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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Main Authors: Manuel S. Páez Meza, Plinio Cantero-López, Dairo E. Pérez Sotelo
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:Journal of King Saud University: Science
Subjects:
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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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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AT dairoeperezsotelo semiempiricalalgorithmforestimationofcalorimetricpropertiesinbinaryliquidmixturesfromacousticandvolumetricdata