Koullapis P G, Kassinos S C, Bivolarova M P, Melikov A K
Computational Sciences Laboratory (UCY-CompSci), Department of Mechanical and Manufacturing Engineering, University of Cyprus, Kallipoleos Avenue 75, Nicosia 1678, Cyprus.
Computational Sciences Laboratory (UCY-CompSci), Department of Mechanical and Manufacturing Engineering, University of Cyprus, Kallipoleos Avenue 75, Nicosia 1678, Cyprus.
J Biomech. 2016 Jul 26;49(11):2201-2212. doi: 10.1016/j.jbiomech.2015.11.029. Epub 2015 Nov 27.
Understanding the multitude of factors that control pulmonary deposition is important in assessing the therapeutic or toxic effects of inhaled particles. The use of increasingly sophisticated in silico models has improved our overall understanding, but model realism remains elusive. In this work, we use Large Eddy Simulations (LES) to investigate the deposition of inhaled aerosol particles with diameters of dp=0.1,0.5,1,2.5,5 and 10μm (particle density of 1200kg/m(3)). We use a reconstructed geometry of the human airways obtained via computed tomography and assess the effects of inlet flow conditions, particle size, electrostatic charge, and flowrate. While most computer simulations assume a uniform velocity at the mouth inlet, we found that using a more realistic inlet profile based on Laser Doppler Anemometry measurements resulted in enhanced deposition, mostly on the tongue. Nevertheless, flow field differences due to the inlet conditions are largely smoothed out just a short distance downstream of the mouth inlet as a result of the complex geometry. Increasing the inhalation flowrate from sedentary to activity conditions left the mean flowfield structures largely unaffected. Nevertheless, at the higher flowrates turbulent intensities persisted further downstream in the main bronchi. For dp>2.5μm, the overall Deposition Fractions (DF) increased with flowrate due to greater inertial impaction in the oropharynx. Below dp=1.0μm, the DF was largely independent of particle size; it also increased with flowrate, but remained significantly lower. Electrostatic charge increased the overall DF of smaller particles by as much as sevenfold, with most of the increase located in the mouth-throat. Moreover, significant enhancement in deposition was found in the left and right lung sub-regions of our reconstructed geometry. Although there was a relatively small impact of inhalation flowrate on the deposition of charged particles for sizes dp<2.5μm, impaction prevailed over electrostatic deposition for larger particles as the flowrate was increased. Overall, we report a significant interplay between particle size, electrostatic charge, and flowrate. Our results suggest that in silico models should be customized for specific applications, ensuring all relevant physical effects are accounted for in a self-consistent fashion.
了解控制肺部沉积的众多因素对于评估吸入颗粒的治疗或毒性作用至关重要。使用日益复杂的计算机模拟模型增进了我们的整体理解,但模型的真实性仍然难以捉摸。在这项工作中,我们使用大涡模拟(LES)来研究直径为dp = 0.1、0.5、1、2.5、5和10μm(颗粒密度为1200kg/m³)的吸入气溶胶颗粒的沉积情况。我们使用通过计算机断层扫描获得的人体气道重建几何模型,并评估入口流动条件、颗粒大小、静电荷和流速的影响。虽然大多数计算机模拟假设口腔入口处速度均匀,但我们发现基于激光多普勒测速测量使用更逼真的入口剖面会导致沉积增加,主要集中在舌部。然而,由于复杂的几何形状,入口条件导致的流场差异在口腔入口下游很短的距离内就基本被抹平了。将吸入流速从静息状态增加到活动状态,平均流场结构基本不受影响。然而,在较高流速下,湍流强度在主支气管中持续到更远的下游。对于dp>2.5μm的颗粒,由于口咽部更大的惯性碰撞,总体沉积分数(DF)随流速增加。在dp = 1.0μm以下,DF在很大程度上与颗粒大小无关;它也随流速增加,但仍然显著较低。静电荷使较小颗粒的总体DF增加了多达七倍,大部分增加位于口咽部。此外,在我们重建几何模型的左右肺子区域发现沉积有显著增强。虽然对于dp<2.5μm的颗粒,吸入流速对带电颗粒沉积的影响相对较小,但随着流速增加,对于较大颗粒,碰撞作用超过了静电沉积作用。总体而言,我们报告了颗粒大小、静电荷和流速之间存在显著的相互作用。我们的结果表明,计算机模拟模型应针对特定应用进行定制,确保以自洽的方式考虑所有相关的物理效应。