Exploring the role of nasal hair in inhaled airflow and coarse dust particle dynamics in a nasal cavity: A CFD-DEM study
Exploring the role of nasal hair in inhaled airflow and coarse dust particle dynamics in a nasal cavity: A CFD-DEM study
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DOI：
10.1016/j.powtec.2023.118710
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发表时间：
2023-09
影响因子：
5.2
通讯作者：
Ahmadreza Haghnegahdar;Rahul Bharadwaj;Yu Feng
中科院分区：
文献类型：
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作者：
Ahmadreza Haghnegahdar;Rahul Bharadwaj;Yu Feng
本文提出了一种新的耦合计算流体动力学-离散元方法（CFD-DEM）模型，用于模拟鼻腔内的气流和吸入颗粒动力学，考虑了现有CFD模拟中经常忽略的鼻毛和气流之间的流固耦合作用。CFD-DEM模型基于虚拟鼻腔几何形状，将鼻毛表示为植入鼻腔内壁的柔性纤维。模拟了有三种不同直径（40、95和120 μm）的鼻毛存在时的吸入空气-颗粒输运动力学，并与无鼻毛时的模拟结果进行了比较。直径范围为5至15 μm的多分散颗粒，与全球粗尘统计数据一致，以216 mL/s至630 mL/s的流速吸入，代表从休息到运动的人鼻呼吸条件。CFD-DEM模拟结果表明，对于3E+3和2 E +4 μ m2 cm 3/s之间的撞击参数值对应的颗粒尺寸范围，有和没有鼻毛的情况下沉积分数预测的差异超过20%。这强调了在准确模拟鼻腔内吸入颗粒运输动力学中考虑鼻毛相互作用的重要性。较薄的鼻毛比较厚的鼻毛更灵活，导致更明显的变形，并允许更多的颗粒穿透鼻前庭而不被捕获。此外，较细的毛发在鼻前庭中占据较小的横截面积，由于拦截和惯性撞击导致的颗粒沉积减少而导致过滤能力降低。较粗的鼻毛比较细的鼻毛能更有效地捕捉粗颗粒（> 5 μm）。此外，随着鼻毛直径的增加，鼻腔壁上的颗粒沉积减少。鼻毛在捕获较小颗粒方面表现出更高的效率。总之，CFD-DEM模型，能够模拟鼻毛运动，可以作为下一代的硅工具，研究生物流体动力学在鼻腔。
This study presents a novel coupled computational fluid dynamics-discrete element method (CFD-DEM) model for simulating airflow and inhaled particle dynamics in the nasal cavity, considering the fluid-structure interactions between nasal hair and airflow, which are often overlooked in existing CFD simulations. The CFD-DEM model, based on a virtual nasal cavity geometry, represents nasal hairs as flexible fibers implanted on the inner wall of the nasal cavity. Inhaled air-particle transport dynamics were simulated in the presence of nasal hairs with three different diameters (40, 95, and 120 μm), and the results were compared with simulations without nasal hairs. Polydisperse particles with diameters ranging from 5 to 15 μm, aligning with global coarse dust statistics, were inhaled at flow rates between 216 mL/s and 630 mL/s, representing human nose breathing conditions from rest to exercise. The CFD-DEM simulation results indicate that the differences in deposition fraction predictions between cases with and without nasal hairs exceed 20% for particle size ranges corresponding to impaction parameter values between 3E+3 and 2E+4 μm2cm3/s. This emphasizes the importance of accounting for nasal hair interactions in accurately simulating inhaled particle transport dynamics within the nasal cavity. Thinner nasal hairs, more flexible than thicker ones, lead to more significant deformation and allow more particles to penetrate the nasal vestibule without being trapped. Additionally, thinner hairs occupy a smaller cross-section area in the nasal vestibule, resulting in lower filtration capability due to decreased particle deposition from interception and inertial impaction. Thicker nasal hairs trap more coarse dust particles (> 5 μm) effectively than thinner nasal hairs. Moreover, as the nasal hair diameter increases, particle deposition on the nasal cavity wall decreases. Nasal hairs demonstrate higher efficiency in trapping smaller particles. In conclusion, the CFD-DEM model, capable of modeling nasal hair motion, can serve as a next-generation in silico tool for investigating biofluid dynamics in the nasal cavity.