Transient Application, Recirculating Pool Fire, Agent Effectiveness Screen: Final Report, NGP Project 3A/890

Abstract

In this study, a laboratory-scale facility has been developed to screen the suppression effectiveness of agents that are delivered in a transient fashion such as solid propellant gas generators. The transient application, recirculating pool fire (TARPF) agent effectiveness screen features a propane fire stabilized behind an obstruction, which is known to be a highly challenging suppression configuration. The character of the flame and the impact of the air flow, fuel flow, obstruction geometry, and rate of agent addition on the amount of material needed for importance of the injection process on the flow field and the transport of the agent downstream is examined, and a simple mixing model is used to explain the observed trend of decreasing suppressant mole fraction with increasing injection duration, even for agents as different as CF3Br and N2. Direct numerical simulation of the suppression event is shown to successfully predict the quantity and rate of N2 required to extinguish the flame based upon a published global reaction fate for premixed propane/air flame propagation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2001
Accession Number
ADA405692

Entities

People

  • Anthony Hamins
  • Cary Presser
  • Kevin Mcgrattan
  • William Grosshandler

Organizations

  • National Institute of Standards and Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Air Flow
  • Boundary Layer
  • Buoyancy
  • Burning Rate
  • Combustion
  • Computational Fluid Dynamics
  • Flow Fields
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Heat Transfer
  • Large Eddy Simulation
  • Measurement
  • Physics Laboratories
  • Three Dimensional
  • Two Dimensional

Readers

  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation
  • Molecular Genetics