# 5.4. PIC04: Particle-Settling in Fluid¶

## 5.4.1. Description¶

MFiX-TFM, MFiX-DEM and MFiX-PIC are used to simulate the problem of particle settling. Spatial locations of concentration fronts at time t = 1 seconds are compared with the analytical expression given by,

(5.4)$x(t) = x_{0} + t u_{shock}$

The velocity of propagation of the shock wave (derived in Appendix B) is given by,

(5.5)$u_{shock} = - \Bigg( j + \frac{\big(\epsilon_{s} \epsilon_{g} u_{r}\big)_{B} - \big(\epsilon_{s} \epsilon_{g} u_{r}\big)_{A}}{\epsilon_{sB} - \epsilon_{sA}} \Bigg)$

where the subscripts A and B denote the regions on either side of the shock as shown in Fig. 7.2. The volumetric flux is 0 in the case of settling. Also, the particle volume fraction in region A is 0 for the shock front traveling downwards. Hence the location of the shock is given by,

(5.6)$x(t) = x_{0} -t\big(\epsilon_{g0} u_{r0}\big)$

where, $$\epsilon_{g0}$$ is the initial gas volume fraction. The relative velocity using the Stokes drag law is given by,

(5.7)$u_{r0} = \frac{g \Delta \rho d_{p}^{2}}{18 \mu_{g}}\epsilon_{g0}^{3.65}$

The location of the shock front corresponding to filling is given by,

(5.8)$x(t) = -t \Bigg( \frac{\big(\epsilon_{s}^{*} \epsilon_{g}^{*} u_{r}^{*}\big) - \big(\epsilon_{s0} \epsilon_{g0} u_{r0}\big)_{A}}{\epsilon_{s}^{*} - \epsilon_{s0}} \Bigg)$

## 5.4.2. Setup¶

Table 5.7 PIC-04 Setup, Initial and Boundary Conditions.

Computational/Physical model

3D, Transient

Multiphase

Gravity

Thermal energy equation is not solved

Turbulence equations are not solved (Laminar)

Uniform mesh

First order upqind discritization scheme

Geometry

Coordinate system

Cartesian

Grid partitions

x-length

0.02

(m)

5

y-length

1.0

(m)

100

z-length

0.02

(m)

5

Material

Gas density, $$\rho_{g}$$

1000.0

(kg·m-3)

Gas viscosity, $$\mu_{g}$$

0.001

(Pa·s)

Solids Type

PIC,DEM,TFM

Diameter, $$d_{p}$$

0.01

(m)

Density, $$\rho_{s}$$

2700

(kg·m-3)

Solids Properties (PIC)

Pressure linear scale factor, $$P_{s}$$

10.0

(Pa)

Exponential scale factor, $$\gamma$$

3.0

(-)

Statistical weight

5

(-)

Solids slip velocity factor

0.5

(-)

Solids Properties (DEM)

Coefficient of friction, $$\mu_{pp},\mu_{pw}$$

0.1

(-)

Coefficient of restitution, $$e_{pp},e_{pw}$$

0.9

(-)

Spring constant, $$k_{pp},k_{pw}$$

100.0

(kg·m-1)

Initial Conditions

x-velocity, $$u_{g}$$

0.0

(m·s-1)

y-velocity, $$v_{g}$$

0.0

(m·s-1)

z-velocity, $$w_{g}$$

0.0

(m·s-1)

Location of the shock

0.8

Gas volume fraction, $$\epsilon_{g}$$

1.0

(-)

Solids concentration, $$\epsilon_{s0}$$

0.10, 0.15, 0.20

(-)

Gas volume fraction at packing, $$\epsilon_{g}^{*}$$

0.4

(-)

Pressure, $$P_{g}$$

101,325

(Pa)

Boundary Conditions

Cyclic in x, z directions

South boundary

0.0

(m·s-1)

Free-slip wall

North boundary

0.0

(m·s-1)

Free-slip wall

## 5.4.3. Results¶

The solutions from MFiX-PIC, MFiX-DEM, and MFiX-TFM are compared with the analytical expression in Fig. 5.4. Linear-hat scheme is used to interpolate between the Eulerian and Lagrangian fields. MFiX-TFM solutions based on continuum formulation are observed to be free from oscillations in the volume fraction field for all the cases considered. Besides, the time evolution of wave fronts is also shown for simulations corresponding to $$\epsilon_{s0}=0.15$$ in Fig. 5.5. The results are in good agreement with the analytical solution. Further, the influence of initial solids fraction on the modelling accuracy is tested. The shock wave corresponding to filling (traveling upwards) is predicted reasonably well by all the models. This verifies the implementation of algorithms corresponding to packed regions. The analytical values along with model predictions are summarized in Table 5.8 and Table 5.9 for settling and filling wave fronts. The location of the filling wave front is determined by the occurrence of first local minima in the gradient of void fraction $$\epsilon_{g}$$, while the settling wave front is determined by the last local minima in the gradient. The uncertainty values associated with the computational results correspond to cell width (0.01 m) since the shock front is estimated from discrete values.

 $$\epsilon_{s0}=0.10$$ $$\epsilon_{s0}=0.15$$ $$\epsilon_{s0}=0.20$$ Analytical 0.466 0.544 0.607 MFiX-PIC 0.471 ± 0.01 0.531 ± 0.01 0.585 ± 0.01 MFiX-DEM 0.455 ± 0.01 0.515 ± 0.01 0.575 ± 0.01 MFiX-TFM 0.485 ± 0.01 0.555 ± 0.01 0.605 ± 0.01
 $$\epsilon_{s0}=0.10$$ $$\epsilon_{s0}=0.15$$ $$\epsilon_{s0}=0.20$$ Analytical 0.058 0.075 0.085 MFiX-PIC 0.065 ± 0.01 0.087 ± 0.01 0.101 ± 0.01 MFiX-DEM 0.073 ± 0.01 0.095 ± 0.01 0.115 ± 0.01 MFiX-TFM 0.065 ± 0.01 0.085 ± 0.01 0.095 ± 0.01 Fig. 5.4 Solutions for different initial particle concentrations: (a) 0.10, (b) 0.15, (c) 0.20. Fig. 5.5 Time evolution of shock fronts with 0.15 initial concentration.