MAIA bb96820c
Multiphysics at AIA
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The Lagrangian particle tracking (LPT) solver is used to track a finite number of point particles in a Lagrangian frame of reference within a Eulerian phase. Applications of the LPT solver are versatile and are ranging from spray injection including particle breakup and evaporation over to particle-laden flows of small non-spherical biomass particles.
In the following an introduction on how to set up a simulation using the LPT solver is given.
Within the simulation framework m-AIA, the LPT solver is always coupled to one of the flow solvers. You are therefore invited to also take a look at the user guide of the corresponding flow solver (i.e. FV or LB). The coupling of LPT and flow solver is described in more detail in the numerical methods (c.f. Coupling).
In order to use the LPT solver, you must define a solver with the type
Simulations using the LPT solver be conducted using dimensionalized or non-dimensionalized quantities (recommended). The latter is activated by setting the property
In the general case, all particles are initialized with a predefined density and temperature, in the non-dimensionalized case the specified values must be non-dimensionalized with the reference density and temperature. The particle density and temperature can be set as follows:
The initialization of particle size, position and velocity depends on the method chosen by the particleInitializationMethod
. You can automatically initialize a given number of particles per cell. One or more diameters can be specified, by default it is assumed the particle particles are equally distributed among the given diameters. In addition, the initial particle velocity can be specified. This initialization method can be used by defining the following properties:
Another possibility is to initialize particles according to an input text file, which is especially useful for testing purposes. For this purpose, set the initialization method to particleInitializationMethod=4
and create a file called part.txt
which contains in each row the following initial particle information:
Further information on the implemented particle initialization methods can be found here.
In the LPT solver the particle movement is determined by integration of a given motion equation using a Predictor-Corrector scheme. Depending on the selected motion equation, additional analytical or empirical correction terms may be used. An overview of the existing motion equations and drag laws are given here and here.
As a starting point for your simulation the non-dimensional motion equation for inertial spherical particles using the Schiller-Naumann drag correction is recommended. This can be done by setting
Gravity effects are accounted for by specifying the Froude number
Re
and used by the LPT solver corresponds to the Reynolds number based on the stagnation point ( \(Re_0\)) rather than the infinity state ( \(Re_\infty\)). The LPT solver also supports two-way coupling, i.e., the modelling of fluid-particle interaction. In m-AIA, coupling mechanisms for momentum, mass and energy heat are implemented. In addition, evaporation can be considered. The added source terms can be redistributed to neighboring cells by activating the source term redistribution and specifying the number of redistributions layers. You can specify the corresponding properties as follows:
The LPT solver supports particle-Wall as well as Particle-Particle collisions (four-way coupling). Particle-Wall collisions can be activated by specifying
Particle-Particle can be specified using the particleCollisions
. Further information on the implemented modes is given here.
The LPT solver also offers Lagrangian point-particle models for particles with an ellipsoidal shape. The ellipsoidal particles can coexist next to spherical particles and have their own motion equations and drag laws as for the ellipsoidal point-particle model additional degrees of freedom must be considered due to the particle orientation. Ellipsoidal particles are activated using the property particleIncludeEllipsoids
. A rotational symmetric ellipsoid is well-defined by specifying its semi minor axis and a corresponding aspect ratio.
If you want to learn how to enable AMR for you simulation, read here. The list of all available sensors for the LPT solver can be found here.
The code snippet below shows a minimal example of the properties required by the LPT solver to conduct a simulation coupled with the Finite Volume solver. The LPT solver solves the non-dimensional motion equation for spherical particles extended with the Schiller-Naumann drag correction for the Lagrangian phase. In each cell of the domain, a particle with a diameter of \(0.01\) is spawned with \(0\) velocity. A gravitational force, defined through the Frm
property, acts on the particles in the z-direction. The definition of the Froude number is given in the mathematical modeling.
Example of the properties related to the LPT solver
Depending on your setup, the following additional properties could be of interest:
Property | Default | Description |
---|---|---|
particleSizeLimit | 1E-12 | Particles smaller than the defined size are removed. |
maxNoParticles | 1E6 | Defines the maximum number of particles per rank. |
particleExhangeBufferSize | 1000 | Defines the size of the buffer used to exchange particles. |
particleRespawn | false | Flag to respawn particles that left the domain. Particles are respawned on a plane defined by the property particleRespawnPlane |