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

Autor: Manuel S. Páez Meza, Plinio Cantero-López, Dairo E. Pérez Sotelo
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of King Saud University: Science, Vol 34, Iss 2, Pp 101790- (2022)
Druh dokumentu: article
ISSN: 1018-3647
DOI: 10.1016/j.jksus.2021.101790
Popis: 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.
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