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    Surface tensions of biodiesel blends with pentanol and octanol isomers at different conditions: measurement and new correlation

    Year: 2021

    Journal: Fluid Phase Equilib., Volume 540, JUL 15

    Authors: Vargas-Ibanez, Leidy T.; Cano-Gomez, Jose J.; Santos-Lopez, Ivan A.; Iglesias-Silva, Gustavo A.; Lopez-Lazaro, Jose de los S.; Alcala-Rodriguez, Monica M.; Villarreal-Mendoza, Carolina; Armendariz-Ovalle, Carolina

    Organizations: Consejo Nacional de Ciencia and Tecnologia (CONACyT) [CB-2016-285320]

    Keywords: Surface tension; correlation; biodiesel; alcohols; mixtures

    Surface tension is an important biodiesel property, its calculation and prediction are fundamental because high values of surface tension significantly difficult proper atomization, and it can cause a poor engine performance. Surface tensions have been measured for binary liquid blends of pentan-1-ol, pentan-2-ol, 2-methylbutan-1-ol, octan-1-ol, octan-2-ol and 2-ethylhexan-1-ol with biodiesel using a Du Nouy ring tensiometer from (288.15 to 338.15) K at 0.1 MPa over the whole composition range. The measured surface tension data for the pure components shows a good agreement for the six alcohols when it is compared with reported values in the literature, showing an average absolute percentage deviation of 0.93%. Surface tension deviations show positive deviations from the average mole fraction of the pure components and they are correlated using the Redlich-Kister equation over the whole concentration range. Surface entropy and surface enthalpy have been estimated from experimental surface tension values of biodiesel mixtures. A new equation has been developed to correlate the surface tension of biodiesel + alcohols mixtures considering the effects of both temperature and mole fraction. This equation is based upon a quadratic mixing rule for the Gibbs free energy. Our model demonstrates to correlate the surface tension of biodiesel mixtures with an average absolute percentage deviation of 0.4%. The correlative capability of the proposed model is compared with Li et al., Fu et al., Myers and Scott, Wang-Chen, Hoke and Patton, and Jouyban et al. equations. (C) 2021 Elsevier B.V. All rights reserved.
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