Image from Google Jackets

Computational Modeling and Validation of Aerosol Deposition in Ventilation Ducts

By: Language: Inglés Publication details: ene. 2016Description: 17 p. ; 149-166 In: Fire Technology 52Summary: Transcripción del resúmen realizada por el autor: 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.
Item type: Artículo de Revista
Holdings
Current library Status Barcode
Biblioteca Alejandro Angel Bulgheroni Not for loan 200061892

Transcripción del resúmen realizada por el autor: 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.

1



Instituto Argentino del Petróleo y del Gas
Maipú 639 (C1006ACG) – Buenos Aires – Argentina
Tel: (54 11) 5277 IAPG (4274)
Lu - Vie 11 a 17 hs
Mail: biblio@iapg.org.ar


Copyright © 2026, Instituto Argentino del Petróleo y del Gas, todos los derechos reservados.

Protección de datos personales