Thermodynamics Research Center / ThermoML | Journal of Chemical and Engineering Data

ABSTRACT

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 gathered from the literature, the present work reports viscosity data of fatty mixtures found in the oil and fat industry, such as mixtures of fatty acids, methyl esters, and triacylglycerols, over a large range of temperatures. Viscosities of these fatty mixtures as well as viscosity data taken from the literature were predicted by known methods, such as the modified Kay s rule, the Kendall and Moore model, and GC-UNIMOD. In general, the three models presented a good representation of the kinematic viscosity of fatty mixtures. For the majority of cases (or 77.1 %), the average relative deviations (ARD) obtained were not higher than 10 %.