Infinite dilution diffusion coefficients in supercritical fluids /

A predictive equation, based on the rough hard sphere theory and a free volume correlation, was developed for prediction of infinite dilution molecular diffusion coefficients in supercritical fluids. An extensive literature database on diffusion in supercritical fluids was collected in order to eva...

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Bibliographic Details
Main Author: Eaton, Anthony Patrick, 1971-
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1996.
Subjects:
Online Access:http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=739667581&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD
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Summary:A predictive equation, based on the rough hard sphere theory and a free volume correlation, was developed for prediction of infinite dilution molecular diffusion coefficients in supercritical fluids. An extensive literature database on diffusion in supercritical fluids was collected in order to evaluate the proposed equation. Due to the large amounts of scatter for various solvent/solute pairs, in the current literature database, experiments were also conducted over a wide range of temperatures and pressures for specific binary systems. This allowed acquisition of new data in the supercritical fluid density range of 45.7 to 500.2 kg/m 3 . These data were needed for the development of the parameters of the predictive equation. The Taylor dispersion technique was used to measure the infinite dilution diffusion coefficients. The experimental data were analyzed by the method of moments. The theoretical accuracy of the moments method is well within 1%, while the precision of the experimental data is within 15%. The literature data were then used for the evaluation of the model, determining the accuracy of the predictions. The model's accuracy was excellent, with an average absolute error of prediction of 15.08% over 1548 data points. For solvent/solute systems where actual data on the critical constants were available, the average error of prediction reduces to 9.62% over 939 points. These results are well within the average accuracy of the experimental data.
Item Description:Vita.
"Major Subject: Chemical Engineering".
Physical Description:xi, 180 leaves : illustrations ; 28 cm.
Issued also on microfiche from University Microfilms Inc.
Bibliography:Includes bibliographical references: pages 101-107.