Euler-Euler Two-Fluid Model

Category: Fluid Analysis (CFD) | Integrated 2026-04-06
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Euler-Euler Two-Fluid Model

Euler-Euler Two-Fluid: Theoretical Foundations

Overview

๐Ÿง‘โ€๐ŸŽ“

Professor, what is the Euler-Euler two-fluid model? From the name, does it handle two fluids simultaneously?


๐ŸŽ“

Exactly. The Euler-Euler method treats both the gas and liquid phases (or solid and gas phases) as continua and solves independent conservation equations for each phase. It excels in systems with high volume fractions of dispersed phases, such as bubble columns, slurry reactors, and vapor-liquid two-phase flow piping.


๐Ÿง‘โ€๐ŸŽ“

How is it different from the VOF method?


๐ŸŽ“

The VOF method is an "interface capturing method" that sharply tracks interfaces and is suitable for free-surface flows with large interface structures. On the other hand, the Euler-Euler method is a "dispersed flow model" that handles systems with numerous dispersed bubbles or droplets. It treats them statistically as local volume fractions rather than resolving individual bubbles.


Governing Equations

๐Ÿง‘โ€๐ŸŽ“

Please tell me the specific equations.


๐ŸŽ“

It solves the continuity equation and momentum equation for each phase $k$. The continuity equation is as follows.


$$ \frac{\partial (\alpha_k \rho_k)}{\partial t} + \nabla \cdot (\alpha_k \rho_k \mathbf{u}_k) = \dot{m}_{lk} - \dot{m}_{kl} $$

๐ŸŽ“

Here, $\alpha_k$ is the volume fraction of phase $k$, and $\dot{m}_{lk}$ is the mass transfer rate from phase $l$ to phase $k$. The volume fraction constraint $\sum_k \alpha_k = 1$ holds.


๐Ÿง‘โ€๐ŸŽ“

What about the momentum equation?


๐ŸŽ“

The momentum equation for phase $k$ becomes as follows.


$$ \frac{\partial (\alpha_k \rho_k \mathbf{u}_k)}{\partial t} + \nabla \cdot (\alpha_k \rho_k \mathbf{u}_k \mathbf{u}_k) = -\alpha_k \nabla p + \nabla \cdot (\alpha_k \boldsymbol{\tau}_k) + \alpha_k \rho_k \mathbf{g} + \mathbf{M}_k $$

๐ŸŽ“

$\mathbf{M}_k$ is the sum of interfacial forces, and this is the core part of the two-fluid model. The pressure $p$ is shared among all phases (shared pressure model), which is the standard approach.


Interfacial Force Models

๐Ÿง‘โ€๐ŸŽ“

What kinds of interfacial forces are there?


๐ŸŽ“

Taking bubble flow as an example, the main forces acting on the dispersed phase (bubbles) are as follows.


ForceRepresentative ModelPhysical Meaning
Drag ForceSchiller-Naumann, Ishii-Zuber, GraceResistance to relative velocity
Lift ForceTomiyama, Legendre-MagnaudetLateral force due to velocity gradient
Wall Lubrication ForceAntal, TomiyamaRepulsive force near walls
Virtual Mass Force$C_{VM} = 0.5$Added mass accompanying acceleration
Turbulent Dispersion ForceLopez de Bertodano, BurnsDispersion due to turbulent fluctuations
๐Ÿง‘โ€๐ŸŽ“

How should I choose a drag model?


๐ŸŽ“

For spherical bubbles, Schiller-Naumann is suitable; for deformed bubbles (high Eotvos number), the Ishii-Zuber or Grace model is appropriate. The Ishii-Zuber model automatically switches the drag coefficient according to the bubble regime (spherical, ellipsoidal, cap), making it highly versatile.


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The Philosophy of the Two-Fluid Model โ€“ What is Lost by "Averaging"

The Euler-Euler (two-fluid) model treats gas and liquid phases as independent continua, undergoing a "double averaging" process of volume and time averaging for each phase. This operation eliminates the positional information of individual bubbles/droplets, requiring closure models such as "interfacial area density" and "drag coefficient" instead. Ishii & Hibiki's textbook on the two-fluid model remains essential reading for multiphase flow CFD, but the authors themselves repeatedly state that "the uncertainty of closure models is the greatest challenge." Predictions of bubble column height can vary by over 50% depending on the chosen drag model, and the gap between the "philosophical correctness" and "practical accuracy" of models has been a source of long-standing debate.

Computational Methods for Euler-Euler Two-Fluid

Details of Numerical Methods

๐Ÿง‘โ€๐ŸŽ“

Please tell me how to solve the Euler-Euler method numerically.


๐ŸŽ“

Basically, an extended version of the SIMPLE-type algorithm is used. The basic flow is to solve the momentum equations for each phase sequentially and perform pressure correction from the shared pressure.


๐ŸŽ“

1. Solve each phase's momentum equation with a tentative velocity field

2. Update the volume fraction equation

3. Solve the pressure correction equation (summing the continuity equations of each phase)

4. Correct the velocity field

5. Update the turbulence equations

6. Repeat until convergence


๐Ÿง‘โ€๐ŸŽ“

The pressure is shared among all phases, right?


๐ŸŽ“

Yes. However, additional terms may be included in the pressure term for the dispersed phase. For example, in granular flow (Eulerian Granular), a solid pressure $p_s$ is added as a function of volume fraction.


Handling of Turbulence Models

๐Ÿง‘โ€๐ŸŽ“

What about turbulence models for two-phase flow?


๐ŸŽ“

There are three approaches.


MethodOverviewApplication
Mixture Turbulence ModelSolves one set of k-ฮต for the mixtureLow void fraction, simple calculation
Per-phase Turbulence ModelSolves k-ฮต for each phase separatelyHigh accuracy but high computational cost
Dispersed Phase TurbulenceDerives dispersed phase turbulence from continuous phase k-ฮตStandard for bubble flow
๐ŸŽ“

In bubble column analysis, additional source terms for Bubble-Induced Turbulence (BIT) are important. The Sato & Sekoguchi model is most commonly used.


$$ \mu_{t,BIT} = C_{\mu,BIT} \rho_l \alpha_g d_b |\mathbf{u}_g - \mathbf{u}_l| $$

๐Ÿง‘โ€๐ŸŽ“

You mean bubbles create turbulence?


๐ŸŽ“

Exactly. The wake of bubbles additionally generates turbulent energy. At high void fractions, BIT can become dominant.


Solver Setting Points

๐Ÿง‘โ€๐ŸŽ“

Are there any tips for achieving convergence?


๐ŸŽ“

The Euler-Euler method has strong nonlinearity and can be difficult to converge.


ParameterRecommended ValueReason
Volume Fraction Relaxation Factor0.2~0.5Suppresses abrupt changes
Momentum Relaxation Factor0.3~0.5Nonlinearity of interfacial forces
Pressure-Velocity CouplingPhase Coupled SIMPLEPressure coupling between phases
Time Step$10^{-3}$~$10^{-2}$ sTransient calculation is fundamental
๐ŸŽ“

Steady-state calculations often fail to converge, so it is common to perform transient calculations and take time averages. For systems like bubble columns, run for tens of seconds of physical time before starting to collect statistics.


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SIMPLE vs Coupled Solver โ€“ Convergence Strategy for Gas-Liquid Two-Fluid Calculations

For the pressure-velocity coupling solver in the Euler-Euler two-fluid model, simply using the single-phase SIMPLE algorithm causes the volume fractions of both phases to intertwine in the pressure equation, slowing convergence. The Coupled Solver adopted by ANSYS CFX (a fully implicit method solving pressure, velocity, and volume fraction simultaneously) offers high stability even when gas-liquid interfaces are steep, with proven results showing iteration counts reduced to 1/3 to 1/5 of SIMPLE. However, the computational cost per iteration is higher than SIMPLE, so overall computation time is case-dependent. OpenFOAM's twoPhaseEulerFoam tends to diverge at high void fractions (ฮฑ_g > 0.7), requiring careful management of time steps.

Computational Methods for Euler-Euler Two-Fluid

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