Detailed Composition-Based Model for Predicting the Cetane Number of Diesel Fuels
Author:
Affiliation:
1. Compositional Modeling Group, ExxonMobil Process Research Laboratories, Paulsboro Technical Center, Paulsboro, New Jersey 08066
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie0508132
Reference15 articles.
1. Equations for predicting the cetane number of diesel fuels from their physical properties
2. Ingham, M. C.; Bert, J. A.; Painter, L. J. Improved predictive equations for cetane number.SAE Tech. Pap. Ser.1979, No. 790923.
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