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Title: Improved predictive equations for cetane number

Conference ·
OSTI ID:5476133

Three new predictive equations for cetane number have been developed. Each of these equations is shown to be superior to the current cetane index equation (ASTM D976-80) for a large fuel data base. One of the equations has the further advantage of requiring only one property measurement (aniline point). The equations were developed from a detailed analysis of functional relationships between measured cetane number (ASTM D613-84) and commonly measured physical properties of diesel fuels; aniline point, density, and distillation temperatures. The data base for this study totaled 1229 fuels, including commercial fuels from the U.S. Canada, Europe, and Japan; synthetic fuels derived from tar sands, shale, and coal; and a diversity of research fuels blended from straight-run and cracked stocks. The equations were optimized using data-fitting techniques which account for bias amongst the various data sources and for measurement errors in both the dependent and independent variables.

OSTI ID:
5476133
Report Number(s):
CONF-860263-
Resource Relation:
Conference: Society of Automotive Engineers international congress and exposition, Detroit, MI, USA, 24 Feb 1986
Country of Publication:
United States
Language:
English