Luo H Y, Liu Y
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
J Biomech. 2009 Aug 25;42(12):1869-76. doi: 10.1016/j.jbiomech.2009.05.004. Epub 2009 Jun 2.
The particle deposition in a computerized tomography (CT)-scanned human lung was numerically investigated. The five-generation airway is extracted from the trachea to segmental bronchi of a 60-year-old Chinese male patient. Computations were carried out in the flow rate range of 210-630 ml/s (Reynolds number range of 1000-3000) and particle size of 2-10 microm (Stokes number range of 0.0007-0.049). To count the effect of laryngeal jet on trachea inlet, the trachea was extended and modified to simulate the larynx, consequently the inlet velocity profile is biased towards the rear wall. The laryngeal jet-induced turbulence was simulated using low Reynolds number (LRN) kappa-omega turbulent model. Particle deposition patterns, deposition efficiency and deposition factor were studied in detail. The turbulent flow has significant effect on the particle deposition, and the present deposition factor is compared well with the available data.
对计算机断层扫描（CT）扫描的人体肺部中的颗粒沉积进行了数值研究。从一名60岁中国男性患者的气管到段支气管提取了五代气道。在流速范围为210 - 630 ml/s（雷诺数范围为1000 - 3000）和颗粒尺寸为2 - 10微米（斯托克斯数范围为0.0007 - 0.049）的条件下进行了计算。为了计算喉流对气管入口的影响，对气管进行了延伸和修改以模拟喉部，因此入口速度剖面偏向后壁。使用低雷诺数（LRN）κ-ω湍流模型模拟了喉流诱导的湍流。详细研究了颗粒沉积模式、沉积效率和沉积因子。湍流对颗粒沉积有显著影响，并且当前的沉积因子与现有数据比较良好。
