Viscometric studies of molecular interactions in binary mixtures of ethylbenzene with (C4 to C8) Alkan-1-ols
•New data of viscosities of solvent mixtures containing a self-associated liquid.•Composition-temperature dependent interactions in the binary systems.•Variance in solution viscosity when dispersion and dipolar forces are operative.•Quantum mechanical calculations supported experimental findings.•Th...
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Veröffentlicht in: | Journal of molecular liquids 2021-09, Vol.337, p.116457, Article 116457 |
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Hauptverfasser: | , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •New data of viscosities of solvent mixtures containing a self-associated liquid.•Composition-temperature dependent interactions in the binary systems.•Variance in solution viscosity when dispersion and dipolar forces are operative.•Quantum mechanical calculations supported experimental findings.•Theoretical derivation of mixture properties using correlative approaches.
Dynamic viscosities (ηexp) for binary mixtures of ethylbenzene with butan-1-ol, pentan-1-ol, hexan-1-ol, heptan-1-ol, and octan-1-ol were measured at varying temperatures (298.15–323.15 K; interval, 5 K) and atmospheric pressure. Viscosity deviations (Δη) across the entire range of mole fractions were derived from ηexp and were correlated using a Redlich-Kister type polynomial expression. The ηexp were compared with those calculated, ηcal, in terms of the pure components and the adjustable interaction parameters derived from ηexp using Arrhenius, Kendall-Monroe, Grunberg-Nissan, Teja-Rice, and Andrade/DIPPR models to evaluate the validity of the predictive and correlative approaches. The temperature-induced variations in ηexp were discussed considering the impact of the increasing chain-length of alkanols, including molecular interactions among the component molecules in the binary mixtures. A computational quantum mechanical modeling approach, density-functional theory, was used to explore the dimensions in interactions among the binary mixture components. |
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ISSN: | 0167-7322 1873-3166 |
DOI: | 10.1016/j.molliq.2021.116457 |