Numeric Investigation of Non-Stationary Dust-Containing Airflow and Deposition of Dust Particles in the Lower Airways

P.V. Trusov, N.V. Zaitseva, M.Yu. Tsinker, A.I. Kuchukov
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Abstract

Within creation of the mathematical model to describe the human respiratory system, we accomplished numeric investigation of non-stationary dust-containing airflow as well as dust particle deposition in the lower airways with the real anatomic geometry based on CT scans. Inhaled air is considered a multi-phase mixture of a homogenous gas and solid dust particles. Motion of a basic carrier gas phase is described using the Euler approach. Solid dust particles are a dispersed carried phase, which is described with the Lagrange approach. The k-ω model is used to describe turbulence. We consider non-stationary airflow during calm inhalation. The article presents calculated flow streamlines for the velocity of particles in inhaled air in the lower airways at different moments. We quantified a share of deposited particles (SDP) with various dispersed structure (between 10 nm and 100 µm) and density (1000 kg/m3, 2000 kg/m3, 2700 kg/m3) in the lower airways; the article provides computed motion paths of particulate matter. Solid particle deposition in the airways has different efficiency depending on particle sizes and density. SDP goes down as their sizes and masses decrease. Particle density mostly influences differences in deposition of micro-sized particles (2.5–20 µm): as particle mass and density grow, SDP in the airways also increases. SDP with their diameter being less than 1 µm amounts to approximately 20 % of all the particles that reach the inlet to the trachea. According to the results obtained by numeric modeling, the greatest share of dust particles penetrates the right main bronchus, predominantly the right middle and inferior lobar bronchi. Dust particles are able to induce diseases of the lungs, pneumoconiosis included.
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下气道非静止含尘气流及尘粒沉积的数值研究
在建立描述人体呼吸系统的数学模型的过程中,我们完成了非静止含尘气流的数值研究以及基于CT扫描的真实解剖几何结构下气道中的粉尘颗粒沉积。吸入的空气被认为是均质气体和固体粉尘颗粒的多相混合物。用欧拉方法描述了基本载气相的运动。固体粉尘颗粒是分散的携带相,用拉格朗日方法描述。k-ω模型用于描述湍流。我们考虑平静吸入时的非静止气流。本文给出了不同时刻下气道吸入空气中颗粒速度的计算流线。我们量化了下气道中具有不同分散结构(10 nm至100 μ m)和密度(1000 kg/m3, 2000 kg/m3, 2700 kg/m3)的沉积颗粒(SDP)的份额;本文给出了粒子运动路径的计算方法。固体颗粒在气道中的沉积效率取决于颗粒的大小和密度。SDP随体积和质量的减小而减小。颗粒密度主要影响微颗粒(2.5 ~ 20µm)沉积差异,随着颗粒质量和密度的增加,气道内SDP也随之增加。直径小于1µm的SDP约占到达气管入口的所有颗粒的20%。数值模拟结果表明,进入右主支气管的粉尘颗粒最多,以右中、下叶支气管居多。灰尘颗粒能够引起肺部疾病,包括尘肺病。
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
自引率
0.00%
发文量
13
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