Human Cough Virus Particles in the Coffee Shop, CFD Simulation Ansys Fluent Training

Description

The problem simulates the Human Cough Virus Particles in the Coffee Shop using ANSYS Fluent software. We perform this CFD project and investigate it by CFD analysis.

The present model is designed in three dimensions using Design Modeler software. The model’s geometry includes a computational domain of the interior of a coffee shop.

The meshing of this present model has been generated by Ansys Meshing software. The mesh grid is unstructured, and the curvature method focuses on grid-sensitive areas. The total cell number is 4578388.

Also, due to the nature of the present problem, the transient solver has been enabled.

Human Cough Methodology

In this Project, Ansys Fluent software simulates human cough virus particles in the coffee shop using two-way DPM. According to this definition of injection, human cough virus particles are physically expelled from the patient’s mouth by water droplets evaporating in space.

These virus droplets have a temperature of 310 K, a velocity of 31.85 m/s, and a mass flow of 0.018 kg/s, which are emitted at intervals of 0s to 0.1s.

The particle diameter of the virus is not constant during propagation, and the rosin-rambler-logarithmic distribution method is considered for the size of the diameters.

Following this method and the suitable formulation, the values related to the minimum, maximum, and average diameter size determine the exponential parameter of the spread and the number of diameters per injection.

It should be noted that the drop mode is applied when the species transport model is also activated.

The boundary conditions related to the discrete phase model are defined as particles at the patient’s mouth boundary with Escape mode, which means particles passing through this boundary.

The boundaries of people’s bodies and all the walls related to the tables and chairs have a wall film mode, and for the floor, use the Trap model, which means that particles are trapped and accumulate on these surfaces.

The present simulation process is unsteady and in a time interval for 3s with time steps equal to 0.01 s.

Moreover, the RNG k-epsilon model and energy equation are enabled to solve the turbulent fluid equations and calculate temperature distribution within the domain.

Human Cough Conclusion

At the end of the solution process, we obtain the virus particle tracking at the last second of the simulation.

This particle tracking is based on residence time. We also exported the animation of the virus dispersion and its disappearance over time, showing how the particles are dispersed inside the computational domain.