Investigation of flow pattern in upper human airway including oral and nasal inhalation by PIV and CFD

Nguyen Lu Phuong, Kazuhide Ito

研究成果: ジャーナルへの寄稿学術誌査読

57 被引用数 (Scopus)

抄録

Breathing is one of the most essential processes in the human body. The basic functions of breathing are to exchange gases (supplying oxygen from ambient air and removing carbon dioxide from the blood) and also to exchange heat and moisture through mucous surfaces of the airway. During an average lifetime, human beings experience significant exposure to indoor air and countless of contaminants/particles via inhalation. In this study, experimental and numerical results of flow fields in a realistic respiratory model were obtained. Flow patterns in a realistic replica model of the human respiratory tract were investigated with particle image velocimetry (PIV) under three constant breathing conditions; 7.5, 15 and 30 L/min. Computational fluid dynamics (CFD) analyses were conducted on turbulent models with boundary conditions corresponding to the experimental models. We used four RANS turbulence models to predict airflow in a realistic human airway model: two low Reynolds (Re) number-type k-ε turbulence models, RNG k-ε model, and the SST k-ω model. The CFD results were compared with PIV data and showed relatively good agreement in trachea region in all cases.

本文言語英語
ページ(範囲)504-515
ページ数12
ジャーナルBuilding and Environment
94
DOI
出版ステータス出版済み - 12月 1 2015

!!!All Science Journal Classification (ASJC) codes

  • 環境工学
  • 土木構造工学
  • 地理、計画および開発
  • 建築および建設

フィンガープリント

「Investigation of flow pattern in upper human airway including oral and nasal inhalation by PIV and CFD」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル