Diffusion and Viscosity Coefficients of Binary Non-Electrolyte Liquid Mixtures

Awan, Mohammad Afzal (1989) Diffusion and Viscosity Coefficients of Binary Non-Electrolyte Liquid Mixtures. PhD thesis, University of Glasgow.

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Abstract

The Taylor Dispersion Technique has been applied to the measurement of mutual diffusion coefficients for liquid mixtures at elevated pressures. The systems studied were toluene plus n-hexane and toluene plus acetonitrile over the temperature range from 273 to 348 K and up to 25 MPa. The density and viscosity for the same mixtures have been measured from 298 to 373 K and up to 500 MPa. A self-centering falling body viscometer was used for the viscosity measurements, and densities were measured with a bellows volumometer. High pressure densities are also reported for the ternary mixture of n-octane, i-octane and oct-1-ene. Measurements were also made of the mutual diffusion coefficient of benzene and eight fluorinated benzenes at trace concentration in n-hexane from 213 to 333 K, at atmospheric pressure. The results have been used to make a rigorous test of current theoretical and empirical relationships. The Tait equation fits the density data within 0.2%. The trace mutual diffusion coefficient data are satisfactorily accounted for on the basis of the rough hard-sphere model and the high pressure viscosity coefficient results are successfully correlated using a method based on consideration of hard-sphere theory. The Grunberg and Nissan equation satisfactorily reproduces the mixture viscosity data, with parameter G dependent on temperature, pressure and concentration. An important development in the correlation of dense fluid transport properties on the basis of hard-sphere model is described, whereby diffusion and viscosity coefficients are considered simultaneously. This should lead to more reliable prediction methods for transport coefficients of dense fluids and fluid mixtures.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: Physical chemistry
Date of Award: 1989
Depositing User: Enlighten Team
Unique ID: glathesis:1989-77819
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 14 Jan 2020 11:53
Last Modified: 14 Jan 2020 11:53
URI: http://theses.gla.ac.uk/id/eprint/77819

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