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Diffuse interface approach to CFD-based simulation of gas-liquid

systems

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Diffuse Interface Approach to

CFD-Based Simulation of Gas-Liquid Systems

A. Donaldson, A. Macchi , D.M. Kirpalani$* CSChE 2008, Ottawa, ON

October 21, 2008

Miniaturization and

Multi-phase CFD

• Process intensification and miniaturization

has led to alternative technologies for multi-phase contacting (i.e. monoliths) • The modular nature of this technology is

better suited to CFD-based optimization, where the process dynamics remain consistent during industrial scale-up. Simulation of interfacial phenomena in • Simulation of interfacial phenomena in

small-scale geometries is complicated by a change in the predominant forces acting on the fluids

on the fluids.

Multi-Phase CFD:

Sharp Interface

Sharp interface tracking methods describe the transition between Sharp interface tracking methods describe the transition between phases as a discontinuity, from which topology is reconstructed to evaluate property transitions and surface forces.

Eulerian - VOF Lagrangian

Diffuse Interface

Approach

• The interface between phases is described

as a region of finite width, across which physical properties transition smoothly • Phase interactions are described by

resolving thermodynamic relationships within the artificially thickened interface. • Surface forces are evaluated as a function

of free energy variation, eliminating the need to reconstruct the interface geometry. • Topological changes are handled implicitly

(3)

DI Approach:

Current Limitations

5

0

Spontaneous Drop Shrinkage and Continuity Loss:

When the DI approach is used as an interface tracking technique, the contour

0

.

5

is frequently used to delineate between phases

contour is frequently used to delineate between phases. While is conserved, the area within the contour is not. Application To Non-Uniform Meshes and Surface Force Approximationspp pp

Center Cell Nearest Neighbour Second-Nearest Neighbour

Continuity Loss:

Sources and Effects

Initial Conditioning: Loss During Advection:

 

Surface

Energy

Bulk

Free

Energy

H

Spontaneous Drop Shrinkage:

 

V

gy

gy

f

Assume: Negligable Volume,

Near Zero

Infinite Volume, Dominant energy

Reality: Finite Volume,

Near Zero Concentration of Free

Energy on Interface

Conventional Approach:

Double-Well Function

Simplified Energy Density Function:

 

2

2

1

25

0

W ll D bl

f

Spontaneous Drop Shrinkage: Critical Radius 2-D

For a set interface width and computational domain volume a critical

 

0

.

25

1

Well Double

f

0 0.5 1 0 0.5 1

For a set interface width and computational domain volume, a critical droplet radius exists, below which a droplet will eventually disappear.

3 1

6

8

6





V

r

C H H Radius r0 Radius r0

Yue et al., J. Comp. Phys., 223 (2007)

Proposed Approach:

TVSED Function

TR=0

  

TR TVSED

f

1

1

Temperature Variant SEDFunction: TR=0.5

0 0.5 1 0 0.5 1

  

TVSED

f

Critical Radius 2D

1 2 1

4

2

1

1

2

2

1





 

TR TR R R

V

T

T

T

T

Critical Radius – 2D

1 2

;

1

2

3

;

2

1

,

2

1

4

1

2





R R R c

T

F

T

T

r

2

2

2





(4)

Continuity Loss

During Advection

Continuity loss during advection occurs due to the formation of meta-stable mixtures in the bulk phases, caused by poor separation dynamics.

Thermodynamic Regions

Diagonal Advection

Simulations

Two-Phase Flow:

Momentum Transfer

Navier-Stokes for Laminar Flow:

 

UU

U

U

g

U

T







P

Continuity:

 

g

t

 



Surface forces accounted for in the pressure tensor

 

0

U

t

in the pressure tensor.

Note: As per Ding et al. (2007), the volume averaged velocity is used to obtain a solenoidal velocity field, thereby simplifying the PISO algorithm used for determining the pressure field

used for determining the pressure field.

Ding, H., Spelt, P.D.M., Shu, C., Diffuse interface model for incompressible two-phase flows with large density ratios, J. of Comp. Phys., 226 (2007), 2078-2095.

Pressure Tensor:

Surface Force Est.

The pressure tensor for diffuse interface simulations is commonly based on the Korteweg tensor, with isotropic terms incorporated into the isotropic pressure, p p ,

p

p

.

 

2

p

P

(5)

Surface Force and

Gamma Filtering

By applying a filter to , variations in the pressure tensor can be localized to the center of the interface where is more linear, minimizing the error introduced by low-order estimates of

g y

 

*

0

.

5

0

.

5

sin

 

 

 

min

max

 

1

05

     2 1 5 . 0 1 , , max min 

   *2 * * *

 

 

 

    

 

 

  

   *2 cos  cos   2  sin 

2 * *

               * *2 * * p P           , 1 1 0 1   2 2 1 2          

 



 

 

     

  

 

  

* * *  * cos2 2     2 sin2        ,

Surface Force Results

Gamma Filtering VOF Conventional

Gamma Filtering VOF Conventional

Summary

• While the diffuse interface approach to interface tracking has advantages over the sharp interface approach for modeling small-scale flows, it’s application has been limited due to continuity losses and the need for highly structured grids

and the need for highly structured grids.

• The current practice of adopting the double-well function is partially responsible for the observed loss in continuity. By using an energy density for immiscible fluids overall phase continuity is improved density for immiscible fluids, overall phase continuity is improved. • Estimates for pressure can be improved through the use of a filtering

parameter, limiting pressure variations to the central region of the interface where the equilibrium profile is linear

interface where the equilibrium profile is linear.

• These improvements enable the use of the diffuse interface technique on unstructured grids, a requirement for most practical applications

here it ma be of se where it may be of use.

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Scalar Transport

Equations:

Convective Cahn-Hilliard Equation:

 

 

0

J

U

Diffusive Flux, , maintains the interface profile through chemical potential gradients :

 

 

t

J

potential gradients, :

 

 





f

J

2 2 2 - Capillary Width - Mixing Energy Density

- Free energy density governing interfacial dynamics and the equilibrium profile of

f

Multi-Phase CFD:

Approach Limitations

The ability of each method to resolve complex multi-phase flow is often limited by shortcomings inherent to the numerical approach.

Lagrangian Eulerian

Lagrangian

Front Tracking Sharp Interface (VOF) Diffuse Interface (PF)

Eulerian

• Book keeping • CSF model • Larger grid needed to • Complex Topology

• Coalescence & Breakup

• Coal. & Breakup • Interface smearing

and reconstruction

resolve interface • 4thorder derivative 

High order schemes

S d

While a number of these limitations have been addressed the associated

• CSF model • Spontaneous drop shrinkage

While a number of these limitations have been addressed, the associated increase in complexity often results in a method which is too cumbersome

for general application to multi-phase flow problems.

Pressure Profiles:

Method Comparison

Phase Field Grad Gamma

Phase Field Grad Gamma

Références

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