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- W2983449886 abstract "The present paper reports a viscosity and density unpublished database of systems formed for fatty acid methyl esters (FAMEs), leading to 426 experimental data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict density and viscosity, respectively. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. Density estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, respectively. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation." @default.
- W2983449886 created "2019-11-22" @default.
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- W2983449886 date "2020-05-01" @default.
- W2983449886 modified "2023-10-15" @default.
- W2983449886 title "Study of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties" @default.
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- W2983449886 doi "https://doi.org/10.1016/j.renene.2019.11.083" @default.
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