Variability of Major Organic Components in Aircraft Fuels

Abstract

This report summarizes qualitative data on the chemical variability of approximately 300 features (chemical components or mixture of components) in neat Air Force distillate fuels, in water equilibrated with the fuels, and in the vapor phase above the fuels, from over 50 fuel sources. These data were obtained to better understand the environmental effects of possible fuel spills and to serve as baseline data which can be used in the development of environmental models for photochemical smog, soot formation from Air Force use of these fuels. Over 50 petroleum-derived JP-4 fuels, one shale-derived JP-4 fuel, and one petroleum-derived JP-5 fuel were analyzed. This report summarizes results for the variability of the major features in water which has been equilibrated with the neat fuels, and in the headspace above the nat fuels. Data base management programs were used to measure feature variability in the data base of over 50 fuels. Feature concentration averages, ranges, standard deviations, and percent relative standard deviations were determined for the 300 features in over 50 fuels, analyzed in duplicate. The variability of data acquisition and data analysis phases of the study was also assessed by calculating the averages, ranges, standard deviations, and percent relative standard deviations for the 300 feature concentrations of one JP-4 fuel which was used as the Reference Fuel and analyzed 18 times for water-soluble features and seven times for vapor phase features.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1985
Accession Number
ADA159057

Entities

People

  • B. Mason
  • K. Wiefling
  • L. Garry Adams

Organizations

  • Monsanto

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Alkanes
  • Command And Control
  • Data Analysis
  • Databases
  • Detection
  • Hydrocarbons
  • Identification
  • Information Science
  • Inorganic Carbon Compounds
  • Operating Systems
  • Pattern Recognition
  • Physical Properties
  • Quality Control
  • Standards
  • Systems Engineering
  • Vapor Phases

Readers

  • Analytical Chemistry
  • Energy Conservation and Renewable Energy Engineering.
  • Regression Analysis.