1994
DOI: 10.1002/aic.690400810
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Calculating critical transitions of fluid mixtures: Theory vs. experiment

Abstract: The progress in predicting critical transitions in fluid mixtures is reviewed. The critical state provides a valuable insight into the general phase behavior of a fluid and is closely linked with the nature and strength of intermolecular interaction. Calculations of critical equilibria have been con fined mainly to binary mixtures. The prediction of binary gas-liquid critical properties was initially limited to empirical correlations. These techniques have been superseded by rigorous calculations of the critic… Show more

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Cited by 87 publications
(43 citation statements)
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“…A comprehensive review on calculation of critical points was published by Sadus [6]. All the methods discussed prescribe how to find the critical temperature and volume (and therefore also the pressure) for a mixture of known composition.…”
Section: Calculation Of Critical Linesmentioning
confidence: 99%
“…A comprehensive review on calculation of critical points was published by Sadus [6]. All the methods discussed prescribe how to find the critical temperature and volume (and therefore also the pressure) for a mixture of known composition.…”
Section: Calculation Of Critical Linesmentioning
confidence: 99%
“…Thus, of course, calculations of the critical points are important in several processes involving fluid phase equilibria at high pressure. Besides, as discussed by Sadus (1994), the study of critical equilibrium is also of considerable practical utility in understanding the phase equilibrium of fluids in general. This author emphasizes that the critical state can be used to determine the global nature of the phase behavior of a mixture, according to the phase behavior classification of van Konynenburg and Scott (1980), for binary mixtures, based on critical transitions.…”
Section: Introductionmentioning
confidence: 99%
“…Michelsen [44] used an alternate efficient technique that does not use any determinants but depends on an eigenvalue method. Another efficient algorithm was proposed by Hicks and Young [45] and extended by Sadus [46][47]; first, eq. (1.a) is solved separately and then D2 is evaluated using the solution of eq.…”
Section: Critical-point Calculationsmentioning
confidence: 99%