Development of a Mathematical Model for the Thermal Decomposition of Aviation Fuels

Abstract

This report describes the development of a mathematical model for predicting the rate of thermal decomposition of aviation fuels. The model provides a global description of the chemical and physical processes of fuel autoxidation, precursor formation, and deposition at a solid surface. The model contains several unknown parameters that must be determined for a particular fuel. Calibration of the model involves the determination of these parameters from experimental data. This report describes the calibration procedure and presents sample calculations from the calibrated model for both laminar and turbulent flows. Prior to development of the model, the existing literature was surveyed to assess available information on those physical and chemical processes relevant to the thermal decomposition problem. The report describes the results of a brief literature review covering the areas of fuel chemistry, transport processes, surface adhesion phenomena, and deposit-removal mechanisms. The report also discusses the existing data base for the thermal decomposition of aviation fuels. The data base consists primarily of results from heated-tube experiments, in which the rate of deposit formation is measured along the length of the tube. The deposition rates are typically correlated with the initial tube wall temperatures. (JG)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA221673

Entities

People

  • John L. Krazinski
  • S. P. Vanka

Organizations

  • Argonne National Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Alkanes
  • Boundary Layer
  • Chemical Kinetics
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Computational Fluid Dynamics
  • Fluid Dynamics
  • Fluid Flow
  • Heat Transfer
  • Jet Engine Fuels
  • Literature Surveys
  • Material Degradation Processes
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Materials Testing

Readers

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