TY - CONF
T1 - Transient flow and particle deposition in the respiratory tract
T2 - 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
AU - Murga, Alicia
AU - Ohashi, Seigo
AU - Li, Chung Gang
AU - Bale, Rahul
AU - Tsubokura, Makoto
N1 - Funding Information:
This research was partially supported by JST CREST (Issue name: Development of the integrated risk assessment system for the viral droplet infection on a supercomputer and its social implementation), Grant Number JPMJCR20H7, Japan.
Publisher Copyright:
© 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Due to the worldwide pandemic, estimation of inhaled dose through in silico models has become crucial. The present study compares airflow distribution and particle deposition inside the respiratory tract using RANS and LES modelling. RANS approach underestimated particle deposition because it only solves the mean flow, affecting particle path.
AB - Due to the worldwide pandemic, estimation of inhaled dose through in silico models has become crucial. The present study compares airflow distribution and particle deposition inside the respiratory tract using RANS and LES modelling. RANS approach underestimated particle deposition because it only solves the mean flow, affecting particle path.
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M3 - Paper
AN - SCOPUS:85159151898
Y2 - 12 June 2022 through 16 June 2022
ER -