Modeling of the transport, hygroscopic growth, and deposition of multi-component droplets in a simplified airway with realistic thermal boundary conditions

被引:26
作者
Chen, Xiaole [1 ]
Zhou, Xianguang [2 ]
Xia, Xueying [1 ]
Xie, Xiaojian [1 ]
Lu, Ping [1 ]
Feng, Yu [3 ]
机构
[1] Nanjing Normal Univ, Sch Energy & Mech Engn, Nanjing 210046, Jiangsu, Peoples R China
[2] Southeast Univ, Zhongda Hosp, Nanjing 210096, Jiangsu, Peoples R China
[3] Oklahoma State Univ, Sch Chem Engn, Stillwater, OK 74078 USA
基金
中国国家自然科学基金;
关键词
Droplet; Multi-component; Hygroscopicity; Deposition; Airway; CIGARETTE-SMOKE PARTICLES; CONDENSATIONAL GROWTH; NUMERICAL-SIMULATION; PHASE-CHANGE; FLOW; EVAPORATION; HUMIDITY; AEROSOLS; WATER; HEAT;
D O I
10.1016/j.jaerosci.2020.105626
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Accurate predictions of the droplet transport, evolution, and deposition in human airways are critical for the quantitative analysis of the health risks due to the exposure to the airborne pollutant or virus transmission. The droplet/particle-vapor interaction, i.e., the evaporation or condensation of the multi-component droplet/particle, is one of the key mechanisms that need to be precisely modeled. Using a validated computational model, the transport, evaporation, hygroscopic growth, and deposition of multi-component droplets were simulated in a simplified airway geometry. A mucus-tissue layer is explicitly modeled in the airway geometry to describe mucus evaporation and heat transfer. Pulmonary flow and aerosol dynamics patterns associated with different inhalation flow rates are visualized and compared. Investigated variables include temperature distributions, relative humidity (RH) distributions, deposition efficiencies, droplet/particle distributions, and droplet growth ratio distributions. Numerical results indicate that the droplet/particle-vapor interaction and the heat and mass transfer of the mucus-tissue layer must be considered in the computational lung aerosol dynamics study, since they can significantly influence the precise predictions of the aerosol transport and deposition. Furthermore, the modeling framework in this study is ready to be expanded to predict transport dynamics of cough/sneeze droplets starting from their generation and transmission in the indoor environment to the deposition in the human respiratory system.
引用
收藏
页数:14
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