基于CT图像的人体上呼吸道两相流中微颗粒运移和沉积的数值模拟

T. B. Gorji, N. Fatouraee, A. Mozaffari
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引用次数: 1

摘要

在本文中,使用经过验证的有限体积代码和用户增强程序,分析了典型吸入率下的空气流动以及真实人体上呼吸道模型中颗粒的运输和沉积。影响颗粒沉积的最重要参数是入口流速、气道几何形状和颗粒的几何物理特性。本研究中的管状气道模型由从气管(G0)开始到第二代分叉(G2)的上气管-支气管组成,由健康人的计算机断层扫描(CT)数据重建。采用低雷诺数(LRN) k-ω湍流模型模拟层流到湍流发生气流。结果表明:高水平呼吸(秦= 60 l/min)时沉积效率(DE)明显大于低水平呼吸(秦= 15 l/min)时,右支气管气道沉积效率(DE)明显大于左支气管,这主要是由于右支气管的尺寸略大。
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Numerical simulation of transport and deposition of micro-particles in two-phase flow in a human upper airway model from CT images
In this paper the air flow for typical inhalation rates as well as transport and deposition of particles in a realistic human upper airway model were analysed using a validated finite-volume code with user-enhanced programmes. Most important parameters affecting deposition of particles are inlet flow rate, airway geometry and geometric and physical characteristics of particles. The tubular airway model in this study consists of upper trachea-bronchial airways starting from trachea (G0) to second generation of bifurcations (G2) reconstructed from computerised tomography (CT) data of a healthy human. The low Reynolds number (LRN) k-ω turbulence model was used to simulate the laminar to turbulent occurred airflow. The results show that deposition efficiencies (DE) are typically larger during high level breathing (Qin = 60 l/min) than low-level breathing (Qin = 15 l/min) and DE is significantly larger in the right bronchial airway to the left, mainly because of the slightly greater dimensions of the right bron...
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