Exhaust Emission Characteristics and Variability for Maintained General Electric CF6-50 Turbofan Engines.

Abstract

Five General Electric (GE) CF6-50 turbofan engines were tested at the GE overhaul facility in Ontario, California, to quantify and determine the variability of the exhaust emission levels. The effects of heavy maintenance on these emission levels were also studied. Only two of the engines tested actually received major maintenance. Consequently, the data collected is limited in quantity. Conclusions, observations, and recommendations are presented based on this limited data base. No correlation of exhaust emission levels and type of maintenance was possible. The exhaust emission levels of carbon monoxide (CO) and oxides of nitrogen (NOx) have been determined; total hydrocarbon (THC) levels are not quantified. The variability of the CO and NOx species is less than five percent, THC variability is almost 30 percent. The engine emissions did not meet the current or proposed federal standards. Ninety percent of the turbine engine exhaust emissions are produced at the idle power mode. The operational parameters for this important (from the stand-point of emission data collection) mode are vague and should be more defined. The type of fuel used for emission testing has a significant effect on the resultant exhaust emission levels. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA092291

Entities

People

  • Gary Frings

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Flow
  • Air Pollution
  • Carbon Dioxide
  • Carbon Monoxide
  • Data Acquisition
  • Detectors
  • Dielectric Gases
  • Exhaust Gases
  • Gas Turbines
  • Measurement
  • Performance Tests
  • Research Facilities
  • Transportation
  • Turbines
  • Turbofan Engines
  • United States

Fields of Study

  • Environmental science

Readers

  • Internal Combustion Engine (ICE) Technology.
  • Regression Analysis.