Paper Title:
Mathematical Modeling for the Prediction of Fuel Properties of Biodiesel from their FAME Composition
  Abstract

The mono-alkyl esters of vegetable oils or animal fats, known as biodiesel have received significant attention as an alternative diesel fuel. In the present study fuel properties like viscosity, density and High Heat Value (HHV) of ten biodiesels namely Corn, Cottonseed, Linseed, Rapeseed, Safflower, Soybean, Sunflower, Mahua, Jatropha and Palm are predicted using their FAME ( Fatty Acid Methyl Ester) composition by regression analysis and the results obtained are compared and found to be in good agreement with reported literature values.

  Info
Periodical
Edited by
Daizhong Su, Qingbin Zhang and Shifan Zhu
Pages
157-160
DOI
10.4028/www.scientific.net/KEM.450.157
Citation
S. Mitra, P.K. Bose, S. Choudhury, "Mathematical Modeling for the Prediction of Fuel Properties of Biodiesel from their FAME Composition ", Key Engineering Materials, Vol. 450, pp. 157-160, 2011
Online since
November 2010
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$32.00
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