2013
DOI: 10.4028/www.scientific.net/amm.291-294.328
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Prediction of the Cold Flow Properties in Biodiesel Blends

Abstract: The chemical compositions of biodiesel are analyzed by GC-MS, and their molecular structures are investigated on the basis of the hybrid orbital theory. The CFPP of biodiesel is studied by CFPP tester, the solution crystallization theory and the similarity-intermiscibility principle. Good correlation models are proposed for predict CFPP of biodiesel by chemical compositions and the CFPP of biodiesel-petrodiesel blends by biodiesel ratio. The study shows that biodiesel is mainly composed of SFAME (C14:0~C24:0) … Show more

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Cited by 1 publication
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“…A particularly important element of this assessment is the composition of the hydrocarbon chain; namely, the relationship between fatty acid (FA) content [13][14][15][16][17] and unsaturated FA content [18]. Advanced methods can also be used for CFPP prediction [5,7,19]. GC-MS was employed to predict the CFPP by chemical composition based on the hybrid orbital theory [19].…”
Section: Introductionmentioning
confidence: 99%
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“…A particularly important element of this assessment is the composition of the hydrocarbon chain; namely, the relationship between fatty acid (FA) content [13][14][15][16][17] and unsaturated FA content [18]. Advanced methods can also be used for CFPP prediction [5,7,19]. GC-MS was employed to predict the CFPP by chemical composition based on the hybrid orbital theory [19].…”
Section: Introductionmentioning
confidence: 99%
“…Advanced methods can also be used for CFPP prediction [5,7,19]. GC-MS was employed to predict the CFPP by chemical composition based on the hybrid orbital theory [19]. Near- [5] or mid-infrared [7] spectra were also applied to predict the CFPP values of biodiesel and its blends with a high degree of repeatability.…”
Section: Introductionmentioning
confidence: 99%
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