Prediction of Selected Jet Fuel Test Results Using ASTM Test Method D2887 Data with Multiple Linear Regression Analysis.

Abstract

At the present time, to analyze a five gallon sample of JP-4 requires approximately 24 hours, with over thirty separate tests to determine overall sample acceptability. The time required to ship the sample from bases and distribution points to central laboratory facilities and to disseminate the results is considerable. This research attempted to identify those boiling points from the simulated distillation curve which could be used to predict other JP-4 test results such as API Gravity, Aniline Gravity Product, RVP, Water Separometer Index, Modified, without the requirement to perform these tests. The research used multiple linear regression techniques to obtain the algorithms for the above JP-4 tests. Models developed by these techniques did not attain the level of accuracy needed to delete the requirement for physically completing the above tests. However, several ideas are presented for use by future teams performing research in predicting fuel properties from simulated distillation data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1978
Accession Number
ADA059185

Entities

People

  • Harvey Yates
  • Ronald W. Roof

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Acceptability
  • Accuracy
  • Algorithms
  • Boiling
  • Boiling Point
  • Buildings And Structures
  • Data Science
  • Distillation
  • Fuels
  • Information Science
  • Jet Engine Fuels
  • Linear Regression Analysis
  • Mathematics
  • Regression Analysis
  • Research Facilities
  • Test Methods

Readers

  • Approximation Theory.
  • Petroleum Engineering
  • Psychometric Testing or Psychological Assessment.