# L09 LectureSlides 2015-Spring CHY

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### Transcript of L09 LectureSlides 2015-Spring CHY

1AerodynamicsandFlow L9

Chungen Yin

[email protected]; 30622577

Spring 2015

Turbulent Reacting Multiphase Flows (5 lectures)

2

L9:TurbulentNonreactingMultiphaseFlows Turbulent particle dispersion Turbulence modulation Particle-wall interaction

2

3Turbulentparticledispersion(1)

3

Small particle A particle is referred to as small, if its diameter is smaller than the Kolmogorov

length scale;

as medium, if its diameter is between the Kolmogorov scale and the integral scale;

In dilute, particle-laden flows of interest, the majority of particles are small, based on this definition.

)(21 vuvuAC

dtvdm pfDp

vtdxd

For small, heavy particles/droplets in dilute two-phase flow,

The particle trajectory & velocity can be determined at each time, provided the knowledge of the flow field at that moment

4

Turbulentparticledispersion(2)

4

Number density

Position

The interaction between turbulent eddies and immersed small particles is referred to as turbulent particle dispersion.

Observation: dispersive effect on particles released from the same location; Key parameters: (1) particle size, with respect to eddy size; (2) fluid and

particle properties, e.g., fluid viscosity & density and particle density; (3) flow properties, e.g., distribution of turbulent kinetic energy.

inertia dominated viscosity dominated

5Stochastictracking(1). Randomvel.fluctuation

5

A Gaussian distributed random velocity fluctuation is used: also known as discrete random walk (DRW) model or eddy lifetime model.

)(21 vuvuAC

dtvdm pfDp

uUu

In DRW model, each eddy is characterized by

A Gaussian distributed random velocity fluctuation, u, v, w; A time scale

Random velocity fluctuations for k- and k-3/2''' kwvu : normally distributed random number

6

Stochastictracking(2).Interactiontime

6

),(minninteractio ce tt

A time scale, accounting for the Characteristic eddy lifetime and Crossing trajectory effect, is used as the integral time.

The time for particle to cross an eddy: estimated from eddy size/drift velocity

For small particle (moving with fluidzero drift velocity): the integral time becomes fluid Lagrangian integral time

kAfL

eL

fLe 2 )ln(rfLe orr : a uniform random number [0, 1]

18,with1ln

23/2pp

vev

evc

dkBLvu

Lt

7Stochastictracking(3)

7

In literature, a range of values have been suggested for A and B:

23ntconstraithewith41.0135.0

BAA

For assumptions of isotropic turbulence and that the characteristic size of the eddy is the Kolmogorov scale, the constants A and B can be approximated by

4/34/3 ; 23

CBCA )09.0( C

Over the interaction time, , the particle is assumed to interact with the fluid phase eddy with a given instantaneous velocity. When

this time is reached, a NEW value of will be applied to generate

new random velocity fluctuations ( new instantaneous velocity).

ninteractiot

DRW model constants (A & B)

(FLUENT: A=0.15 by default, 0.3 recommended for RSM)

8

Particlecloudtracking(1)

8

Number density

Position

Track the statistical evolution of a cloud of particles about a mean

trajectory: the concentration of particles about a mean trajectory is

represented by a Gaussian PDF whose variance is based on the degree

of particle dispersion due to turbulent fluctuations.

9Particlecloudtracking(2)

9

The PDF used is derived from Taylors analysis:

)(,)(),,,( ttxftzyxP ii

Its possible to define a normalized Lagranian autocorrelation function:

)(

)()(),(

22

2121

tu

tututtR

i

iipL

This can be assumed to exhibit an exponential decay.

10

Example

10

Instantaneous particle dispersion from simulation of plane wake

8

4

0

-4

-88

4

0

-4

-80 4 8 12 16 20 0 4 8 12 16 20

Particle Stokes number: St=0.01

St=1

St=10 St=100

11

Example(cont.)

11

1. Large-scale vortex structures are important controlling mechanisms for

the particle dispersion process.

2. Particle dispersion levels tend to maximize at intermediate values of

Stokes numbers, 0(1)0(10).

3. Particles of intermediate-St tend to concentrate preferentially near the

outer boundaries of large-scale vortex structures.

12

Turbulentmodulation:Whatisit

12

Turbulence properties: characterized by, such as, turbulent kinetic energy, Reynolds stresses, spectra, or two-point correlations.

Turbulence modulation: one or more of the statistical properties of the carrier phase turbulence is changed by the presence of particles.

Most frequently, refers to changes in the carrier-phase turbulent kinetic energy (either enhanced or decayed).

However, TKE changes do not fully describe the changes to the turbulence.

13

Turbulentmodulation:Whyisitimportant

13

Attenuation of TKE as a function of mass loading ratio on the center-plane of fully developed channel flow for glass beads (150 m) and copper beads (70 m).

p 5.510-5; a mean inter-particle distance of 20dp. Dilute flowSuch a reduction (by a factor >7) in TKE may completely change the characters of the turbulence and the behavior of a reactor.

14

Turbulencemodulation:Keyparameters

14

Then even more parameters are important!

(A lot of turbulence length scales!)f

pld

f

pp

dvu

Re

f

vSt

Mass loading ratio, Particle volume fraction, Density ratio

If 2nd phase: one size, spheres. Additional dimensionless parameters

If 2nd phase: polydisperse, non-spherical

15

Turbulencemodulation:Mechanisms

15

The exact mechanisms: not very well understood; the available

theories often can NOT predict the level or even sign of the change in

TKE.

Some basic mechanisms: all them require the particles be large

enough that they can not follow the flow and there is a substantial

instantaneous relative velocity between two phases.

16

Turbulencemodulation:Mechanism1

16

Through the carrier-phase mean velocity

The effects of carrier mean flow distortions on the carrier turbulence can be

predicted by single-phase turbulence models.

ipj

i

jij

ij

i Fxu

xxp

xuu

tu

,)()(

If the mean carrier-phase velocity field is changed by the addition of particles,

the mean strain field and the turbulence production rate will also be changed.

17

Turbulencemodulation:Mechanism2

17

Unsteady particle wakes behind relatively large particles.Important when p is not small and Rep is in the vortex shedding regime.

(Experimental) Dye streaklines produced by dye introduced at cylinder surface (Rep=140)

18

Turbulencemodulation:Mechanism3

18

Extra dissipation of turbulence by particles.

19

Turbulencemodulation:Mechanism3(cont.)

19

Som

e

Fluctuating kinetic energy of the particles

Producing local flow distortions around each particle

A particle that cannot respond to fluctuations exerts a force on the fluid that opposes the relative motion. When the particles are heavy, the relative motion is produced mostly by the carrier-phase fluctuations.

The cloud of dispersed particles produces a non-uniform force field that instantaneously opposes the carrier-phase velocity fluctuations, extracting energy from the turbulence.

20

Turbulencemodulation:Mechanism4

20

Preferential concentration & sweeping of particles.

Preferential concentration occurs when particles (with particle time constants comparable to eddy time scales) are swept out of vortex cores and concentrated in convergence zones.

Particles apply an angular impulse opposing the vortex rotation as they are spun out of a simple vortex.

For St1, the ratio of the angular impulse to the initial angular momentum of the vortex is 1.3 MLR / St. This would act to suppress vortices (whose time scales are close to the particle time constant).

21

Turbulencemodulation:Mechanism5

21

Eddy distortion.

Particles are expected to produce significant local distortion of the small-scale motions.

The fact that the particle diameter is comparable to the Kolmogorov scale (dp/) indicates that the particles experience significant velocity gradients rather than the locally uniform flow assumed in most models. This means that the particles experience forces transverse to the relative velocity.

The fact that the average particle spacing (Lbetween-p) is so large means the force applied is not continuous. This is likely to produce a significant distortion of the energy-containing eddies and could lead to a higher turbulent dissipation rate.

22

Howtostudymodulation:Analytical(1)

22

A common approach to modeling the effects of particles on turbulence

is to treat the particles as applying a continuous force field onto the

fluid phase where the force is the reaction force (to the particle drag).

(1) Write down the modified N-S equations, by including fluid-particle inter-phase

forces

(2) Apply Reynolds decomposition; subtract the mean flow component; square

& average the fluctuati