Accurate modeling of air flow and aerosol transport in the alveolated airways is essential for quantitative predictions of pulmonary aerosol deposition. However, experimental validation of such modeling studies has been scarce. The objective of this study is to validate CFD predictions of flow field and particle trajectory with experiments within a scaled-up model of alveolated airways. Steady flow (Re = 0.13) of silicone oil was captured by particle image velocimetry (PIV), and the trajectories of 0.5 mm and 1.2 mm spherical iron beads (representing 0.7 to 14.6 mum aerosol in vivo) were obtained by particle tracking velocimetry (PTV). At twelve selected cross sections, the velocity profiles obtained by CFD matched well with those by PIV (within 1.7% on average). The CFD predicted trajectories also matched well with PTV experiments. These results showed that air flow and aerosol transport in models of human alveolated airways can be simulated by CFD techniques with reasonable accuracy.

中文翻译：

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肺泡气道模型中流体流动和颗粒传输的 CFD 模拟和实验验证

肺泡气道中气流和气溶胶传输的准确建模对于肺气溶胶沉积的定量预测至关重要。然而，这种建模研究的实验验证很少。本研究的目的是在肺泡气道的放大模型中通过实验验证流场和粒子轨迹的 CFD 预测。通过粒子图像测速（PIV）捕获硅油的稳定流动（Re = 0.13），通过粒子跟踪测速（PTV）获得0.5 mm和1.2 mm球形铁珠（代表体内0.7至14.6 mm气溶胶）的轨迹）。在十二个选定的横截面，CFD 获得的速度剖面与 PIV 获得的速度剖面匹配良好（平均在 1.7% 以内）。CFD 预测的轨迹也与 PTV 实验很好地匹配。