Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data
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 concentratio...
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Elsevier
2022-02-01
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Series: | Journal of King Saud University: Science |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1018364721004523 |
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author | Manuel S. Páez Meza Plinio Cantero-López Dairo E. Pérez Sotelo |
author_facet | Manuel S. Páez Meza Plinio Cantero-López Dairo E. Pérez Sotelo |
author_sort | Manuel S. Páez Meza |
collection | DOAJ |
description | 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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id | doaj.art-ed686ec1c2e145fba69a5ea5410e58b2 |
institution | Directory Open Access Journal |
issn | 1018-3647 |
language | English |
last_indexed | 2024-12-24T00:24:28Z |
publishDate | 2022-02-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of King Saud University: Science |
spelling | doaj.art-ed686ec1c2e145fba69a5ea5410e58b22022-12-21T17:24:30ZengElsevierJournal of King Saud University: Science1018-36472022-02-01342101790Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric dataManuel S. Páez Meza0Plinio Cantero-López1Dairo E. Pérez Sotelo2Grupo de Fisicoquímica de Mezclas Líquidas, Department of Chemistry, University of Cordoba, Carrera 6ª # 77 – 305, Montería, Córdoba, Colombia; Corresponding authors at: Center of Applied Nanoscience (CANS), Facultad de Ciencias Exactas, Universidad Andres Bello, Av. República 330, Santiago, Chile.Relativistic Molecular Physics Group (ReMoPh), PhD program in Molecular Physical Chemistry, Facultad de Ciencias Exactas, Universidad Andres Bello, República 275, Santiago, Chile; Center of Applied Nanoscience (CANS), Facultad de Ciencias Exactas, Universidad Andres Bello, Av. República 330, Santiago, Chile; Corresponding authors at: Center of Applied Nanoscience (CANS), Facultad de Ciencias Exactas, Universidad Andres Bello, Av. República 330, Santiago, Chile.Grupo de Fisicoquímica de Mezclas Líquidas, Department of Chemistry, University of Cordoba, Carrera 6ª # 77 – 305, Montería, Córdoba, ColombiaIn 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.http://www.sciencedirect.com/science/article/pii/S1018364721004523Semi-empirical algorithmIsothermal compressibilityHeat capacityAdiabatic coefficientSpeed of soundIsobaric expansibility |
spellingShingle | Manuel S. Páez Meza Plinio Cantero-López Dairo E. Pérez Sotelo Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data Journal of King Saud University: Science Semi-empirical algorithm Isothermal compressibility Heat capacity Adiabatic coefficient Speed of sound Isobaric expansibility |
title | Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
title_full | Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
title_fullStr | Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
title_full_unstemmed | Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
title_short | Semi-empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
title_sort | semi empirical algorithm for estimation of calorimetric properties in binary liquid mixtures from acoustic and volumetric data |
topic | Semi-empirical algorithm Isothermal compressibility Heat capacity Adiabatic coefficient Speed of sound Isobaric expansibility |
url | http://www.sciencedirect.com/science/article/pii/S1018364721004523 |
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