Fire suppression using water mists - a numerical model

The modeling of fire suppression using fine watersprays is described within the context of an engineering computer model. A Lagrangian formulation was selected for the liquid droplet phase, while the gas phase uses an Eulerian formulation based on the RANS equations with a two-equation turbulence mo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Strojniski Vestnik 2001-01, Vol.47 (8), p.424-434
Hauptverfasser: Hadjisophocleous, G V, An, M., Costa, V A F, Sousa, A C M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The modeling of fire suppression using fine watersprays is described within the context of an engineering computer model. A Lagrangian formulation was selected for the liquid droplet phase, while the gas phase uses an Eulerian formulation based on the RANS equations with a two-equation turbulence model. The fire is assumed to be a turbulent diffusion flame with its behavior dependent upon the supply of hydrocarbon fuel and the air accessing the fire. A feedback mechanism is also implemented, which dictates the rate of fuel evaporation. The flammability limits of the fuel vapor are taken into account, and the concentrations of fuel vapor, air, combustion products and steam evaporated from the droplets in the gas mixture are calculated by solving the equations for the mixture mass fractions. The droplets/gas phase interaction is described through source terms in the gas-phase equations. The time-dependent equations governing the gas phase are solved in primitive variable form by using a segregated technique. The ordinary differential equations for droplet motion, heating and evaporation are solved by an explicit forward time integration, which starts at the injection point. The droplet time step is determined by considering the turbulence dispersion of the droplets. The predictions produced by the model for the three different cases examined are physically realistic, notwithstanding the uncertainties associated with the experimental data and the input parameters.
ISSN:0039-2480