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Representation and Validation of Liquid Densities for Pure Compounds and Mixtures

Published

Author(s)

Vladimir Diky, John P. O'Connell, Jens Abildskov, Kenneth G. Kroenlein, Michael D. Frenkel

Abstract

Reliable correlation and prediction of liquid densities are important for designing chemical processes at normal and elevated pressures. We have extended a corresponding states model from molecular theory to yield a robust method for quality testing of experimental data that also provides predicted values at unmeasured conditions. The model has been shown to successfully represent and validate the pressure and temperature dependence of liquid densities greater than 1.5 of the critical density for pure compounds, binary mixtures, and ternary mixtures from the triple to critical temperatures at pressures up to 1000 MPa. The systems include the full range of organic compounds, including complex solutions, and ionic liquids. Minimal data are required for making predictions.
Citation
Journal of Chemical and Engineering Data

Keywords

data validation, data representation, density, liquid, ThermoData Engine

Citation

Diky, V. , O'Connell, J. , Abildskov, J. , Kroenlein, K. and Frenkel, M. (2015), Representation and Validation of Liquid Densities for Pure Compounds and Mixtures, Journal of Chemical and Engineering Data, [online], https://doi.org/10.1021/acs.jced.5b00477 (Accessed June 25, 2024)

Issues

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Created August 7, 2015, Updated November 10, 2018