Back to results

University of Missouri--Rolla

Binary molecular diffusivities in liquids: prediction and comparison with experimental data

Abstract

dc:description.abstract

"The Eyring rate theory equation has been modified successfully to enable predictions of binary molecular diffusivities for a wide variety of liquid-liquid systems. The activation free energy for binary diffusion has been evaluated in terms of the activation free energies for self diffusion of the solvent and solute. This was accomplished through the use of regular solution theory by relating the bond breaking energy of the jump step to the bond breaking energy in evaporation. Diffusivities estimated by this equation and the equations developed by Olander, by Gainer and Metzner, and by Wilke and Chang were compared with experimental data. All of the equations tested predicted adequately the diffusivities for most low viscosity as well as for some moderately high viscosity systems. The high viscosity system diffusivities are more accurately predicted by three modified absolute rate theory equations. An important result of this study was the observation that the jump step portion of the total activation energies generally constituted from 0 to 35 percent of the total energy for all of the modified absolute rate theory equations"--Abstract, page i.

Degree

thesis:*
Name thesis:degree_name
Ph. D. in Chemical Engineering
Grantor
University of Missouri--Rolla
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mitchell, Ronald Dean

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarsmine.mst.edu:doctoral_dissertations-3054

Chain of custody

source
Harvested from
Missouri University of Science and Technology
Base URL
scholarsmine.mst.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Mitchell, Ronald Dean. Binary molecular diffusivities in liquids: prediction and comparison with experimental data. University of Missouri--Rolla, 2016. https://scholarsmine.mst.edu/doctoral_dissertations/2052