14/03/2020
Ya que está de moda el Coronavirus, también podemos analizar la dispersión de partículas mediante la mecánica de fluidos computacional.
Current novel Coronavirus (Covid-19) outbreak is an alarming situation throughout the world because it's a new illness, we do not know exactly how coronavirus spreads from person to person. Similar viruses are spread in cough droplets. It is critical to predict the risk of airborne infection to take appropriate measures to control, and mitigate the risk. Airborne contagious agents are typically in the droplets generated from coughing, breathing, sneezing, or talking of an infected patient. The droplets are dispersed in the air and then inhaled by a susceptible person.
Through discrete modeling of expiratory droplets with in a concerned domain, can be used by medical professionals to estimate the spatial and temporal distribution of risk of infection to various people in gatherings like passengers in the cabin, and customers in the mall. Airborne contagious agents are typically in the droplets generated from coughing, breathing, sneezing, or talking of an infected patient. The droplets are dispersed in the air and then inhaled by a susceptible person.
CFD is used to compute particle transport in an enclosed environment, either Eulerian or Lagrangian method could be used. The Eulerian method is usually used to predict particle concentration while the Lagrangian method to determine particle dispersion pattern Through literature it is found that the Eulerian and Lagrangian approach predictions were similar under steady state. But for the unsteady scenario the predictions using the Lagrangian methods were better than the Eulerian approach. CFD Lab have high expertise in Multiphase and discrete modeling. Please share your queries with CFD Lab at cfdlab.pk@gmail.com . To provide you quality services is our first priority.
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