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- W2762632008 abstract "This chapter deals with the derivation of one-dimensional models to estimate some important fuel features of different biodiesel–diesel fuel (DF) blends. For the derivation of the models, biodiesels were synthesized through a transesterification reaction using hazelnut and corn oils, and the produced biodiesels were mixed with DF at 5%, 10%, 15%, 20%, 50%, and 75% on a volume basis. The kinematic viscosity, higher heating value, and flash point of the prepared Corn oil biodiesel–DF and Hazelnut oil biodiesel–DF blends were determined according to the related international standards. One-dimensional models were derived through the least squares regression method to estimate these fuel features. For all models that were tried, calculated regression constants and correlation coefficients are given as tables." @default.
- W2762632008 created "2017-10-20" @default.
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- W2762632008 date "2018-01-01" @default.
- W2762632008 modified "2023-09-25" @default.
- W2762632008 title "Regression Models for Predicting Some Important Fuel Properties of Corn and Hazelnut Oil Biodiesel–Diesel Fuel Blends" @default.
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- W2762632008 doi "https://doi.org/10.1016/b978-0-12-813734-5.00047-0" @default.
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