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Predictive Equations for Viscosity and Cetane Number of Biodiesel
ISSN: 2363 - 7862
Publisher: author
Predictive Equations for Viscosity and Cetane Number of Biodiesel
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: German Journal Of Renewable And Sustainable Energy Researc..
International Journal Address (IAA):
IAA.ZONE/236336247862
eISSN
:
2363 - 7862
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Abstract
Among the various alternative fuels, vegetable-oil based fuels have been attracting greater attention as a promising alternative to fossil diesel fuel for compression ignition (CI) engines. The objective of the present work is to predict the cetane number of a biodiesel from its fatty acid profile. It was seen that viscosity and cetane number of biodiesel is directly related to the fatty acid composition of the biodiesel. A comparison of the estimated viscosities with the measured values for biodiesel samples shows an agreement within a predicted error of 10% and that of the estimated cetane number shows an agreement within a predicted error of 5%. Keywords: Biodiesel, Cetane number, Viscosity, Fatty acid
