Corona Virus Patient Steady Breathing in Clean Room

$160.00 Student Discount

  • The problem numerically simulates the Corona Virus Patient’s Breathing in Clean Room using ANSYS Fluent software.
  • We design the 3-D model by the Design Modeler software.
  • We mesh the model with ANSYS Meshing software, and the element number equals 5666870.
  • We use the Discrete Phase Model (DPM) to define the release of coronavirus particles.
  • We investigate two factors to evaluate Thermal Comfort: PMV (predicted mean vote) and PPD (predicted percentage of dissatisfaction).
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The journal file in ANSYS Fluent is used to record and automate simulations for repeatability and batch processing.
editable geometry and mesh allows users to create and modify geometry and mesh to define the computational domain for simulations.
The case and data files in ANSYS Fluent store the simulation setup and results, respectively, for analysis and post-processing.
Geometry, Mesh, and CFD Simulation methodologygy explanation, result analysis and conclusion
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Corona Virus Patient Steady Breathing in Clean Room, ANSYS Fluent CFD Simulation Training

This project simulates the Corona Virus Patient STEADY Breathing in Clean Room using ANSYS Fluent software.

Hospital rooms need air conditioning. These air conditioners can continuously transfer the flow of fresh air into the interior of the room to clean the polluted air around the patient. These air conditioners are also used to provide proper cooling and heating.

In this simulation, a room with a bedridden patient is examined. The patient has corona and spreads the coronavirus particles to the environment. The patient’s mouth is distinctly defined as the source of respiratory coronavirus transmission.

Also, the patient’s body surface has a temperature of 308 K, which is one of the symptoms of his disease. The fresh air from air purification systems causes the polluted air and virus particles to be removed from the room’s interior. Secondly, it helps to cool the patient’s body surface and create thermal comfort for the patient.

Therefore, several panels are defined on the room’s ceiling for the entry of fresh air with a temperature of 294 K, and the air outlet is also from the panels of the lower part of the side walls.

The 3D geometry is drawn by Design Modeler software. The model is then meshed by ANSYS Meshing software. The model mesh is unstructured, and 5666870 cells have been created.

Corona Virus Methodology

In this modeling, the Discrete Phase Model (DPM) is used to define patient respiration and the release of coronavirus particles. If it is necessary to study the behavior of several discrete particles in a continuous medium, the solution approach must be changed from Eulerian to Lagrangian.

In this approach, their behavior is investigated by tracking discrete particles in a continuous fluid. When a corona patient breathes, the coronavirus spreads as discrete particles from the patient’s mouth to the surrounding air as a continuous environment.

So there is a need to use the Lagrangian perspective. Therefore, DPM must be used to modulate fluid behavior and define an injection for virus particles injected from the patient’s mouth. The virus particle type is inert, and the injection type is surface.

If the particles cross the boundary, the escape is used. If particles hit the wall boundary, the trap or reflect is used.

Corona Virus Conclusion

After simulation, contours of velocity, temperature, and pressure are obtained. Air conditioning pathlines are also provided. These results show that fresh airflow from the ceiling panels enters the room’s interior and is directed to the outlet panels after complete circulation inside the room.

Since DPM is used, particles of the virus released from the patient’s mouth are shown. The figures show that these virus particles are affected by the airflow of the air conditioning system. It means that they are directed by the fresh airflow to the outlet panels to be cleaned inside the room.

The concept of thermal comfort becomes important when modeling air conditioning systems. In this simulation, two parameters, PMV (predicted mean vote) and PPD (predicted percentage of dissatisfied), are used as factors to evaluate the degree of thermal comfort.

PMV value was obtained according to people’s votes in the different experimental thermal conditions. This parameter depends on various variables, including air temperature, humidity, airspeed, people’s physical activity, etc.

This parameter varies between -3 to +3. PPD value is then defined as an exponential function of PMV. This parameter indicates people’s degree of satisfaction or dissatisfaction with the thermal conditions of the environment. The results show that the values of PMV and PPD are suitable in terms of thermal comfort.


  1. Avatar Of Benjamin Beahan

    Benjamin Beahan

    How does this simulation model the spread of the coronavirus in a patient’s room?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      This simulation uses advanced CFD techniques to model the spread of the coronavirus in a patient’s room. It takes into account factors such as air flow, temperature, and humidity, which can all affect virus transmission.

  2. Avatar Of Kirsten Hagenes

    Kirsten Hagenes

    What’s the particle type in injection?

    • Avatar Of

      MR CFD Support

      We use the surface injection type to simulate this project.

  3. Avatar Of Thelma Rippin

    Thelma Rippin

    This site always provides the latest content to the scientific community.

  4. Avatar Of Elissa Morissette Iv

    Elissa Morissette IV

    How does this simulation take into account the impact of airflow on virus spread?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The simulation uses advanced fluid dynamics models to simulate air flow in the patient’s room. It considers factors such as air velocity and turbulence, which can affect virus transmission.

  5. Avatar Of Prof. Addie Senger I

    Prof. Addie Senger I

    How does this simulation model the impact of temperature and humidity on virus spread?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The simulation includes advanced heat and mass transfer models to simulate the impact of temperature and humidity on virus spread. These factors can affect the survival and transmission of the virus in the air.

  6. Avatar Of Brant Brekke Iii

    Brant Brekke III

    How does this simulation model the impact of room occupants on virus spread?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The simulation includes models for room occupants, who can emit virus particles into the air. It can simulate the impact of factors such as breathing rate, coughing, and sneezing on virus spread.

  7. Avatar Of Mr. Keshaun Hagenes V

    Mr. Keshaun Hagenes V

    Hello, we need this type of CFD analysis. Can you do it?

    • Avatar Of

      MR CFD Support

      Hi, You can send your project to the following addresses:
      +90 (535) 951 97 42
      [email protected]

  8. Avatar Of Dr. Devante Nienow Md

    Dr. Devante Nienow MD

    Can this simulation be used to evaluate the effectiveness of different air conditioning systems in preventing virus spread?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Yes, the simulation can be adjusted to evaluate the effectiveness of various air conditioning systems. By accurately simulating virus spread, it can help identify the most effective air conditioning designs for preventing virus transmission.

  9. Avatar Of Haylie Krajcik

    Haylie Krajcik

    Can this simulation be used to evaluate the impact of different ventilation strategies on virus spread?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Yes, the simulation can be adjusted to evaluate the impact of various ventilation strategies on virus spread. This includes different ventilation rates, air distribution methods, and filtration systems.

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