RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD

COVID-19 disease caused by SARS-CoV-2 virus is transmitted in air mainly by respiratory droplets as a result of breathing, sneezing, or cough. Droplets handling using ventilation system is necessary in high risk environment such as dental clinics, but current related standards are limited; therefore...

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Main Author: Riezaldy Ahmad, Afief
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/79263
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:79263
spelling id-itb.:792632023-12-18T15:09:16ZRESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD Riezaldy Ahmad, Afief Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project respiratory droplet, ventilation system, CFD method INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/79263 COVID-19 disease caused by SARS-CoV-2 virus is transmitted in air mainly by respiratory droplets as a result of breathing, sneezing, or cough. Droplets handling using ventilation system is necessary in high risk environment such as dental clinics, but current related standards are limited; therefore, the study of virus transmission in dental clinic’s ventilation system is still needed. This study evaluates the droplet transmission risk in dental clinic at Hasan Sadikin Hospital Bandung using three-dimensional computational fluid dynamics (CFD) model for one cough case originated from dental patient. Air flow, droplet trajectories and droplet evaporation equations were modelled as an input in ANSYS Fluent software, along with suitable boundary conditions. The droplet trajectories, dispersion and evaporation were then analyzed to obtain the virus transmission risk. To further reduce the risk, system modifications and simulations were subsequently conducted by means of increasing the ventilation rate, changing the airflow inlet into diffuser, adding extra exhaust duct, increasing relative humidity, and inactivating the air conditioner. Respiratory droplets were completely removed from the air in 8 min, which is lower than recommended disinfection time for dental clinics of 15 min. Droplets count left in the air after 2.16 min was 73 droplets, below the maximum number allowed of 100 droplets. Modification simulation showed tha adding extra exhaust duct would effectively shorten the droplets removal time to 0.75 min and lowered their numbers by 83.5% to 12 droplets. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
spellingShingle Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
Riezaldy Ahmad, Afief
RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
description COVID-19 disease caused by SARS-CoV-2 virus is transmitted in air mainly by respiratory droplets as a result of breathing, sneezing, or cough. Droplets handling using ventilation system is necessary in high risk environment such as dental clinics, but current related standards are limited; therefore, the study of virus transmission in dental clinic’s ventilation system is still needed. This study evaluates the droplet transmission risk in dental clinic at Hasan Sadikin Hospital Bandung using three-dimensional computational fluid dynamics (CFD) model for one cough case originated from dental patient. Air flow, droplet trajectories and droplet evaporation equations were modelled as an input in ANSYS Fluent software, along with suitable boundary conditions. The droplet trajectories, dispersion and evaporation were then analyzed to obtain the virus transmission risk. To further reduce the risk, system modifications and simulations were subsequently conducted by means of increasing the ventilation rate, changing the airflow inlet into diffuser, adding extra exhaust duct, increasing relative humidity, and inactivating the air conditioner. Respiratory droplets were completely removed from the air in 8 min, which is lower than recommended disinfection time for dental clinics of 15 min. Droplets count left in the air after 2.16 min was 73 droplets, below the maximum number allowed of 100 droplets. Modification simulation showed tha adding extra exhaust duct would effectively shorten the droplets removal time to 0.75 min and lowered their numbers by 83.5% to 12 droplets.
format Final Project
author Riezaldy Ahmad, Afief
author_facet Riezaldy Ahmad, Afief
author_sort Riezaldy Ahmad, Afief
title RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
title_short RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
title_full RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
title_fullStr RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
title_full_unstemmed RESPIRATORY DROPLET DYNAMICS ANALYSIS OF DENTAL CLINIC IN HOSPITAL USING CFD
title_sort respiratory droplet dynamics analysis of dental clinic in hospital using cfd
url https://digilib.itb.ac.id/gdl/view/79263
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