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Discrete Particles in a Jet Periodic Double Shear Flow - PanelDiscrete
Particles in a Jet Periodic Double Shear Flow - Panel

Pre-Analysis & Start-Up

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This site is currently under construction. Please come back after it is fully built. Thank you!

In the Pre-Analysis & Start-Up step, we'll review the following:

  • Theory for Fluid Phase
  • Theory for Particle Phase
  • Choosing the Cases

Pre-Analysis:

A particle laden flow is a multiphase flow where one phase is the fluid and the other is dispersed particles. Governing equations for both phases are implemented in Fluent. To run a meaningful simulation, a review of the theory is necessary.

Fluid Phase:

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In

...

the

...

simulations

...

considered

...

for

...

this

...

tutorial,

...

the

...

fluid

...

flow

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is

...

a

...

2D

...

perturbed

...

periodic

...

double

...

shear

...

layer

...

as

...

described

...

in

...

the

...

first

...

section.

...

The

...

geometry

...

is

...

Lx

...

=

...

59.15m,

...

Ly

...

=

...

59.15m,

...

and

...

the

...

mesh

...

size

...

is

...

chosen

...

as

...

Latex
{\large$$\Delta x = L_x / n_

...

x$$}

...

in

...

order

...

to

...

resolve

...

the

...

smallest

...

vorticies.

...

As

...

a

...

rule

...

of

...

thumb. One

...

typically

...

needs

...

about

...

20

...

grid

...

points

...

across

...

the

...

shear

...

layers,

...

where

...

the

...

vorticies

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are

...

going

...

to develop.

...

The

...

boundary

...

conditions

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are

...

periodic

...

in

...

the

...

x

...

and

...

y

...

 directions.

...

The

...

fluid

...

phase

...

satisfies the

...

Navier-Stokes

...

Equations:

...


-Momentum

...

Equations

Latex
{latex}\large 
\begin{eqnarray*} 
\rho_f (\frac{d \textbfmathbf{u}_f}{dt}+\textbfmathbf{u}_f \cdot \nabla \textbfmathbf{u}_f)=- \nabla p + \mu \nabla ^2 \textbfmathbf{u}_f + \textbfmathbf{f} 
\end{eqnarray*} 
{latex}

-Continuity

...

Equation

Latex
{latex} \large 
\begin{align*} 
\frac{\partial \rho_f}{\partial t} + \nabla \cdot (\rho_f \textbfmathbf{u}_f)=0
\end{align*} 
{latex} 

where

...

Latex
{\large$$\mathbf{u}

...

$$}

...

is

...

the

...

fluid

...

velocity,

...

Latex

...

{

...

\large$$p$$}

...

the

...

pressure,

...

Latex
{\large$$\rho_

...

f$$}

...

the

...

fluid

...

density

...

and

...

Latex
{\large$$\mathbf{f}

...

$$}

...

is

...

a

...

momentum

...

exchange

...

term

...

due

...

to

...

the

...

presence

...

of

...

particles.

...

When

...

the

...

particle

...

volume

...

fraction

Latex
{\large$$\phi$$}
and the particle mass loading
Latex
{\large$$M=\phi \rho_p/\rho_

...

f$$}

...

are

...

very

...

small,

...

it

...

is

...

legitimate

...

to

...

neglect

...

the

...

effects

...

of

...

the

...

particles

...

on

...

the

...

fluid:

...

Latex
{\large$$\mathbf{f}

...

$$}

...

can

...

be

...

set

...

to

...

zero.

...

This

...

type

...

of

...

coupling

...

is

...

called

...

one-way.

...

In

...

these

...

simulations

...

the

...

fluid

...

phase

...

is

...

air,

...

while

...

the

...

dispersed

...

phase

...

is

...

constituted

...

of

...

about

...

400

...

glass

...

beads

...

of

...

diameter

...

a

...

few

...

dozens

...

of

...

micron.

...

This

...

satisfies both

...

conditions

...

Latex
{\large$$\phi \ll 

...

1$$}

...

and

...

Latex
{\large$$M \ll 

...

1$$}

One way-coupling is legitimate here. See ANSYS documentation (16.2) for further details about the momentum exchange term.

Particle Phase:

...

The

...

suspended

...

particles

...

are

...

considered

...

as

...

rigid

...

spheres

...

of

...

same

...

diameter

...

d,

...

and

...

density

...

Latex
{\large$$\rho_

...

p$$}
.

...

Newton’s second

...

law

...

written

...

for

...

the

...

particle

...

i

...

stipulates:

Latex
{\large $$m
{latex}$m_p \frac{d \textbfmathbf{u}_p^i}{dt}=\textbfmathbf{f}_{ex}^i${latex^i$$}

where

...

Latex
{\large$$\mathbf{u}_

...

p^i$$}

...

is

...

the

...

velocity

...

of

...

particle

...

i,

...

Latex
{\large $$\mathbf{f}_{ex}

...

^i$$}

...

the

...

forces

...

exerted

...

on

...

it,

...

and

Latex
{\large $$m_p$$}
its mass.
In order to know accurately the hydrodynamic forces exerted on a particle one needs to resolve the flow to a scale significantly smaller than the particle diameter. This is computationally prohibitive. Instead, the hydrodynamic forces can be approximated roughly to be proportional to the drift velocity ref3:

Latex
{\large $$ {latex}$m_p${latex} its mass.
In order to know accurately the hydrodynamic forces exerted on a particle one needs to resolve the flow to a scale significantly smaller than the particle diameter. This is computationally prohibitive. Instead, the hydrodynamic forces can be approximated roughly to be proportional to the drift velocity:
{latex}$\frac{d \textbfmathbf{u}_p^i}{dt}=\frac{\textbfmathbf{vu}_f-\textbfmathbf{u}_p^i}{\tau_p}${latex$$}
where {latex}$\tau_p${latex} is known as the particle response time. This equation needs to be solved for all particles present in the domain. This is done in Fluent via the module: Discrete Phase 

where

Latex
{\large $$\tau_p=\rho_p D^2/(18\mu)$$}
is known as the particle response time,
Latex
{\large $$\rho_p$$}
the particle density and D the particle diameter. This equation needs to be solved for all particles present in the domain. This is done in Fluent via the module: Discrete Phase Model(DPM).

 

Choosing the Cases:

...

The

...

particle

...

response

...

time

...

measures

...

the

...

speed

...

at

...

which

...

the

...

particle

...

velocity

...

adapts

...

to

...

the

...

local

...

flow

...

speed.

...

Non-inertial

...

particles,

...

or

...

tracers,

...

have

...

a

...

zero

...

particle

...

response

...

time:

...

they

...

follow

...

the

...

fluid

...

streamlines.

...

Inertial

...

particles

...

with

...

Latex
{\large$$\tau_p \neq 

...

0$$}

...

might

...

adapt

...

quickly

...

or

...

slowly

...

to

...

the

...

fluid

...

speed

...

variations

...

depending

...

on

...

the

...

relative

...

variation

...

of

...

the

...

flow

...

and

...

the

...

particle

...

response

...

time.

...

This

...

rate

...

of

...

adaptation

...

is

...

measured

...

by

...

a

...

non-dimensional

...

number

...

called

...

Stokes

...

number

...

representing

...

the

...

ratio

...

of

...

the

...

particle

...

response

...

time

...

to

...

the

...

flow

...

characteristic

...

time

...

scale.

Latex
{\large$$St
{latex}$\St = \frac{\tau_p}{\tau_f}${latex}
 
In these $$}

In these simulations,

...

the

...

characteristic

...

flow

...

time

...

is

...

the

...

inverse

...

of

...

the

...

growth

...

rate

...

of

...

the

...

vortices

...

in

...

the

...

shear

...

layers.

...

This

...

is

...

also

...

predicted

...

by

...

the

...

Orr-Sommerfeld

...

equation.

...

For

...

the

...

particular

...

geometry

...

and

...

configuration

...

we

...

used

...

in

...

this

...

tutorial,

...

the

...

growth

...

rate

...

is

...

Latex
{\large$$\gamma = 0.1751 s^{-1} = \frac{1}{\tau_f}$$}
.

...

When

...

St

...

=

...

0

...

the

...

particles

...

are

...

tracers.

...

They

...

follow

...

the

...

streamlines

...

and,

...

in

...

particular,

...

they

...

will

...

not

...

be

...

able

...

to

...

leave

...

a

...

vortex

...

once

...

caught

...

inside.

...

When

Latex
{\large$$St \gg 

...

1$$}
,

...

particles

...

have

...

a

...

ballistic

...

motion

...

and

...

are

...

not

...

affected

...

by

...

the

...

local

...

flow

...

conditions.

...

They

...

are

...

able

...

to

...

shoot

...

through

...

the

...

vorticies

...

without

...

a

...

strong

...

trajectory

...

deviation.

...

Intermediate

...

cases

...

Latex
{\large$$St \approx 

...

1$$}

...

have

...

a

...

maximum

...

coupling

...

between

...

the

...

two

...

phases:

...

particles

...

are

...

attracted

...

to

...

the

...

vorticies,

...

but

...

once

...

they

...

reach

...

the

...

highly

...

swirling

...

vortex

...

cores

...

they

...

are

...

ejected

...

due

...

to

...

their

...

non

...

zero

...

inertia.

...

In

...

this

...

tutorial,

...

we

...

will

...

consider

...

a

...

nearly

...

tracer

...

case

...

St

...

=

...

0.2,

...

an

...

intermediate

...

case

...

St

...

=

...

1

...

and

...

a

...

nearly

...

ballistic

...

case

...

St

...

=

...

5.

...

Expected Results

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Go to Step 2: Geometry

Go to all FLUENT Learning Modules

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