Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data

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Miniatura
Fecha
2022-02
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Elsevier B.V.
Nombre de Curso
Licencia CC
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
Licencia CC
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Resumen
In the present work, a semi-empirical algorithm is proposed for estimating the adiabatic coefficient (γ), the isothermal compressibility (κτ), the heat capacity at constant pressure (cp), and constant volume (cv), for liquid mixtures of organic compounds as a function of temperature and concentration. The algorithm was applied to the binary systems: 1,6-Dichlorohexene (x) + Dodecane (1-x) and 1,5-Dichloropentane (x) + Dodecane (1-x) reported in literature. The obtaining values for γ, cp, cv and κτ are reported at all concentrations and temperatures. The implementation of the algorithm required experimental data of the adiabatic coefficients of the pure components (γi0) to 298.15 K, acoustic and volumetric data of the binary mixture in the entire concentration and temperature range between (278.15–328.15) K every 5 K. The results obtained are in excellent agreement with the experimental results.
Notas
Indexación: Scopus.
Palabras clave
Adiabatic coefficient, Heat capacity, Isobaric expansibility, Isothermal compressibility, Semi-empirical algorithm, Speed of sound
Citación
Journal of King Saud University - Science, Volume 34, Issue 2, February 2022, Article number 101790
DOI
10.1016/j.jksus.2021.101790
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