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Numerical Investigation of Diesel Exhaust Particle Transport and Deposition in up to 17 Generations of the Lung Airway

机译:多达17代肺气道中柴油机废气颗粒传输和沉积的数值研究

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Diesel exhaust particulates matter (DEPM) is a compound mixture of gases and fine particles that contains more than 40 toxic air pollutants including benzene, formaldehyde, and nitrogen oxides. Exposure of DEPM to human lung airway during respiratory inhalation causes severe health hazards like diverse pulmonary diseases. This paper studies the DEPM transport and deposition in upper 17-generation of digital lung airways. The Euler-Lagrange approach is used to solve the continuum and disperse phases of the calculation. Lagrangian based Discrete Phase Model (DPM) is used to investigate the DEPM nanoparticle dispersion and deposition in the current anatomical model. The effects of size specific monodispersed particles on deposition are extensively investigated during resting condition. The numerical results illustrate that Brownian diffusion is the dominant mechanism for smaller diameter particles. The present 17-generation bifurcation model also depicts different deposition hot spot for various diameter particles which could advance the understanding of the therapeutic drug delivery system to the specific position of the respiratory airways.
机译:柴油机废气颗粒物(DEPM)是气体和细颗粒的复合混合物,其中包含40多种有毒的空气污染物,包括苯,甲醛和氮氧化物。呼吸吸入期间DEPM暴露于人肺气道会导致严重的健康危害,例如各种肺部疾病。本文研究了DEPM在上17代数字肺气道中的运输和沉积。欧拉-拉格朗日方法用于求解计算的连续相和分散相。基于拉格朗日的离散相模型(DPM)用于研究DEPM纳米颗粒在当前解剖模型中的分散和沉积。在静置条件下,对尺寸特定的单分散颗粒对沉积的影响进行了广泛研究。数值结果表明,布朗扩散是较小直径颗粒的主要机理。当前的17代分叉模型还描绘了各种直径颗粒的不同沉积热点,这可以使对治疗药物输送系统的了解更深入呼吸道的特定位置。

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