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3024140 
Journal Article 
Evaporation and condensation of multicomponent electronic cigarette droplets and conventional cigarette smoke particles in an idealized G3-G6 triple bifurcating unit 
Feng, Y; Kleinstreuer, C; Rostami, A 
2015 
Yes 
Journal of Aerosol Science
ISSN: 0021-8502
EISSN: 1879-1964 
80 
58-74 
WOS:000349192900005 
The present research study is intended to provide fundamental understanding of the dynamics and transport of aerosols from an e-cigarette in an idealized tubular G3-G6 respiratory tract model. A computational model has been developed that includes the effects of hygroscopic growth as well as evaporation from multicomponent aerosol droplets. The aerosols investigated usually contain carrier solvents such as propylene glycol (PG) and glycerol, along with water, nicotine, and flavors. An experimentally validated computational fluid-particle dynamics (CF-PD) model is presented, which for the first time is capable of simultaneously simulating interactive, multicomponent droplet-vapor dynamics with evaporation and/or condensation. As a first step to accomplish such complex numerical simulations, an idealized G3-G6 triple bifurcating unit (TBU) has been selected. The results are compared with the conventional smoke particles (CSPs) as well as solid particles. Parametric analysis and comparisons of the evaporation/condensation dynamics for EC-droplets vs. cigarette smoke particles were performed, including the effects of different droplet initial diameter, composition, temperature, and ambient relative humidity. The results indicate that EC-droplets, being more hygroscopic than cigarette smoke particles, tend to grow larger in maximum size in a typically highly humid environment. Additionally, a correlation for the growth ratio of EC-droplets in TBUs is proposed. (C) 2014 Elsevier Ltd. All rights reserved. 
Electronic cigarette (EC); Conventional cigarette smoke particles (CSPs); Multicomponent droplets; Deposition; Droplet-vapor interaction modeling; Multicomponent Mixture plus Discrete; Droplet (MM-DD) model