Log, A.
, Diky, V.
and Huber, M.
(2023),
Assessment of a Parachor Model for the Surface Tension of Binary Mixtures, International Journal of Thermophysics, [online], https://doi.org/10.1007/s10765-023-03216-z, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936505
(Accessed December 15, 2024)
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Assessment of a Parachor Model for the Surface Tension of Binary Mixtures
Published
Author(s)
Alexandra Metallinou Log, ,
Abstract
We constructed an experimental database for the surface tension of binary mixtures containing a wide variety of fluids, from the chemical classes (water, alcohols, amines, ketones, linear and branched alkanes, naphthenes, aromatics, refrigerants, and cryogens). The resulting data set includes 65 pure fluids and 154 binary pairs with a total of 8205 points. We used this database to test the performance of a parachor model for the surface tension of binary mixtures. The model uses published correlations to determine the parachors of the pure fluids. The model has a single, constant binary interaction parameter that was found by fitting experimental mixture data. It can be also used in a predictive mode when the interaction parameters are set to zero. We present detailed comparisons on the performance of the model for both cases.Citation
International Journal of Thermophysics
Volume
44
Pub Type
Journals
Download Paper
Keywords
binary mixtures, parachor, surface tension
Citation
Issues
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Created June 7, 2023, Updated June 8, 2023