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Article . 2017 . Peer-reviewed
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Kinematic viscosity of soybean biodiesel and diesel fossil fuel blends: Estimation from permittivity and temperature

Authors: Corach, Julián; Colman, M.; Sorichetti, Patricio Aníbal; Romano, Silvia Daniela;

Kinematic viscosity of soybean biodiesel and diesel fossil fuel blends: Estimation from permittivity and temperature

Abstract

Abstract Kinematic viscosity and relative permittivity were determined in blends of soybean biodiesel with diesel fossil fuel in the full range of composition at temperatures between 298 K and 318 K (±0.1 K). The kinematic viscosity as a function of temperature fits very satisfactorily to an Arrhenius dependence at all the compositions. The activation energy of this process depends linearly on blend composition. Also, at constant temperature, the kinematic viscosity increases exponentially with biodiesel content. From the analysis of the experimental data, a model is proposed to estimate the kinematic viscosity of blends of unknown composition as a function of permittivity and temperature. Interestingly, the model parameters depend only on the properties of the pure fuels. The fitting to experimental data is very satisfactory; the RMS uncertainty is lower than 0.02 mm 2 s −1 .

Country
Argentina
Keywords

Kinematic Viscosity, Blends, https://purl.org/becyt/ford/2.4, Dielectric Spectroscopy, Permittivity, Biodiesel, Diesel, https://purl.org/becyt/ford/2

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    citations
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    28
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    Top 10%
    influence
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    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
Green