The human respiratory tract has a complex airflow pattern. If any obstruction is present in the airways, it will change the airflow pattern and deposit particles inside the airways. This is the concern of breath quality (inspired air), and it is decreasing due to the unplanned production of material goods. This is a primary cause of respiratory illness (asthma, cancer, etc.). Therefore, it is important to identify the flow characteristics in the human airways and airways with a glomus tumour with particle deposition. A numerical diagnosis is presented with an asymmetric unsteady-state light breathing condition (10 l/min). An in vitro human respiratory tract model has been reconstructed using computed tomography scan techniques and an artificial glomus tumour developed 2 cm above a carina on the posterior wall of the trachea. The transient flow characteristics are numerically simulated with a realizable (low Reynolds number) k–ɛ turbulence model. The flow disturbance is captured around the tumour, which influenced the upstream and downstream of the flow. The flow velocity pattern, wall shear stress and probable area of inflammation (hotspot) due to suspended particle deposition are determined, which may assist doctors more effectively in aerosol therapy and prosthetics of human airways illness.

人体呼吸道具有复杂的气流模式。如果气道中存在任何阻塞，它将改变气流模式并在气道内沉积颗粒。这是对呼吸质量（吸入的空气）的关注，由于物质产品的计划外生产，它正在减少。这是呼吸系统疾病（哮喘、癌症等）的主要原因。因此，识别具有颗粒沉积的血管球瘤的人气道和气道中的流动特征非常重要。数值诊断采用非对称非稳态轻呼吸条件 (10 l/min)。使用计算机断层扫描技术重建了体外人呼吸道模型，并在气管后壁隆突上方 2 厘米处形成了人造血管球瘤。k –ɛ 湍流模型。肿瘤周围的血流扰动被捕获，这影响了血流的上游和下游。确定由于悬浮颗粒沉积引起的流速模式、壁面剪切应力和可能的炎症区域（热点），这可以帮助医生更有效地进行气雾剂治疗和人类呼吸道疾病的假肢。