1994
DOI: 10.1002/bbpc.19940980711
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Prediction of surface tension of liquids

Abstract: Most of useful estimation techniques for surface tension of liquids are based on empirical correlations and general methods with molecular basis are rare in the literature. In this paper we show how combining an expression derived from the hole theory of Furth with an statistical-mechanical based equation of state, an estimation of surface tension and its behavior with temperature is easily obtained.

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Cited by 2 publications
(3 citation statements)
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“…is close to unity for all the liquids studied. This result confirms the physical meaning of the characteristic parameters included in our model, as concluded from previous surface tension correlation schemes [2,21,22]. A comparison of the quality of our model to account for both temperature and pressure variations of α p ( p, T ) is illustrated in figure 4 for xenon over the whole liquid range.…”
Section: An α P -Based Thermodynamic Model For Compressed Liquidssupporting
confidence: 87%
See 1 more Smart Citation
“…is close to unity for all the liquids studied. This result confirms the physical meaning of the characteristic parameters included in our model, as concluded from previous surface tension correlation schemes [2,21,22]. A comparison of the quality of our model to account for both temperature and pressure variations of α p ( p, T ) is illustrated in figure 4 for xenon over the whole liquid range.…”
Section: An α P -Based Thermodynamic Model For Compressed Liquidssupporting
confidence: 87%
“…Thus, our model requires a merit function to represent p sp (T ). We shall make use of the proved relationship between p sp and surface tension [19,21] to provide a suitable simple expression. Reid et al [2] compiled a series of functional forms to account for the temperature dependence of surface tension.…”
Section: Constraints To An α P -Based Thermodynamic Model For Compres...mentioning
confidence: 99%
“…Numerous methods have been proposed to estimate γ of pure and mixture liquids. An extensive revision of these methods is reported by Hirschfelder et al and Rubio et al …”
Section: Prediction Of Physicochemical Propertiesmentioning
confidence: 99%