Ma Baoshun, Ruwet Vincent, Corieri Patricia, Theunissen Raf, Riethmuller Michel, Darquenne Chantal
Dept. of Medicine, University of California, San Diego, La Jolla, CA, U.S.A.
J Aerosol Sci. 2009 May;40(5):403-141. doi: 10.1016/j.jaerosci.2009.01.002.
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.
对肺泡气道内气流和气溶胶传输进行精确建模，对于定量预测肺部气溶胶沉积至关重要。然而，此类建模研究的实验验证却很少。本研究的目的是在放大的肺泡气道模型中，通过实验验证计算流体动力学（CFD）对流场和颗粒轨迹的预测。通过粒子图像测速技术（PIV）捕捉硅油的稳定流动（雷诺数Re = 0.13），并通过粒子跟踪测速技术（PTV）获得0.5毫米和1.2毫米球形铁珠（代表体内0.7至14.6微米的气溶胶）的轨迹。在十二个选定的横截面处，CFD获得的速度剖面与PIV获得的速度剖面匹配良好（平均误差在1.7%以内）。CFD预测的轨迹也与PTV实验结果匹配良好。这些结果表明，CFD技术能够以合理的精度模拟人体肺泡气道模型中的气流和气溶胶传输。
