Inthavong Kiao, Ma Jiawei, Shang Yidan, Dong Jingliang, Chetty Annicka S R, Tu Jiyuan, Frank-Ito Dennis
School of Engineering - Mechanical, RMIT University, VIC, Australia.
School of Engineering - Mechanical, RMIT University, VIC, Australia.
Clin Biomech (Bristol). 2019 Jun;66:97-106. doi: 10.1016/j.clinbiomech.2017.10.006. Epub 2017 Oct 7.
A major issue among computational respiratory studies is the wide variety of nasal morphologies being studied, caused by both inter-population and inter-subject variations.
Six nasal cavity geometries exhibiting diverse geometry variations were subjected to steady inhalation flow rate of 15L/min. to determine if any consistent flow behaviour could be found.
Despite vastly different geometries we were able to identify consistent flow patterns including relatively high velocity in the nasal valve region, followed by flow continuing predominantly in the inferior half of the airway. We also found conformity among models where the inhaled air reached a near-conditioned state by the middle of the nasal cavity. Air from the front of the face reached the olfactory regions while air from the lateral sides of the face moved through the inferior half of the nasal cavity.
The ability to predict gross flow features provides a baseline flow field to compare against. This contributes towards establishing well defined flow predictions and be used as a comparison for future larger studies.
在呼吸计算研究中,一个主要问题是所研究的鼻腔形态多种多样,这是由群体间和个体间的差异造成的。
对六种呈现出不同几何形状变化的鼻腔几何模型施加15L/min的稳定吸入流速,以确定是否能发现任何一致的流动行为。
尽管几何形状差异很大,但我们能够识别出一致的流动模式,包括鼻瓣区域相对较高的流速,随后气流主要在气道的下半部分持续流动。我们还发现,在模型中,吸入的空气在鼻腔中部达到接近调节状态时存在一致性。来自面部前方的空气到达嗅觉区域,而来自面部侧面的空气则通过鼻腔的下半部分流动。
预测总体流动特征的能力提供了一个可与之比较的基线流场。这有助于建立明确的流动预测,并可作为未来更大规模研究的比较对象。