We present a numerical investigation of the airflow dynamics and particle transport through an averaged human nasal cavity. The effect of particle size and breathing rate on the deposition patterns are explored. The simulations reveal that smaller particles penetrate deeper into the airway, whereas larger particles agglomerate near the anterior portion of the nasal cavity. Increasing the flow rate augmented the penetration of the particles. The complex interplay of the finite particle size and the flow inertia decided the spatial deposition of the particles. The findings from this study demonstrate the efficacy of state-of-art simulation frameworks for targeting respiratory disorders.

我们对通过平均人类鼻腔的气流动力学和粒子传输进行了数值研究。探索了粒径和呼吸速率对沉积模式的影响。模拟结果表明，较小的颗粒会深入气道，而较大的颗粒会聚集在鼻腔前部附近。增加流速增加了颗粒的渗透。有限颗粒尺寸和流动惯性的复杂相互作用决定了颗粒的空间沉积。这项研究的结果证明了针对呼吸系统疾病的最先进模拟框架的功效。