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Numerical predictions of submicrometer aerosol deposition in the nasal cavity using a novel drift flux approach

机译:新型漂移通量方法在鼻腔内亚微米气溶胶沉积的数值预测

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Evaluating the health effects of inhaled submicrometer aerosols, such as combustion particulate matter and bioaerosols, requires a thorough understanding of transport and deposition in the nasal airway. However, numerical simulations of fine respiratory aerosols (100-1000 nm) remain challenging due to low deposition fractions and the action of concurrent inertial and diffusive deposition mechanisms. The objective of this study was to evaluate the transport and deposition of submicrometer aerosols in the nasal cavity based on a novel drift flux model with a near-wall velocity correction (DF-VC), which accounts for the effects of particle inertia and diffusion. Deposition results were also obtained for a commonly implemented chemical species (CS) model that only accounts for particle diffusion. The nasal cavity geometry was developed based on available MRI data, which has also been used in the previous experimental studies. Particle sizes ranging from 1 nm through 1000 nm and inhalations flow rates covering 4-30 L/min were considered. Under these conditions, turbulence only appeared significant in the nasal vestibule-valve region and the dorsal portion of the nasopharynx. In contrast, most of the main nasal passage appeared to have primarily laminar flow. Simulation results of the novel DF-VC model were shown to provide a good match to experimental deposition values from various nasal replica casts, and corroborated an existing empirical correlation for in vivo nasal deposition of submicrometer aerosols. Comparisons of the DF-VC and CS models indicated that inertial effects began to significantly influence total deposition in the nasal cavity at particle Stokes numbers greater than a critical value of St_k = 1.0 × 10~(-5), which is equivalent to a 90 nm particle under resting conditions and a 50 nm aerosol during moderate activity. A new correlation for mass transfer and deposition in the nasal airways was proposed that accounts for both inertial and diffusional deposition mechanisms and can be applied for all submicrometer aerosols. Results of this study indicate that a drift flux particle transport model with near-wall velocity corrections can provide an effective approach in simulating the transport and deposition of submicrometer respiratory aerosols in human nasal airways.
机译:评估吸入的亚微米气溶胶(例如燃烧颗粒物和生物气溶胶)的健康影响,需要透彻了解鼻气道中的运输和沉积。然而,由于低的沉积分数以及同时发生的惯性和扩散沉积机制的作用,精细呼吸气溶胶(100-1000 nm)的数值模拟仍然具有挑战性。这项研究的目的是基于具有近壁速度校正(DF-VC)的新型漂移通量模型来评估亚微米气溶胶在鼻腔中的运输和沉积,该模型考虑了粒子惯性和扩散的影响。还获得了仅考虑颗粒扩散的常用化学物种(CS)模型的沉积结果。鼻腔的几何形状是根据可用的MRI数据开发的,该数据也已用于先前的实验研究中。粒径范围从1 nm到1000 nm,吸入流速覆盖4-30 L / min。在这种情况下,湍流仅在鼻前庭瓣膜区域和鼻咽后部出现。相反,大多数主要的鼻道似乎主要具有层流。新型DF-VC模型的仿真结果显示,与各种鼻腔复制品的实验沉积值具有良好的匹配性,并证实了亚微米气溶胶在体内鼻腔沉积的现有经验相关性。 DF-VC和CS模型的比较表明,惯性效应开始显着影响粒子Stokes数大于St_k = 1.0×10〜(-5)的临界值(等于90的临界值)时鼻腔中的总沉积。静息条件下的50 nm颗粒和中等活动时的50 nm气溶胶。提出了一种在鼻气道中进行质量转移和沉积的新关联,该关联考虑了惯性和扩散沉积机制,并且可以应用于所有亚微米气溶胶。这项研究的结果表明,具有近壁速度校正的漂移通量粒子传输模型可以提供一种有效的方法来模拟亚微米呼吸气溶胶在人鼻气道中的传输和沉积。

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