Abstract
To establish a new simplified approach to quantify the impact of surgical intervention on nasal airflow, we used voxel-based computational fluid dynamics simulations to analyze nasal airflow under unsteady flow conditions mimicking a sniff, which involves brief inhalation accompanied by rapid acceleration. The time-transient distribution of the flow rate in the coronal cross-section was investigated to validate the results of this voxel method against those of conventional boundary-fitted method. Despite a simple approach using coarse voxel grids, the voxel method accurately reproduced rapid changes in flow distribution during a sniff. We also found that correctly modeling rapid changes in the characteristic flow structure in a nasal cavity (including a jet posterior to the nasal valve and a recirculating flow in the upper anterior region of the cavity) is important for reproducing the unsteady flow distribution during a sniff. Thus, the voxel-based simulations can be used to assess the dynamics of unsteady nasal airflows.
Original language | English |
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Pages (from-to) | 37-43 |
Number of pages | 7 |
Journal | Transactions of Japanese Society for Medical and Biological Engineering |
Volume | 56 |
Issue number | 2 |
DOIs | |
Publication status | Published - Jan 1 2018 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
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Voxel-based simulation of nasal airflow during a sniff. / Kimura, Shinya; Kimura, Yusuke; Sera, Toshihiro; Ono, Kenji; Tanaka, Gaku.
In: Transactions of Japanese Society for Medical and Biological Engineering, Vol. 56, No. 2, 01.01.2018, p. 37-43.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Voxel-based simulation of nasal airflow during a sniff
AU - Kimura, Shinya
AU - Kimura, Yusuke
AU - Sera, Toshihiro
AU - Ono, Kenji
AU - Tanaka, Gaku
PY - 2018/1/1
Y1 - 2018/1/1
N2 - To establish a new simplified approach to quantify the impact of surgical intervention on nasal airflow, we used voxel-based computational fluid dynamics simulations to analyze nasal airflow under unsteady flow conditions mimicking a sniff, which involves brief inhalation accompanied by rapid acceleration. The time-transient distribution of the flow rate in the coronal cross-section was investigated to validate the results of this voxel method against those of conventional boundary-fitted method. Despite a simple approach using coarse voxel grids, the voxel method accurately reproduced rapid changes in flow distribution during a sniff. We also found that correctly modeling rapid changes in the characteristic flow structure in a nasal cavity (including a jet posterior to the nasal valve and a recirculating flow in the upper anterior region of the cavity) is important for reproducing the unsteady flow distribution during a sniff. Thus, the voxel-based simulations can be used to assess the dynamics of unsteady nasal airflows.
AB - To establish a new simplified approach to quantify the impact of surgical intervention on nasal airflow, we used voxel-based computational fluid dynamics simulations to analyze nasal airflow under unsteady flow conditions mimicking a sniff, which involves brief inhalation accompanied by rapid acceleration. The time-transient distribution of the flow rate in the coronal cross-section was investigated to validate the results of this voxel method against those of conventional boundary-fitted method. Despite a simple approach using coarse voxel grids, the voxel method accurately reproduced rapid changes in flow distribution during a sniff. We also found that correctly modeling rapid changes in the characteristic flow structure in a nasal cavity (including a jet posterior to the nasal valve and a recirculating flow in the upper anterior region of the cavity) is important for reproducing the unsteady flow distribution during a sniff. Thus, the voxel-based simulations can be used to assess the dynamics of unsteady nasal airflows.
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U2 - 10.11239/jsmbe.56.37
DO - 10.11239/jsmbe.56.37
M3 - Article
AN - SCOPUS:85067103810
VL - 56
SP - 37
EP - 43
JO - BME = Bio medical engineering / henshu, Nihon ME Gakkai
JF - BME = Bio medical engineering / henshu, Nihon ME Gakkai
SN - 1347-443X
IS - 2
ER -