Jawad, Poonam (2021) Identification of the effectiveness of various commercial COVID -19 Masks using ANSYS software. [USQ Project]
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Abstract
The latest outbreak of Covid-19 has wreaked havoc in the world since its emergence in December 2019 and has been causing significant loss of life and economic loss globally. Various preventive measures and guidelines have been issued by health professionals to prevent the spread of the virus such as good hand hygiene, social distancing, cough and sneeze etiquettes, and most importantly face masks. To expand the scientific underpinning of such recommendations, Computational Fluid Dynamics can provide simulations-based analysis to emphasise the importance of face masks in reducing the community spread of corona virus.
Although virus can transmit through many modes, but airborne transmission of larger cough and sneeze droplets and aerosols is considered in this study which can carry virus laden particles through air. The aim of this project is to identify the efficacies of various commercially available face masks which is achieved by the computational fluid dynamics of human exhalation cough flow field. It is found that larger droplets fall on the ground and smaller particles remain suspended in the air for longer periods of time. The simulations are based on Reynolds Averaged Navier-Stokes (RANS) approach and
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Yousef, Belal |
| Qualification: | Bachelor of Engineering (Honours) (Mechanical) |
| Date Deposited: | 03 Jan 2023 02:33 |
| Last Modified: | 26 Jun 2023 01:30 |
| Uncontrolled Keywords: | COVID-19, mask, virus, aerosol, computational fluid dynamics, human cough |
| URI: | https://sear.unisq.edu.au/id/eprint/51822 |
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