Unlike Lennard-Jones Parameters for Vapor-Liquid Equilibria
T. Schnabel, J. Vrabec, and H. Hasse

TL;DR
This study examines how unlike Lennard-Jones parameters affect vapor-liquid equilibria and evaluates the predictive accuracy of eleven combining rules, concluding that direct adjustment to experimental data is necessary for accurate mixture modeling.
Contribution
It systematically analyzes the influence of unlike LJ parameters on vapor-liquid properties and assesses the performance of multiple combining rules, highlighting the need for experimental data fitting.
Findings
Vapor pressure depends strongly on both size and energy LJ parameters.
Bubble density is mainly influenced by the size parameter.
None of the eleven combining rules consistently predicts accurate unlike LJ parameters.
Abstract
The influence of the unlike Lennard-Jones (LJ) parameters on vapor-liquid equilibria of mixtures is investigated and the performance of eleven combining rules is assessed. In the first part of the work, the influence of the unlike LJ size and energy parameter on vapor pressure, bubble density and dew point composition is systematically studied for the mixtures CO+ and + , respectively. It is found that mixture vapor pressure depends strongly both on the size and the energy parameter whereas the bubble density depends mostly on the size parameter and the dew point composition is rather insensitive to both parameters. In preceding work, unlike LJ parameters were adjusted to experimental binary vapor-liquid equilibria for 44 real mixtures. On the basis of these results, in the second part of the work eleven combining rules are assessed regarding their…
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Taxonomy
TopicsPhase Equilibria and Thermodynamics · nanoparticles nucleation surface interactions · Process Optimization and Integration
