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Article Dans Une Revue Industrial and engineering chemistry research Année : 2022

Entropy Scaling-Based Correlation for Estimating the Self-Diffusion Coefficients of Pure Fluids

Résumé

A new model for correlating self-diffusion coefficients is proposed here. It is based on the entropy scaling concept and makes it possible to quantitatively estimate self-diffusion coefficients in any fluid state (subcritical gas and liquid as well as supercritical states). A general relationship between a dimensionless form of the self-diffusion coefficient and a function of the Tvresidual entropy is proposed. This relationship involves thermodynamic properties that were straightforwardly estimated using the I-PC-SAFT and tc-PR equations of state (EoSs). First, the proposed model was parameterized using component-specific parameters. To do so, 72 pure components and ∼2400 pieces of experimental data were considered. Second, a chemical-family parametrization method was used. Four chemical families were defined, and parameter sets valid for all of the compounds of a given family were estimated. Regardless of the considered EoS, the component-specific parametrization enables us to describe data with an average deviation of 7.5%, while when using a chemical-family parametrization, this deviation reaches 9.5%.
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Dates et versions

hal-03787047 , version 1 (23-09-2022)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Aghilas Dehlouz, Jean-Noël Jaubert, Guillaume Galliero, Marc Bonnissel, Romain Privat. Entropy Scaling-Based Correlation for Estimating the Self-Diffusion Coefficients of Pure Fluids. Industrial and engineering chemistry research, 2022, 61 (37), pp.14033 - 14050. ⟨10.1021/acs.iecr.2c01086⟩. ⟨hal-03787047⟩
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