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MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot...

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MP-PIC Modeling of the Slot Problem Governing Equations: Fluid: Continuity: (1) Momentum: (2) (3) where: density of the fluid phase volume fraction of the fluid phase velocity of the fluid phase pressure viscosity of the fluid phase acceleration due to gravity rate of momentum exchange per unit volume between the fluid and particle phases Equation of Motion of the Particles (4) where: 1
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Page 1: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

MP-PIC Modeling of the Slot Problem

Governing Equations:

Fluid:

Continuity:

@

@t(�f�f) +r � (�f�fuf ) = 0 (1)

Momentum:

@

@t(�f�fuf ) +r � (�f�fufuf) = �rp+r � [�f�fruf ] (2)

+r � [�f�f(ruf )T ]�r

�2

3�f�fr � uf

�� F+ �f�fg (3)

where:

�f �! density of the fluid phase�f �! volume fraction of the fluid phaseuf �! velocity of the fluid phasep �! pressure�f �! viscosity of the fluid phaseg �! acceleration due to gravityF �! rate of momentum exchange per unit volume between

the fluid and particle phases

Equation of Motion of the Particles

dup

dt= Dp(uf � up)�

1

�prp+ g �

1

�p�pr� (4)

where:

1

Page 2: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

up �! velocity of the particleuf �! velocity of the fluid at particle location�p �! density of the particle�p �! volume fraction of the particle phase� �! interparticle stressDp �! drag coefficient

Dp is given by:

Dp = Cd3

8

�f�p

juf � upj

r(5)

where Cd =24

Re

���2:65f +

1

6Re2=3��1:78f

�(6)

Re is the Reynolds number defined as

Re =2�f juf � upjr

�f(7)

where:r �! radius of the particle

Interparticle stress� is given by

� =Ps�

�p

�cp � �p(8)

wherePs �! is a constant with units of pressure� �! constant�cp �! is the particle volume fraction at close packing.

In this approach particles are grouped into computational parcels each con-tainingNp particles with identical density, radius and velocity at a given location,xp.

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Page 3: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

Particle properties are then mapped to the Eulerian grid for the numerical so-lution using a bilinear interpolation function.

The particle volume fraction,�p, on the Eulerian grid for a given distributionof particles in the domain is given by

�pij =1

Vij

Xp

NpVpS(xp)ij (9)

where:�pij �! particle volume fraction at Eulerian grid pointijVij �! volume of the Eulerian cellVp �! particle volumeS(xp)ij �! interpolation function

Similarly the fluid-particle momentum exchange is given by

Fij =1

Vij

Xp

Sij[xp]

�Dp(uf � up)�

1

�prp

�Npmp (10)

where:mp �! mass of the particle

Equation for particle position:

Particle position is updated using the following equation:

dxp

dt= up (11)

For more details please see: Andrews, M.T. & O’Rourke, P.J., 1996, “Themultiphase particle-in-cell (MP-PIC) method for dense particle flow,” Int. J. Mul-tiphase Flow, vol 22, pp. 379–402.

We solved the system of equations using control-volume method with stag-gered grids for velocity and pressure.

3

Page 4: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

Results

2D:

In Figure 1 we have presented the result for a 2D simulation of the slot prob-lem.

We have a channel of length,x = 5mchannel height,y = 0.25m

Gravity acts in negativey directionFluid particle mixture enters the channel atx = 0Inlet velocity of the mixture= 0:062m=s

Fluid density,�f = 1000 kg/m3

Particle density,�p = 1400 kg/m3

Particle radius,r = 0:03 cmFluid viscosity,�f = 0:025 N-s/m2

29 new parcels enter the computational domain atx = 0 at each time-step.dt = 0:14s.Parcels are equally spaced along the channel height. Each parcel has 4063 parti-cles.ThusNp = 4063.Concentration of the particles flowing in = 0.0491

4

Page 5: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

3D:

In Figures 2a - 2c we have presented the results for a 3D simulation of the slotproblem.

The channel is shown below.

x

zlength= 5 cm

height = .25 m

width = 0.0063 m

y

gravity

flow in

Gravity acts in negativey directionFluid particle mixture enters atz = 0Inlet velocity = 0.062 m/s�f = 1000 kg/m3

�p = 1400 kg/m3

r = 0.03 cm�f = 0.025 N-s/m2

145 new parcels enter the computational domain atz = 0 at each time step.dt = 0.14s.The parcels are positioned at equally spaced 29 locations along the height of thechannel and equally spaced 5 locations along the width of the channel.Each parcel has 3 particles.Concentration of the particles flowing in = 0.029. At the instant presented inFigures 2a-2c, time,t = 12.6s.Total number of parcels = 13050

Figure 2a shows the parcels inserted in the channel atz = 0. Parcels areinserted at 29 locations along the height of the channel. As they move forwardin the z direction with the flow they fall due to gravity acting in the negativeydirection.

5

Page 6: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

Figure 2b shows the parcels in they-x planes which is perpendicular to thedirection of flow. Parcels are inserted at 5 locations along the width of the channel.This is indicated by 5 vertical lines of higher parcel concentration. As the parcelsfall in the negativey direction they disperse from their originalx-location in thechannel.

Figure 2c shows the parcels in the z-x planes.

6

Page 7: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

0 0.5 1

x-axis parallel to channel length (=5m)

0

0.2

0.4

0.6

0.8

1y-

axis

para

llelt

och

anne

lhei

ght(

=0.2

5m).

Figure 1: View of parcel positions for 2 dimensional simulation.Time = 18.2s, Number of parcels = 3770. Gravityacts in negative y direction. Flow comes in atx = 0.

7

Page 8: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

0 0.005

x axis parallel to channel width (=0.0063m)

0

0.1

0.2

y-axispar allel to

c hann elhe ight (=0. 25m)

X

Y

Z

Figure 2b: View in the y-x planes for the 3 dimensional simulation.Gravity acts in negative y direction.(Dimensions are not to scale)

8

Page 9: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

0

0.5

1

1.5

z-axispa ralle lto

chan nell engt h(= 5m

)

0 0.005

x axis parallel to channel width (=0.0063m)

XY

Z

Figure 2c: View in the z-x planes for the 3 dimensional simulation.Flow comes in at z=0 plane.(Dimensions are not to scale)

9

Page 10: MP-PIC Modeling of the Slot Problem - aem.umn.edu · PDF fileMP-PIC Modeling of the Slot Problem Governing ... grouped into computational parcels each con- ... of equations using control-volume

0 0.5 1 1.5

z-axis parallel to channel length (=5m)

0

0.1

0.2

y-axisp aral lelt o

ch ann elh eigh t(= 0.25 m)

X

Y

Z

Figure 2a: View in the y-z planes for the 3 dimensional simulation

.

.Flow comes in at z=0 plane. Gravity acts in negative ydirection. (Dimensions are not to scale)

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