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Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

PREDICTION OF THERMODYNAMIC STABILITY LIMITS AND CRITICALITY CONDITIONS FOR BINARY HYDROCARBON SYSTEMS

Volume 9, Numéro 4, 2017, pp. 351-361
DOI: 10.1615/ComputThermalScien.2017018774
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RÉSUMÉ

Thermodynamic stability (spinodal) limits are determined for several binary hydrocarbon mixtures of N-methyl-α-pyrrolidone, NMP(1), with alkanes(2). Using the NRTL model, rigorous criteria for both intrinsic stability and criticality conditions are derived and solved numerically using MATLAB. In addition, the spinodal and binodal data are tested for compliance with the critical universality theory. Results indicate that the binary liquid systems of NMP with the considered alkanes represent a universal class such that the binodal and spinodal information for other binary mixtures of NMP within the same class can be predicted using simple power law models. Spinodal and miscibility gaps for binary liquid mixtures of NMP with alkanes not included in the database are predicted and found to be in excellent agreement with those obtained from the developed thermodynamic criteria and the experimental binodal data. The developed simple power law model is very helpful in easy and quick estimation of liquid-liquid equilibrium data.

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