COVID-19 Transient Breathing in the Operating Room
$330.00 Student Discount
- The problem numerically simulates COVID-19 Patient TRANSIENT Breathing in Operating Room using ANSYS Fluent software.
- We design the 3-D model by the Design Modeler software.
- We Mesh the model by ANSYS Meshing software, and the element number equals 4354238.
- We perform this simulation as unsteady (Transient).
- We use the Species Transport Model to define oxygen, carbon dioxide, etc, for air conditioning applications.
- We use the Discrete Phase Model (DPM) to define particle injection from the patient’s mouth.
- We use the UDF to define breathing flow rate.
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Description
COVID-19 Patient Transient Breathing in the Operating Room CFD Simulation, ANSYS Fluent Training
The problem simulates the COVID-19 Transient Breathing in the Operating Room airflow from a patient’s mouth by ANSYS Fluent software. We perform this CFD project and investigate it by CFD analysis.
In fact, in the present case, a particular operating room has been designed that is equipped with ventilation and air conditioning systems. On the other hand, the patient receives oxygen and exhales carbon dioxide every time he inhales and exhales.
The main purpose of this simulation process is to allow fresh air (oxygen-carrying) to flow continuously into the room’s interior rather than expel polluted air from the patient’s mouth to the environment.
Ventilation systems and air conditioners designed on the room’s ceiling and floor are responsible for circulating fresh air inside the room and directing it from the side pores to the outside environment.
The model consists of a cubic room with dimensions of 2.9 m ⨯ and 2.23 m ⨯ , 3.7 m, so a hospital bed and a patient are designed on it. Also, six circular holes are considered fresh air inlet flow, and five rectangular holes are considered to flow outlet sections in the room’s sidewalls.
The current model is three-dimensional and is drawn using Design Modeler software. Because the main purpose of the problem is to focus on the exhaled airflow from the patient’s mouth, the patient’s oral surface is considered the inlet boundary.
The meshing is done using ANSYS Meshing software. The mesh type is unstructured, and the element number is 4354238. Meshing is smaller in the areas adjacent to the internal borders and has higher accuracy.
Due to the dependence on respiration over time, the present problem is unsteady and has a time step of 0.01 s.
COVID-19 Methodology
The fresh air flow entering the room’s interior is composed of a combination of oxygen and nitrogen with a ratio of 3.76. Exhaust air from the patient’s mouth also contains carbon dioxide.
Therefore, the Species Transport model has been used in the present simulation. Thus, the airflow with an oxygen mass fraction of 0.23 and nitrogen with a mass fraction of 0.77 and without any percentage of carbon dioxide from the room’s air conditioners enters the room’s interior space.
This fresh airflow has a speed of 1 m/s and a temperature of 293.15 K.
Also, because the flow of air consisting of oxygen, nitrogen, and carbon dioxide in the form of exhaled air comes out of the patient’s mouth as a source, a Discrete Phase Model (DPM) has been used; Because in this model, the particles that make up the flow of the exhaled gaseous species are tracked, this type of view is called Lagrangian view in examining the fluid behavior of the particles.
In this model, it is assumed that the exhaled air from the patient’s mouth has oxygen with a mass fraction of 0.16, carbon dioxide with a mass fraction of 0.04, and a temperature of 310.15 K.
Also, the input flow rate from the oral area is defined as the UDF. In reality, when breathing, the mouth constantly inhales, and the nose exhales; But in the present model, only the mouth is assumed to be a constant source for both inhaling and exhaling.
Therefore, both inhalation and exhalation should be defined for the oral area. So to determine the velocity of the incoming airflow from the mouth to the interior of the room, a UDF is used.
The magnitude of the airflow velocity is 0.25 m/s; So, in each 2.5 s interval, the value becomes negative or positive, depending on whether the action is inhaled or exhaled. So the input velocity in the mouth area has a positive value at the exhalation time because it rejects the air.
At the time of the inhalation, it has a negative value because it receives air.
COVID-19 Conclusion
We use the DPM when the aim is to investigate the behavior of the particles from a Lagrangian and discrete perspective.
In the present model, the exhaled airflow, including oxygen, nitrogen, and carbon oxide, is transmitted from the patient’s mouth as a particle to the inner space of the operating room. By selecting the unsteady particle tracking mode, the behavior of the discrete airborne particles is affected over time.
So, we can quickly analyze the CORONAvirus particle in the operation room in the presence of air conditioning and ventilation systems in terms of time.
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Elisa Boyer –
your website is so much better than other CFD websites, helpful for a better understanding of CFD and flow.
Josianne Barton –
Hello MR-CFD
I want to simulate Corona Virus patient in the market, in which they are very close to each other less than 1 m apart and 1 m, 2 m I wanna see when they are sitting while the patient is standing and bith sitting, and other cases.
MR CFD Support –
Hello dear friend
To Order Your Project or benefit from a CFD consultation, contact our experts via email ([email protected]), online support tab, or WhatsApp at +1 (903) 231-3943.
Tito Mueller PhD –
Thank You for the great tutorial.
Mrs. Alanna McClure –
How does this simulation model the process of droplet evaporation?
MR CFD Support –
The simulation includes advanced models for droplet evaporation, which is a critical factor in the spread of COVID-19. It can simulate the impact of factors such as droplet size, temperature, and humidity on droplet evaporation
Silas Schroeder –
I was particularly impressed by the air quality assessment aspect of this simulation for understanding airflow in an operating room scenario. Is it possible to tailor this simulation to include other air pollutants beyond COVID-19 that could emerge in a medical environment?
MR CFD Support –
We appreciate your interest and positive feedback on our COVID-19 operating room air quality simulation. The system is designed to be flexible and can indeed be modified to include a variety of different air pollutants that may be present in a medical environment, such as anesthetic gases or other airborne pathogens. The fluid dynamics models can be adjusted to account for the properties of different pollutants, including density, particle size, and chemical composition.
Ed Stroman IV –
The approach using both Species Transport and DPM models seems well-thought-out. Did the simulation account for temperature variations from human breathing?
MR CFD Support –
Absolutely, the simulation considered temperature variations resulting from the patient’s breath. Exhaled air was modeled to have a temperature of 310.15 K, different from the fresh air temperature entered into the room, which assists in tracking the spread pattern effectively within the ambient operating room environment.
Mr. Baron Keebler –
Great training for understanding patient exhale airflow in operating rooms. The inclusion of mechanisms like the Species Transport model and DPM adds depth, while using UDFs for inhalation and exhalation velocities reveals the temporary dynamics of breathing. Very informative!
MR CFD Support –
Thank you for your positive feedback! We’re delighted to hear that you found the training informative and valuable in gaining an understanding of airflow dynamics related to COVID-19 in operating room settings. If you have further questions or need more information, please don’t hesitate to reach out.
Dr. Ebba Runolfsson –
How does this simulation model the impact of ventilation on the spread of COVID-19?
MR CFD Support –
The simulation includes advanced models for ventilation, which is a critical factor in the spread of COVID-19. It can simulate the impact of factors such as ventilation rate, ventilation direction, and ventilation design on the spread of the virus.
Isadore Hettinger –
Can this simulation be used to evaluate the impact of different operating procedures on the spread of COVID-19?
MR CFD Support –
Yes, the simulation can be adjusted to evaluate the impact of different operating procedures on the spread of COVID-19. This includes different surgical procedures, patient positioning, and staff movements.
Akeem Glover –
I recently finished the COVID-19 Transient Breathing in the Operating Room simulation course using ANSYS Fluent and found it to be very informative. The methodology clarified the process, and the step-by-step instructions were particularly helpful. The use of the Species Transport model and DPM was very insightful in understanding how airflows and particles move in critical environments. It was fascinating to see how the UDF was used to simulate inhalation and exhalation. The simulations provided a clear visualization of potential virus spreading patterns, and I left the course with a better understanding of the importance of proper ventilation systems in healthcare settings. Your expert insights on these complex simulations are greatly appreciated!
MR CFD Support –
{“Comment”: “Your thoughtful remarks and recognition of our training course on the “COVID-19 Transient Breathing in the Operating Room” are tremendously valued. We are dedicated to providing comprehensive and in-depth simulations that can offer significant insights, particularly in such critical areas as healthcare. It is our privilege to contribute useful knowledge to this field during these challenging times, and it is heartening to know that we could impart valuable understanding. Should you have any further questions or wish to continue your education with more simulations, please do not hesitate to reach out. Thank you once again for your positive feedback.”
Juana Kuphal –
How does this simulation model the impact of air pressure on the spread of COVID-19?
MR CFD Support –
The simulation includes advanced models for air pressure, which can affect the dispersion of aerosols and droplets. It can simulate the impact of factors such as air pressure differences, pressure fluctuations, and pressure gradients on the spread of the virus.
Loyce Weissnat MD –
Can this simulation be used to evaluate the impact of different air filtration systems on the spread of COVID-19?
MR CFD Support –
Yes, the simulation can be adjusted to evaluate the impact of various air filtration systems on the spread of COVID-19. This includes different types of filters, filter efficiencies, and filter placements.
Bernhard Hermann –
How does this simulation take into account the impact of patient movement on the spread of COVID-19?
MR CFD Support –
The simulation includes advanced models for patient movement, which can significantly affect the spread of COVID-19. It can simulate the impact of factors such as movement speed, movement direction, and movement frequency on the spread of the virus.
Mr. Noe Littel Sr. –
The training was incredibly detailed and provided an excellent understanding of transient simulation related to airflow in an operating room. The methodology for tracking exhaled air particles using the DPM and Species Transport model was well-explained and executed
MR CFD Support –
Thank you so much for your kind feedback. We’re glad to hear that the training was comprehensive and useful to you. Your understanding and appreciation of our approach to simulating and analyzing complex airflows give us great joy. If you have any further questions or need assistance, please let us know.
Mertie Sauer –
Amazing detail in this simulation! It illustrates the complex dynamics of air flow around a patient in an operating room, which is critical for understanding the spread of airborne diseases. Kudos to the team for employing such a thorough approach with the Species Transport and DPM models. It’s an excellent contribution to safety procedures for healthcare environments during this pandemic.
MR CFD Support –
Thank you for your positive feedback on our COVID-19 Transient Breathing in the Operating Room CFD Simulation training. We are glad you appreciate the depth of detail and the usage of advanced models like Species Transport and DPM to ensure a comprehensive understanding of air flow dynamics. Safety in healthcare is paramount, and we strive to contribute valuable insights through our simulations. Thanks again for taking the time to recognize our efforts!
Nia Schneider PhD –
I’m impressed by the level of detail in the COVID-19 Operating Room simulation. What are the practical implications of the findings for hospital ventilation design?
MR CFD Support –
The simulation’s findings offer valuable insights for designing hospital ventilation systems by highlighting the airflow patterns and particle behavior in operating rooms. It helps establish guidelines for efficient fresh air circulation that minimizes the risk of airborne contaminant spread. Thank you for the positive feedback.
Miss Magnolia Wintheiser III –
Has the simulation accounted for the impacts of surgical staff movement on air flow and potential virus particle dispersion in the operating room, or does it only focus on airflow from the patient’s breathing?
MR CFD Support –
The simulation focuses on the airflow from the patient’s breathing and how ventilation systems affect this airflow. Surgical staff movement is not explicitly modeled, as the main objective is to track and analyze the path of droplets expelled during patient’s breathing.
Greta Howe –
I’m happy with the thoroughness of the CFD training for the operation room scenario. Could you please clarify if your training includes any practical tips or best practices for setting up ventilation in actual operating rooms to prevent the spread of contaminants?
MR CFD Support –
Our training focuses on providing comprehensive simulations and theoretical best practices based on CFD analysis to understand airflow patterns, particle behavior, and contaminant dispersions in operating room environments. However, for practical implementation and alignment with health and safety regulations within actual operating rooms, it is recommended to consult with healthcare design experts and professional engineers who specialize in HVAC systems adapted for medical settings.
Isabel Kihn –
Could you detail how the airflow is influenced by the patient’s breathing cycle in the simulation?
MR CFD Support –
In the simulation, we account for the patient’s breathing cycle dynamics by implementing UDFs to represent inhalation and exhalation cycles. The inlet velocity on the oral area alternates between a positive value to simulate the expulsion of air during exhalation, and a negative value for the inhalation phase. This cyclical airflow input captures the transient nature of the breathing process and affects the circulation and distribution of the particles within the operating room environment.
Ms. Ellen Kuhlman DDS –
This training was so in-depth and helpful! The combination of theory with practical simulation data made the learning process engaging. I now have a clearer understanding of how air particles move around an operating room and how important ventilation systems are in controlling the spread of airborne diseases like COVID-19.
MR CFD Support –
Thank you so much for your kind words! We are thrilled to hear that our training could provide you with a comprehensive understanding of airflow dynamics in the context of infectious diseases control. Your grasp of the importance of ventilation systems in healthcare settings is fundamental, and we’re glad our training could elucidate this aspect. We appreciate you taking the time to share your positive experience!
Lillian Nolan –
Fantastic resource! The simulation approach to study airflow really helps grasp the complexities of air circulation in clinical settings. It’s clear a great deal of effort went into the meticulous setup of species transport and DPM methods to accurately model the breath cycle in the operation room context. The insights gained could significantly impact safety protocols within medical facilities. Great job encapsulating a pressing real-world issue into a solvable simulation framework.
MR CFD Support –
Thank you for your positive feedback. We are thrilled to hear that you found the simulation to be a valuable resource in understanding airflow within clinical settings and appreciate your recognition of our efforts. Our goal is to provide insightful simulations that can contribute to the safety and well-being in real-world scenarios. Your review encourages us to continue delivering high-quality educational content. Thank you for your support!