2015
DOI: 10.1016/j.fluid.2015.04.024
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A generalized Kiselev crossover approach applied to Soave–Redlich–Kwong equation of state

Abstract: Three different variants of the crossover Soave-Redlich-Kwong equation of state are applied to describe the equilibrium behaviour of 72 common fluids -27 hydrocarbons (including the first 10 n-alkanes), 36 halogenated refrigerants, 5 cryogenics (fluorine, oxygene, nitrogene, argon and carbon monoxide) and 4 other industrially important inorganic fluids (carbon dioxide, sulfur dioxide, nitrous oxide and sulfur hexafluoride). The model contains six compound dependent parameters; two of them (a 0 and b of the cla… Show more

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Cited by 17 publications
(13 citation statements)
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“…The density in the critical region is well represented by using the NEoS, compared to the other EoSs considered in this work. However, this prediction could be better by combining the NEoS with a renormalization group theory [44], [45], using a crossover approach [46], [47] or the White's recursive method [48]. Such a study will be carried out in a future work.…”
Section: Resultsmentioning
confidence: 99%
“…The density in the critical region is well represented by using the NEoS, compared to the other EoSs considered in this work. However, this prediction could be better by combining the NEoS with a renormalization group theory [44], [45], using a crossover approach [46], [47] or the White's recursive method [48]. Such a study will be carried out in a future work.…”
Section: Resultsmentioning
confidence: 99%
“…The classical values for these two exponents are 0.5 and 3.0, while the ones obtained in our calculations are 0.370 and 4.668, respectively, which are closer to the universal values 0.326 and 4.8. 44 (a)…”
Section: Substance Parametersmentioning
confidence: 99%
“…It is right that the evolution of binary interaction parameters with temperature is better described by SAFT type models, but it is well known that SAFT type models are not good to calculate critical point [41]. It is still possible to correct the predicting capability of SAFT type models with crossover theory [42] [43].…”
Section: Correlationsmentioning
confidence: 99%