Grain Drying Device CFD Simulation, 2-way DPM Model

$300.00 Student Discount

In this project, a Rice drying device using two-way DPM has been simulated and the results of this simulation have been investigated.

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Grain Drying Device CFD Simulation Using Two-way DPM Model, Ansys Fluent Training

In this project, we studied a Grain Drying Device CFD Simulation using the Two-way Discrete Phase Model(DPM) & Species Model in Ansys Fluent software, and then the results were investigated. Hot air enters the drying device, and then 120000 rice grains with 10% moisture are injected randomly for 6 seconds. The evaporation process continues for 9 seconds after the complete injection. Furthermore, the hot surfaces are in contact with the hot exhaust smoke of the engine, which provides an efficient condition for the drying device.

When rice is harvested, it contains 20-30% moisture which can corrupt the grains in the shortest time. Therefore, drying the grains after harvesting is important before storage and sending them to the rice mill. The rice drying device provides a mechanical method to put rice grains in the exposure of ambient hot air to increase moisture evaporation.

Geometry & Mesh

The 3D geometry was generated in Design Modeler software. A 3m*1m channel box contains four triangular passages of 20cm in length.

Rice Drying


In addition, an unstructured mesh grid was carried out using Ansys meshing software, and overall, 556145 elements were generated.

Rice Drying

The figure below depicts the boundaries that were defined in this simulation.

Rice Drying

Grain Drying Device CFD Simulation

Several assumptions have been considered to simulate Rice Drying Device, including:

  • The simulation is Transient(unsteady) to capture the behavior of fluid and particles over time.
  • The pressure-based solver type was used due to the incompressibility of the working fluid.
  • The Two-way Discrete Phase Model(DPM) was utilized, so the grains of rice particles were injected with our desired condition into the fluid domain.
  • Gravitational acceleration effects were considered -9.81m/s^2 in the y-direction.

The following table represents a summary of the solution:



Energy On
Viscous k-epsilon Realizable Standard Wall Function
Species Species Transport Mixture-template
Discrete Phase Model
Interaction with continuous phase
Unsteady particle tracking


Injection Type

Number of streams

Surface – inlet


Particle Type Droplet

Evaporating species

Diameter distribution




Diameter 0.005m Stop Time 6s
Temperature 363.15K Velocity Magnitude 0m/s
Start Time 0s Total Flow Rate 0.5kg/s
Mixture-template Definition method Fluent database
Material name Air
Droplet Particle Definition method Fluent database
  Material name Water-liquid

Volatile component fraction = 10%

Cell zone condition
Material name Mixture-template
Boundary condition
Inlet Type Velocity inlet
Velocity magnitude 1m/s
Turbulent intensity 5%
Turbulent viscosity ratio 10
Temperature 363.15K
DPM BC Type escape
Outlet Type Wall
DPM BC Type reflect
Hot walls Type Wall
Temperature 773.15K
DPM BC Type reflect
Solver configuration
Pressure-velocity coupling Scheme SIMPLE
Spatial Discretization Gradient Least squares cell-based
Pressure Second-order
Momentum Second-order upwind
Turbulent kinetic energy First-order upwind
Turbulent dissipation rate First-order upwind
H2o Second-order upwind
Energy Second-order upwind
Initialization Initialization methods Standard Initialization
Run calculation Time step size 0.05
Number of time steps 300
Max iterations per time step 40


The particle injection into the rice drying device starts with 10000 rice grains. The injection process lasts for 6 seconds. Evaporation is happening by the first second but ignoring that as an assumption for simplification, we can get to the H2o mass fraction graph showing the desired variable over time. The moisture(H2o) reaches its highest value at the end of injection, nearly 0.015 and then, it takes approximately 9 seconds to fall to 0 due to evaporation.

Rice Drying


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