Correlation of Laboratory-Scale Fire Test Methods for Seat Blocking Layer Materials with Large-Scale Test Results.

Abstract

An interlaboratory study was conducted to determine the adaptability of various laboratory fire test devices to measure aircraft seat cushion blocking layer effectiveness. Full-scale tests conducted by the FAA have shown blocking layers to be an effective means of delaying aircraft seat cushion fire involvement when exposed to a large external fuel fire. Large-scale tests conducted in the Douglas Aircraft Company Cabin Fire Simulator (CFS) have also shown similar findings. Such findings are fostering development of new candidate materials. However, it is more practical to evaluate these materials in a suitable laboratory test device rather than continuously performing expensive full- or large-scale tests. Several such devices were determined to be satisfactory when operated under specific conditions and when certain parameters are measured. The satisfactory devices are the Ohio State University (OSU) Rate of Heat Release Apparatus operated at 5.0 Watts/centimeter squared, the FAA Standard Two Gallon/Hour Burner operated for a two minute exposure, and the Lockheed Aircraft Company Meeker Burner. For a series of blocking layer material candidates, test measurements obtained with the above devices exhibit comparable rankings with weight loss or percent weight loss from larger scale CFS tests. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA131666

Entities

People

  • Louis J. Brown Jr.
  • Richard M. Johnson

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Aircraft Seats
  • Aircrafts
  • Airframes
  • Body Weight
  • Coefficients
  • Corporations
  • Dead Reckoning
  • Heat Flux
  • Ignition
  • Laboratory Tests
  • Materials
  • Measurement
  • New Jersey
  • Plastic Explosives
  • Test Methods
  • United States

Readers

  • Aviation Science / Aeronautics.
  • Regression Analysis.