Unsteady analysis of the airflow in human nasal airway – a computational study
The cyclic information provides critical transient insight to the unsteady breathing which is largely unknown in a steady study. In the context of a fast-growing interest in nasal transport to accurately evaluate pollution impact and pathogen deposition, investigation on the flow and particle depositions under unsteady condition is valuable and highly desired.
Authors
- Jingliang Dong (ORCID: https://orcid.org/0000-0002-2812-6188)
- Syeda Reham Shahed
- Lin Tian (ORCID: https://orcid.org/0000-0002-7779-1926)
- Jiyuan Tu (ORCID: https://orcid.org/0000-0002-1264-4837)
Institutions
- MIT University (MK)
- Footscray Hospital (AU)
- Victoria University (AU)
- RMIT University (AU)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110136
- Citations
- 3
- Primary Topic
- Inhalation and Respiratory Drug Delivery
- Type
- article
- Field-Weighted Citation Impact
- 4.56