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Title: Empirical model for biodiesel-diesel blending using different processing technologies and feedstock
Authors: M. S. Gad, Ashraf Amin, Ibrahim Mustafa
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2022
Volume: 17
Issue: 6
Language: English
An empirical model for predicting the relationship between the properties of the biodiesel–diesel fuel blends (the density, flash point, cetane number, kinematic viscosity, and calorific value of the biodiesel–diesel fuel blend) and biodiesel fractions is developed. The developed model represents a universal model for predicting the properties of the biodiesel-diesel blend. The results of the experimental correlations data were near the predicted mathematical equation with a confidence level of 95%.The results indicated R2 = 0.95-0.99 in calculating the biodiesel/diesel blends densities as a function of the biodiesel volume proportion. Similarly, the results showed that R2 ranges from 0.97 to 0.99 in predicting flashpoint and kinematic viscosity. To achieve an optimum blend of biodiesel with diesel, several feed stocks/preparation methods can be conducted to achieve the superior blend.
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