You can simulate under EMP framework selecting the Discrete Quadrature S-Gamma model under solid phase physics and select S-Gamma Coalescence under interaction models.
Aerosol transport is encountered in different fields such as drug delivery (to understand the effects of aerosol particles on human health), as well as in particulate separation equipment that employ one or a combination of the below principles: inertial separation, gravity settling, electrostatic deposition, thermophoresis etc.,
In the nuclear industry, particle debris is formed after a nuclear blast which arise due to core melt and a subsequent release of vaporized fission products. Transport of aerosol matter within various chambers of the containment is encountered. It is important to understand its behavior such as settling, coagulation, nucleation, size distribution etc.,
Simulating the coagulation process involves a combination of different physical processes and is accomplished by selecting the following physics models.
Select EMP multiphase model; create gas phase and solid phase and associated models as shown below:
Gas Phase models Solid Phase models
As the coagulation process involves particle growth, we need to account for the change in particle diameter. This is accomplished using the population balance approach (S-Gamma model) along with the coalescence/breakup. Select Discrete Quadrature S-Gamma under Solid Phase physics. Discrete Quadrature S-Gamma Phase Interaction models account for the effects of breakup and coalescence on the predicted particle size distribution in a multiphase Continuous-Dispersed phase interaction.
Enable S-Gamma Coalescence as shown below under phase interaction.
Under S-Gamma Coalescence you have to provide two inputs for modelling:
Collision Rate: It is the probability of two particles of different sizes colliding during a time interval. You can specify a constant or field function, or the Turbulent method. If the flow is turbulent, you can use the Turbulent collision rate option.
Coalescence Efficiency: It is the probability that two particles of different sizes merge after a collision. You can specify any of the methods below.
This Completes the model set-up for simulating coagulation.