Viscosities of Fatty Mixtures: Experimental Data and Prediction

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• 作者：Cintia B. Gon&ccedil ; alves ; Roberta Ceriani ; Juliana Rabelo ; Maria Cristina Maffia ; Antonio J. A. Meirelles
• 刊名：Journal of Chemical & Engineering Data
• 出版年：2007
• 出版时间：September 2007
• 年：2007
• 卷：52
• 期：5
• 页码：2000 - 2006
• 全文大小：79K
• 年卷期：v.52,no.5(September 2007)
• ISSN：1520-5134

文摘

Viscosity data of fatty compounds and their mixtures are important for designing equipment for the oil industry,including edible, as some vegetable oils, and nonedible purposes, as biodiesel. To expand the data bank gatheredfrom the literature, the present work reports viscosity data of fatty mixtures found in the oil and fat industry, suchas mixtures of fatty acids, methyl esters, and triacylglycerols, over a large range of temperatures. Viscosities ofthese fatty mixtures as well as viscosity data taken from the literature were predicted by known methods, such asthe modified Kay's rule, the Kendall and Moore model, and GC-UNIMOD. In general, the three models presenteda good representation of the kinematic viscosity of fatty mixtures. For the majority of cases (or 77.1 %), theaverage relative deviations (ARD) obtained were not higher than 10 %.