Computational Modeling and Validation of Aerosol Deposition in Ventilation Ducts

被引:8
|
作者
Overholt, Kristopher J. [1 ]
Floyd, Jason E. [2 ]
Ezekoye, Ofodike A. [3 ]
机构
[1] NIST, 100 Bur Dr,Mail Stop 8661, Gaithersburg, MD 20899 USA
[2] Hughes Associates Inc, 3610 Commerce Dr,Suite 817, Baltimore, MD 21227 USA
[3] Univ Texas Austin, Dept Mech Engn, 204 E Dean Keeton St, Austin, TX 78712 USA
关键词
Aerosol deposition; CFD modeling; Gravitational settling; Computational modeling; SOOT; PARTICLES;
D O I
10.1007/s10694-014-0414-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In fire models, the accurate prediction of aerosol and soot concentrations in the gas phase and their deposition thicknesses in the condensed phase is important for a wide range of applications, including human egress calculations, heat transfer in compartment fires, and forensic reconstructions. During a fire, in addition to soot transport by advection and diffusion, a significant amount of soot can be deposited on surfaces due to various mechanisms. As a first approach of quantifying aerosol deposition predictions under non-reacting flow conditions, this study identifies important parameters under various flow conditions and compares predicted aerosol deposition quantities to experimentally measured data. The computational tool used in this study was the computational fluid dynamics code, Fire Dynamics Simulator (FDS). Model predictions are compared to measured deposition velocities for various sizes of monodisperse fluorescent particles and various air velocities at the ceiling, wall, and floor of a ventilation duct.
引用
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页码:149 / 166
页数:18
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