Evaluation of the droplet from face mask to indoor social distancing range by using ANSYS fluent

Mohd Nazri, Mohd Nazrin (2022) Evaluation of the droplet from face mask to indoor social distancing range by using ANSYS fluent. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The COVID-19 virus attacked whole world since it began in Wuhan, China. The World Health Organisation (WHO) has already declared a worldwide pandemic due to the increasingly dangerous and highly contagious infection. A social distance is different at different locations and 1 meter social distancing is less effective in curbing the transmission of COVID-19 virus. This study aims to simulate the particle droplet travel in distance between two virtual human models based on internal environment parameters such as particle sizing (µm), particle velocities (m/s), indoor temperature (ºC) and disposable surgical masks. Besides, evaluate droplets from face masks to the range of internal social distancing. ANSYS Fluent CFDs were used to simulate the inventory parameters. To illustrate the results obtained, both distances of 1 meter and 1.83 meters were simulated in different conditions such as sneezing, coughing and exhaling. The results demonstrate that in both distance, sneezing difficult to prevent COVID-19 transmission compared to cough and exhale which could still stop the spread of the virus from the face mask. A distance of 1.83 meters is recommended and sufficient to stop the spread of COVID-19 and break its chain for case coughing and exhaling. Besides 1 meter distance is quiet sufficient for exhale condition.

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