiphase problem is to determine which
   of the regimes described in Section 18.1 best represents your flow. Sec-
   tion 18.4.1 provides some broad guidelines for determining appropriate
   models for each regime, and Section 18.4.2 provides details about how to
   determine the degree of interphase coupling for flows involving bubbles,
   droplets, or particles, and the appropriate model for different amounts
   of coupling.

18.4.1     General Guidelines

   In general, once you have determined the flow regime that best represents
   your multiphase system, you can select the appropriate model based on
   the following guidelines. Additional details and guidelines for selecting
   the appropriate model for flows involving bubbles, droplets, or particles
   can be found in Section 18.4.2.

         • For bubbly, droplet, and particle-laden flows in which the dispersed-
           phase volume fractions are less than or equal to 10%, use the dis-
           crete phase model. See Chapter 19 for more information about the
           discrete phase model.

         • For bubbly, droplet, and particle-laden flows in which the phases
           mix and/or dispersed-phase volume fractions exceed 10%, use ei-
           ther the mixture model (described in Section 20.3) or the Eulerian
           model (described in Section 20.4). See Sections 18.4.2 and 20.1 for
           details about how to determine which is more appropriate for your
           case.

         • For slug flows, use the VOF model. See Section 20.2 for more
           information about the VOF model.


   c Fluent Inc. November 28, 2001                                       18-7
Introduction to Modeling Multiphase Flows



         • For stratified/free-surface flows, use the VOF model. See Sec-
           tion 20.2 for more information about the VOF model.

         • For pneumatic transport, use the mixture model for homogeneous
           flow (described in Section 20.3) or the Eulerian model for granular
           flow (described in Section 20.4). See Sections 18.4.2 and 20.1 for
           details about how to determine which is more appropriate for your
           case.

         • For fluidized beds, use the Eulerian model for granular flow. See
           Section 20.4 for more information about the Eulerian model.

         • For slurry flows and hydrotransport, use the mixture or Eulerian
           model (described, respectively, in Sections 20.3 and 20.4). See
           Sections 18.4.2 and 20.1 for details about how to determine which
           is more appropriate for your case.

         • For sedimentation, use the Eulerian model. See Section 20.4 for
           more information about the Eulerian model.

         • For general, complex multiphase flows that involve multiple flow
           regimes, select the aspect of the flow that is of most interest, and
           choose the model that is most appropriate for that aspect of the
           flow. Note that the accuracy of results will not be as good as for
           flows that involve just one flow regime, since the model you use
           will be valid for only part of the flow you are modeling.

18.4.2     Detailed Guidelines

   For stratified and slug flows, the choice of the VOF model, as indicated
   in Section 18.4.1, is straightforward. Choosing a model for the other
   types of flows is less straightforward. As a general guide, there are some
   parameters that help to identify the appropriate multiphase model for
   these other flows: the particulate loading, β, and the Stokes number, St.
   (Note that the word “particle” is used in this discussion to refer to a
   particle, droplet, or bubble.)




18-8                                                   c Fluent Inc. November 28, 2001
18.4 Choosing a Multiphase Model



The Effect of Particulate Loading

   Particulate loading has a major impact on phase interactions. The par-
   ticulate loading is defined as the mass density ratio of the dispersed phase
   (d) to that of the carrier phase (c):

                                               αd ρd
                                        β=                             (18.4-1)
                                               αc ρc

   The material density ratio

                                                 ρd
                                            γ=                         (18.4-2)
                                                 ρc

   is greater than 1000 for gas-solid flows, about 1 for liquid-solid flows,
   and less than 0.001 for gas-liquid flows.
   Using these parameters it is possible to estimate the average distance
   between the individual particles of the particulate phase. An estimate
   of this distance has been given by Crowe et al. [42]:

                                                       1/3
                                     L       π1+κ
                                        =                              (18.4-3)
                                     dd      6 κ

   where κ = β . Information about these parameters is important for
                γ
   determining how the dispersed phase should be treated. For example,
   for a gas-particle flow with a particulate loading of 1, the interparticle
          L
   space dd is about 8; the particle can therefore be treated as isolated (i.e.,
   very low particulate loading).
   Depending on the particulate loading, the degree of interaction between
   the phases can be divided into three categories:

       • For very low loading, the coupling between the phases is one-way;
         i.e., the fluid carrier influences the particles via drag and turbu-
         lence, but the particles have no influence on the fluid carrier. The
         discrete phase, mixture, and Eulerian models can all handle this
         type of problem correctly. Since the Eulerian model is the most
         expensive, the discrete phase or mixture model is recommended.


   c Fluent Inc. November 28, 2001                                        18-9
Introduction to Modeling Multiphase Flows



        • For intermediate loading, the coupling is two-way; i.e., the fluid
          carrier influences the particulate phase via drag and turbulence,
          but the particles in turn influence the carrier fluid via reduction
          in mean momentum and turbulence. The discrete phase, mixture,
          and Eulerian models are all applicable in this case, but you need
          to take into account other factors in order to decide which model
          is more appropriate. See below for information about using the
          Stokes number as a guide.

        • For high loading, there is two-way coupling plus particle pressure
          and viscous stresses due to particles (four-way coupling). Only the
          Eulerian model will handle this type of problem correctly.

The Significance of the Stokes Number

   For systems with intermediate particulate loading, estimating the value
   of the Stokes number can help you select the most appropriate model.
   The Stokes number can be defined as the relation between the particle
   response time and the system response time:

                                           τd
                                    St =                                  (18.4-4)
                                           ts

                ρ d2
                d
   where τd = 18µd and ts is based on the characteristic length (Ls ) and the
                   c
   characteristic velocity (Vs ) of the system under investigation: ts = Ls .
                                                                         V
                                                                           s


   For St      1.0, the particle will follow the flow closely and any of the
   three models (discrete phase, mixture, or Eulerian) is applicable; you
   can therefore choose the least expensive (the mixture model, in most
   cases), or the most appropriate considering other factors. For St > 1.0,
   the particles will move independently of the flow and either the discrete
   phase model or the Eulerian model is applicable. For St ≈ 1.0, again
   any of the three models is applicable; you can choose the least expensive
   or the most appropriate considering other factors.




18-10                                                 c Fluent Inc. November 28, 2001
18.4 Choosing a Multiphase Model



Examples

   For a coal classifier with a characteristic length of 1 m and a characteristic
   velocity of 10 m/s, the Stokes number is 0.04 for particles with a diameter
   of 30 microns, but 4.0 for particles with a diameter of 300 microns.
   Clearly the mixture model will not be applicable to the latter case.
   For the case of mineral processing, in a system with a characteristic
   length of 0.2 m and a characteristic velocity of 2 m/s, the Stokes number
   is 0.005 for particles with a diameter of 300 microns. In this case, you can
   choose between the mixture and Eulerian models. (The volume fractions
   are too high for the discrete phase model, as noted below.)

Other Considerations

   Keep in mind that the use of the discrete phase model is limited to low
   volume fractions. Also, the discrete phase model is the only multiphase
   model that allows you to specify the particle distribution or include com-
   bustion modeling in your simulation.




   c Fluent Inc. November 28, 2001                                       18-11
Introduction to Modeling Multiphase Flows




18-12                                       c Fluent Inc. November 28, 2001

More Related Content

What's hot

Reconfinement and loss of stability in jets from active galactic nuclei
Reconfinement and loss of stability in jets from active galactic nucleiReconfinement and loss of stability in jets from active galactic nuclei
Reconfinement and loss of stability in jets from active galactic nucleiSérgio Sacani
 
Power Requirements for Mixing in Bioreactor
Power Requirements for Mixing in Bioreactor Power Requirements for Mixing in Bioreactor
Power Requirements for Mixing in Bioreactor vishalachihari
 
Two Phase Flow Research
Two Phase Flow ResearchTwo Phase Flow Research
Two Phase Flow ResearchRex Liu
 
Modification of the casagrandes equation of phreatic line
Modification of the casagrandes equation of phreatic lineModification of the casagrandes equation of phreatic line
Modification of the casagrandes equation of phreatic lineIAEME Publication
 
Two-Phase Flow Patterns and Flow-Pattern Maps
Two-Phase Flow Patterns and Flow-Pattern MapsTwo-Phase Flow Patterns and Flow-Pattern Maps
Two-Phase Flow Patterns and Flow-Pattern MapsMostafa Ghadamyari
 
Design of packed columns
Design of packed columnsDesign of packed columns
Design of packed columnsalsyourih
 
Experimental flow visualization for flow around multiple side-by-side circula...
Experimental flow visualization for flow around multiple side-by-side circula...Experimental flow visualization for flow around multiple side-by-side circula...
Experimental flow visualization for flow around multiple side-by-side circula...Santosh Sivaramakrishnan
 
Q922+de2+l04 v1
Q922+de2+l04 v1Q922+de2+l04 v1
Q922+de2+l04 v1AFATous
 
Absorption stripping
Absorption strippingAbsorption stripping
Absorption strippingjogeman
 
Q913 re1 w2 lec 5
Q913 re1 w2 lec 5Q913 re1 w2 lec 5
Q913 re1 w2 lec 5AFATous
 
Basics of two phase flow (gas-liquid) line sizing
Basics of two phase flow (gas-liquid) line sizingBasics of two phase flow (gas-liquid) line sizing
Basics of two phase flow (gas-liquid) line sizingVikram Sharma
 
Drainage Engineering (Flow Nets)
Drainage Engineering (Flow Nets)Drainage Engineering (Flow Nets)
Drainage Engineering (Flow Nets)Latif Hyder Wadho
 
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)Vikram Sharma
 
Effect of fluid physical properties on rollover stability in terms of damping...
Effect of fluid physical properties on rollover stability in terms of damping...Effect of fluid physical properties on rollover stability in terms of damping...
Effect of fluid physical properties on rollover stability in terms of damping...IAEME Publication
 
Permebility and Porosity
Permebility and PorosityPermebility and Porosity
Permebility and PorosityShaoor Kamal
 
Design of-absorption-column
Design of-absorption-columnDesign of-absorption-column
Design of-absorption-columnAli Hassan
 
Experimental conceptualisation of the Flow Net system construction inside the...
Experimental conceptualisation of the Flow Net system construction inside the...Experimental conceptualisation of the Flow Net system construction inside the...
Experimental conceptualisation of the Flow Net system construction inside the...Dr.Costas Sachpazis
 
Relative permeability presentation
Relative permeability presentationRelative permeability presentation
Relative permeability presentationM petro
 

What's hot (20)

Reconfinement and loss of stability in jets from active galactic nuclei
Reconfinement and loss of stability in jets from active galactic nucleiReconfinement and loss of stability in jets from active galactic nuclei
Reconfinement and loss of stability in jets from active galactic nuclei
 
Power Requirements for Mixing in Bioreactor
Power Requirements for Mixing in Bioreactor Power Requirements for Mixing in Bioreactor
Power Requirements for Mixing in Bioreactor
 
Two Phase Flow Research
Two Phase Flow ResearchTwo Phase Flow Research
Two Phase Flow Research
 
Modification of the casagrandes equation of phreatic line
Modification of the casagrandes equation of phreatic lineModification of the casagrandes equation of phreatic line
Modification of the casagrandes equation of phreatic line
 
Two-Phase Flow Patterns and Flow-Pattern Maps
Two-Phase Flow Patterns and Flow-Pattern MapsTwo-Phase Flow Patterns and Flow-Pattern Maps
Two-Phase Flow Patterns and Flow-Pattern Maps
 
Design of packed columns
Design of packed columnsDesign of packed columns
Design of packed columns
 
Experimental flow visualization for flow around multiple side-by-side circula...
Experimental flow visualization for flow around multiple side-by-side circula...Experimental flow visualization for flow around multiple side-by-side circula...
Experimental flow visualization for flow around multiple side-by-side circula...
 
Q922+de2+l04 v1
Q922+de2+l04 v1Q922+de2+l04 v1
Q922+de2+l04 v1
 
Absorption stripping
Absorption strippingAbsorption stripping
Absorption stripping
 
Q913 re1 w2 lec 5
Q913 re1 w2 lec 5Q913 re1 w2 lec 5
Q913 re1 w2 lec 5
 
Unit4 kvv
Unit4 kvvUnit4 kvv
Unit4 kvv
 
Basics of two phase flow (gas-liquid) line sizing
Basics of two phase flow (gas-liquid) line sizingBasics of two phase flow (gas-liquid) line sizing
Basics of two phase flow (gas-liquid) line sizing
 
Drainage Engineering (Flow Nets)
Drainage Engineering (Flow Nets)Drainage Engineering (Flow Nets)
Drainage Engineering (Flow Nets)
 
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)
Two-phase fluid flow: Guideline to Pipe Sizing for Two-Phase (Liquid-Gas)
 
Effect of fluid physical properties on rollover stability in terms of damping...
Effect of fluid physical properties on rollover stability in terms of damping...Effect of fluid physical properties on rollover stability in terms of damping...
Effect of fluid physical properties on rollover stability in terms of damping...
 
Flow nets
Flow netsFlow nets
Flow nets
 
Permebility and Porosity
Permebility and PorosityPermebility and Porosity
Permebility and Porosity
 
Design of-absorption-column
Design of-absorption-columnDesign of-absorption-column
Design of-absorption-column
 
Experimental conceptualisation of the Flow Net system construction inside the...
Experimental conceptualisation of the Flow Net system construction inside the...Experimental conceptualisation of the Flow Net system construction inside the...
Experimental conceptualisation of the Flow Net system construction inside the...
 
Relative permeability presentation
Relative permeability presentationRelative permeability presentation
Relative permeability presentation
 

Similar to Introduction to Modeling Multiphase Flows

00 multiphase flows - intorduction
00 multiphase flows - intorduction00 multiphase flows - intorduction
00 multiphase flows - intorductionMohammad Jadidi
 
Three phase fluidization
Three phase fluidizationThree phase fluidization
Three phase fluidizationArun Sarasan
 
01 multiphaseflows-fundamental definitions.pptx
01 multiphaseflows-fundamental definitions.pptx01 multiphaseflows-fundamental definitions.pptx
01 multiphaseflows-fundamental definitions.pptxAjeetPattnaik1
 
01 multiphase flows- fundamental definitions
01 multiphase flows- fundamental definitions01 multiphase flows- fundamental definitions
01 multiphase flows- fundamental definitionsMohammad Jadidi
 
CFD Lecture (8/8): CFD in Chemical Systems
CFD Lecture (8/8): CFD in Chemical SystemsCFD Lecture (8/8): CFD in Chemical Systems
CFD Lecture (8/8): CFD in Chemical SystemsAbhishek Jain
 
Introduction to Coupled CFD-DEM Modeling
Introduction to Coupled CFD-DEM ModelingIntroduction to Coupled CFD-DEM Modeling
Introduction to Coupled CFD-DEM ModelingKhusro Kamaluddin
 
molecular distillation and packed columm distillation
molecular distillation and packed columm distillationmolecular distillation and packed columm distillation
molecular distillation and packed columm distillationkuldeepp4652
 
Chapter four fluid mechanics
Chapter four fluid mechanicsChapter four fluid mechanics
Chapter four fluid mechanicsabrish shewa
 
01 script hydrodynamic layout
01 script hydrodynamic layout01 script hydrodynamic layout
01 script hydrodynamic layoutSantiago Umbarila
 
r [Autosaved].pptx
r [Autosaved].pptxr [Autosaved].pptx
r [Autosaved].pptxRenilVO
 
Fluid Mechanics Chapter 3. Integral relations for a control volume
Fluid Mechanics Chapter 3. Integral relations for a control volumeFluid Mechanics Chapter 3. Integral relations for a control volume
Fluid Mechanics Chapter 3. Integral relations for a control volumeAddisu Dagne Zegeye
 
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...IRJET Journal
 
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...IRJET Journal
 

Similar to Introduction to Modeling Multiphase Flows (20)

00 multiphase flows - intorduction
00 multiphase flows - intorduction00 multiphase flows - intorduction
00 multiphase flows - intorduction
 
Three phase fluidization
Three phase fluidizationThree phase fluidization
Three phase fluidization
 
01 multiphaseflows-fundamental definitions.pptx
01 multiphaseflows-fundamental definitions.pptx01 multiphaseflows-fundamental definitions.pptx
01 multiphaseflows-fundamental definitions.pptx
 
01 multiphase flows- fundamental definitions
01 multiphase flows- fundamental definitions01 multiphase flows- fundamental definitions
01 multiphase flows- fundamental definitions
 
CFD Lecture (8/8): CFD in Chemical Systems
CFD Lecture (8/8): CFD in Chemical SystemsCFD Lecture (8/8): CFD in Chemical Systems
CFD Lecture (8/8): CFD in Chemical Systems
 
Introduction to Coupled CFD-DEM Modeling
Introduction to Coupled CFD-DEM ModelingIntroduction to Coupled CFD-DEM Modeling
Introduction to Coupled CFD-DEM Modeling
 
molecular distillation and packed columm distillation
molecular distillation and packed columm distillationmolecular distillation and packed columm distillation
molecular distillation and packed columm distillation
 
C04651725
C04651725C04651725
C04651725
 
Ifb good
Ifb goodIfb good
Ifb good
 
Chapter four fluid mechanics
Chapter four fluid mechanicsChapter four fluid mechanics
Chapter four fluid mechanics
 
Types of fluid flow best ppt
Types of fluid flow best pptTypes of fluid flow best ppt
Types of fluid flow best ppt
 
01 script hydrodynamic layout
01 script hydrodynamic layout01 script hydrodynamic layout
01 script hydrodynamic layout
 
Lg3420362048
Lg3420362048Lg3420362048
Lg3420362048
 
r [Autosaved].pptx
r [Autosaved].pptxr [Autosaved].pptx
r [Autosaved].pptx
 
Fluid Mechanics Chapter 3. Integral relations for a control volume
Fluid Mechanics Chapter 3. Integral relations for a control volumeFluid Mechanics Chapter 3. Integral relations for a control volume
Fluid Mechanics Chapter 3. Integral relations for a control volume
 
Rheology
Rheology Rheology
Rheology
 
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...
IRJET- Numerical Analysis of Slurry Flow Characteristics Through Horizontal P...
 
Lesson 06.pptx
Lesson 06.pptxLesson 06.pptx
Lesson 06.pptx
 
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...
Comparison of Multiphase Flow Model and Single-Phase Flow Model of Steam Jet ...
 
Rheology
RheologyRheology
Rheology
 

Recently uploaded

Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 

Recently uploaded (20)

Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 

Introduction to Modeling Multiphase Flows

  • 1. Chapter 18. Introduction to Modeling Multiphase Flows A large number of flows encountered in nature and technology are a mix- ture of phases. Physical phases of matter are gas, liquid, and solid, but the concept of phase in a multiphase flow system is applied in a broader sense. In multiphase flow, a phase can be defined as an identifiable class of material that has a particular inertial response to and interaction with the flow and the potential field in which it is immersed. For example, different-sized solid particles of the same material can be treated as dif- ferent phases because each collection of particles with the same size will have a similar dynamical response to the flow field. This chapter provides an overview of multiphase modeling in FLUENT, and Chapters 19 and 20 provide details about the multiphase models mentioned here. Chapter 21 provides information about melting and solidification. Information in this chapter is presented in the following sections: • Section 18.1: Multiphase Flow Regimes • Section 18.2: Examples of Multiphase Systems • Section 18.3: Approaches to Multiphase Modeling • Section 18.4: Choosing a Multiphase Model c Fluent Inc. November 28, 2001 18-1
  • 2. Introduction to Modeling Multiphase Flows 18.1 Multiphase Flow Regimes Multiphase flow can be classified by the following regimes, grouped into four categories: • gas-liquid or liquid-liquid flows – bubbly flow: discrete gaseous or fluid bubbles in a continuous fluid – droplet flow: discrete fluid droplets in a continuous gas – slug flow: large bubbles in a continuous fluid – stratified/free-surface flow: immiscible fluids separated by a clearly-defined interface • gas-solid flows – particle-laden flow: discrete solid particles in a continuous gas – pneumatic transport: flow pattern depends on factors such as solid loading, Reynolds numbers, and particle properties. Typical patterns are dune flow, slug flow, packed beds, and homogeneous flow. – fluidized beds: consist of a vertical cylinder containing parti- cles where gas is introduced through a distributor. The gas rising through the bed suspends the particles. Depending on the gas flow rate, bubbles appear and rise through the bed, intensifying the mixing within the bed. • liquid-solid flows – slurry flow: transport of particles in liquids. The fundamental behavior of liquid-solid flows varies with the properties of the solid particles relative to those of the liquid. In slurry flows, the Stokes number (see Equation 18.4-4) is normally less than 1. When the Stokes number is larger than 1, the characteristic of the flow is liquid-solid fluidization. – hydrotransport: densely-distributed solid particles in a con- tinuous liquid 18-2 c Fluent Inc. November 28, 2001
  • 3. 18.2 Examples of Multiphase Systems – sedimentation: a tall column initially containing a uniform dispersed mixture of particles. At the bottom, the particles will slow down and form a sludge layer. At the top, a clear interface will appear, and in the middle a constant settling zone will exist. • three-phase flows (combinations of the others listed above) Each of these flow regimes is illustrated in Figure 18.1.1. 18.2 Examples of Multiphase Systems Specific examples of each regime described in Section 18.1 are listed below: • Bubbly flow examples: absorbers, aeration, air lift pumps, cavita- tion, evaporators, flotation, scrubbers • Droplet flow examples: absorbers, atomizers, combustors, cryo- genic pumping, dryers, evaporation, gas cooling, scrubbers • Slug flow examples: large bubble motion in pipes or tanks • Stratified/free-surface flow examples: sloshing in offshore separator devices, boiling and condensation in nuclear reactors • Particle-laden flow examples: cyclone separators, air classifiers, dust collectors, and dust-laden environmental flows • Pneumatic transport examples: transport of cement, grains, and metal powders • Fluidized bed examples: fluidized bed reactors, circulating flu- idized beds • Slurry flow examples: slurry transport, mineral processing • Hydrotransport examples: mineral processing, biomedical and phys- iochemical fluid systems • Sedimentation examples: mineral processing c Fluent Inc. November 28, 2001 18-3
  • 4. Introduction to Modeling Multiphase Flows slug flow bubbly, droplet, or particle-laden flow stratified/free-surface flow pneumatic transport, hydrotransport, or slurry flow sedimentation fluidized bed Figure 18.1.1: Multiphase Flow Regimes 18-4 c Fluent Inc. November 28, 2001
  • 5. 18.3 Approaches to Multiphase Modeling 18.3 Approaches to Multiphase Modeling Advances in computational fluid mechanics have provided the basis for further insight into the dynamics of multiphase flows. Currently there are two approaches for the numerical calculation of multiphase flows: the Euler-Lagrange approach and the Euler-Euler approach. 18.3.1 The Euler-Lagrange Approach The Lagrangian discrete phase model in FLUENT (described in Chap- ter 19) follows the Euler-Lagrange approach. The fluid phase is treated as a continuum by solving the time-averaged Navier-Stokes equations, while the dispersed phase is solved by tracking a large number of parti- cles, bubbles, or droplets through the calculated flow field. The dispersed phase can exchange momentum, mass, and energy with the fluid phase. A fundamental assumption made in this model is that the dispersed sec- ond phase occupies a low volume fraction, even though high mass loading (mparticles ≥ mfluid ) is acceptable. The particle or droplet trajectories are ˙ ˙ computed individually at specified intervals during the fluid phase cal- culation. This makes the model appropriate for the modeling of spray dryers, coal and liquid fuel combustion, and some particle-laden flows, but inappropriate for the modeling of liquid-liquid mixtures, fluidized beds, or any application where the volume fraction of the second phase is not negligible. 18.3.2 The Euler-Euler Approach In the Euler-Euler approach, the different phases are treated mathemat- ically as interpenetrating continua. Since the volume of a phase cannot be occupied by the other phases, the concept of phasic volume fraction is introduced. These volume fractions are assumed to be continuous functions of space and time and their sum is equal to one. Conserva- tion equations for each phase are derived to obtain a set of equations, which have similar structure for all phases. These equations are closed by providing constitutive relations that are obtained from empirical in- formation, or, in the case of granular flows, by application of kinetic theory. c Fluent Inc. November 28, 2001 18-5
  • 6. Introduction to Modeling Multiphase Flows In FLUENT, three different Euler-Euler multiphase models are available: the volume of fluid (VOF) model, the mixture model, and the Eulerian model. The VOF Model The VOF model (described in Section 20.2) is a surface-tracking tech- nique applied to a fixed Eulerian mesh. It is designed for two or more immiscible fluids where the position of the interface between the fluids is of interest. In the VOF model, a single set of momentum equations is shared by the fluids, and the volume fraction of each of the fluids in each computational cell is tracked throughout the domain. Applications of the VOF model include stratified flows, free-surface flows, filling, slosh- ing, the motion of large bubbles in a liquid, the motion of liquid after a dam break, the prediction of jet breakup (surface tension), and the steady or transient tracking of any liquid-gas interface. The Mixture Model The mixture model (described in Section 20.3) is designed for two or more phases (fluid or particulate). As in the Eulerian model, the phases are treated as interpenetrating continua. The mixture model solves for the mixture momentum equation and prescribes relative velocities to describe the dispersed phases. Applications of the mixture model include particle-laden flows with low loading, bubbly flows, sedimentation, and cyclone separators. The mixture model can also be used without relative velocities for the dispersed phases to model homogeneous multiphase flow. The Eulerian Model The Eulerian model (described in Section 20.4) is the most complex of the multiphase models in FLUENT. It solves a set of n momentum and continuity equations for each phase. Coupling is achieved through the pressure and interphase exchange coefficients. The manner in which this coupling is handled depends upon the type of phases involved; granular (fluid-solid) flows are handled differently than non-granular (fluid-fluid) flows. For granular flows, the properties are obtained from application of 18-6 c Fluent Inc. November 28, 2001
  • 7. 18.4 Choosing a Multiphase Model kinetic theory. Momentum exchange between the phases is also depen- dent upon the type of mixture being modeled. FLUENT’s user-defined functions allow you to customize the calculation of the momentum ex- change. Applications of the Eulerian multiphase model include bubble columns, risers, particle suspension, and fluidized beds. 18.4 Choosing a Multiphase Model The first step in solving any multiphase problem is to determine which of the regimes described in Section 18.1 best represents your flow. Sec- tion 18.4.1 provides some broad guidelines for determining appropriate models for each regime, and Section 18.4.2 provides details about how to determine the degree of interphase coupling for flows involving bubbles, droplets, or particles, and the appropriate model for different amounts of coupling. 18.4.1 General Guidelines In general, once you have determined the flow regime that best represents your multiphase system, you can select the appropriate model based on the following guidelines. Additional details and guidelines for selecting the appropriate model for flows involving bubbles, droplets, or particles can be found in Section 18.4.2. • For bubbly, droplet, and particle-laden flows in which the dispersed- phase volume fractions are less than or equal to 10%, use the dis- crete phase model. See Chapter 19 for more information about the discrete phase model. • For bubbly, droplet, and particle-laden flows in which the phases mix and/or dispersed-phase volume fractions exceed 10%, use ei- ther the mixture model (described in Section 20.3) or the Eulerian model (described in Section 20.4). See Sections 18.4.2 and 20.1 for details about how to determine which is more appropriate for your case. • For slug flows, use the VOF model. See Section 20.2 for more information about the VOF model. c Fluent Inc. November 28, 2001 18-7
  • 8. Introduction to Modeling Multiphase Flows • For stratified/free-surface flows, use the VOF model. See Sec- tion 20.2 for more information about the VOF model. • For pneumatic transport, use the mixture model for homogeneous flow (described in Section 20.3) or the Eulerian model for granular flow (described in Section 20.4). See Sections 18.4.2 and 20.1 for details about how to determine which is more appropriate for your case. • For fluidized beds, use the Eulerian model for granular flow. See Section 20.4 for more information about the Eulerian model. • For slurry flows and hydrotransport, use the mixture or Eulerian model (described, respectively, in Sections 20.3 and 20.4). See Sections 18.4.2 and 20.1 for details about how to determine which is more appropriate for your case. • For sedimentation, use the Eulerian model. See Section 20.4 for more information about the Eulerian model. • For general, complex multiphase flows that involve multiple flow regimes, select the aspect of the flow that is of most interest, and choose the model that is most appropriate for that aspect of the flow. Note that the accuracy of results will not be as good as for flows that involve just one flow regime, since the model you use will be valid for only part of the flow you are modeling. 18.4.2 Detailed Guidelines For stratified and slug flows, the choice of the VOF model, as indicated in Section 18.4.1, is straightforward. Choosing a model for the other types of flows is less straightforward. As a general guide, there are some parameters that help to identify the appropriate multiphase model for these other flows: the particulate loading, β, and the Stokes number, St. (Note that the word “particle” is used in this discussion to refer to a particle, droplet, or bubble.) 18-8 c Fluent Inc. November 28, 2001
  • 9. 18.4 Choosing a Multiphase Model The Effect of Particulate Loading Particulate loading has a major impact on phase interactions. The par- ticulate loading is defined as the mass density ratio of the dispersed phase (d) to that of the carrier phase (c): αd ρd β= (18.4-1) αc ρc The material density ratio ρd γ= (18.4-2) ρc is greater than 1000 for gas-solid flows, about 1 for liquid-solid flows, and less than 0.001 for gas-liquid flows. Using these parameters it is possible to estimate the average distance between the individual particles of the particulate phase. An estimate of this distance has been given by Crowe et al. [42]: 1/3 L π1+κ = (18.4-3) dd 6 κ where κ = β . Information about these parameters is important for γ determining how the dispersed phase should be treated. For example, for a gas-particle flow with a particulate loading of 1, the interparticle L space dd is about 8; the particle can therefore be treated as isolated (i.e., very low particulate loading). Depending on the particulate loading, the degree of interaction between the phases can be divided into three categories: • For very low loading, the coupling between the phases is one-way; i.e., the fluid carrier influences the particles via drag and turbu- lence, but the particles have no influence on the fluid carrier. The discrete phase, mixture, and Eulerian models can all handle this type of problem correctly. Since the Eulerian model is the most expensive, the discrete phase or mixture model is recommended. c Fluent Inc. November 28, 2001 18-9
  • 10. Introduction to Modeling Multiphase Flows • For intermediate loading, the coupling is two-way; i.e., the fluid carrier influences the particulate phase via drag and turbulence, but the particles in turn influence the carrier fluid via reduction in mean momentum and turbulence. The discrete phase, mixture, and Eulerian models are all applicable in this case, but you need to take into account other factors in order to decide which model is more appropriate. See below for information about using the Stokes number as a guide. • For high loading, there is two-way coupling plus particle pressure and viscous stresses due to particles (four-way coupling). Only the Eulerian model will handle this type of problem correctly. The Significance of the Stokes Number For systems with intermediate particulate loading, estimating the value of the Stokes number can help you select the most appropriate model. The Stokes number can be defined as the relation between the particle response time and the system response time: τd St = (18.4-4) ts ρ d2 d where τd = 18µd and ts is based on the characteristic length (Ls ) and the c characteristic velocity (Vs ) of the system under investigation: ts = Ls . V s For St 1.0, the particle will follow the flow closely and any of the three models (discrete phase, mixture, or Eulerian) is applicable; you can therefore choose the least expensive (the mixture model, in most cases), or the most appropriate considering other factors. For St > 1.0, the particles will move independently of the flow and either the discrete phase model or the Eulerian model is applicable. For St ≈ 1.0, again any of the three models is applicable; you can choose the least expensive or the most appropriate considering other factors. 18-10 c Fluent Inc. November 28, 2001
  • 11. 18.4 Choosing a Multiphase Model Examples For a coal classifier with a characteristic length of 1 m and a characteristic velocity of 10 m/s, the Stokes number is 0.04 for particles with a diameter of 30 microns, but 4.0 for particles with a diameter of 300 microns. Clearly the mixture model will not be applicable to the latter case. For the case of mineral processing, in a system with a characteristic length of 0.2 m and a characteristic velocity of 2 m/s, the Stokes number is 0.005 for particles with a diameter of 300 microns. In this case, you can choose between the mixture and Eulerian models. (The volume fractions are too high for the discrete phase model, as noted below.) Other Considerations Keep in mind that the use of the discrete phase model is limited to low volume fractions. Also, the discrete phase model is the only multiphase model that allows you to specify the particle distribution or include com- bustion modeling in your simulation. c Fluent Inc. November 28, 2001 18-11
  • 12. Introduction to Modeling Multiphase Flows 18-12 c Fluent Inc. November 28, 2001