A predictive model for the diffusion of a highly non-ideal ternary system-Reference-Cited by-同舟云学术

A predictive model for the diffusion of a highly non-ideal ternary system

Published:2018 Issue:27 Volume:20 Page:18436-18446
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Allie-Ebrahim Tariq¹²³⁴,Russo Vincenzo⁵⁶⁷⁸,Ortona Ornella⁵⁶⁷⁸,Paduano Luigi⁵⁶⁷⁸,Tesser Riccardo⁵⁶⁷⁸,Di Serio Martino⁵⁶⁷⁸,Singh Pranav⁹¹⁰¹¹⁴^ORCID,Zhu Qingyu¹²³⁴,Moggridge Geoff D.¹²³⁴,D’Agostino Carmine¹²¹³¹⁴⁴^ORCID

Affiliation:

1. Department of Chemical Engineering and Biotechnology

2. University of Cambridge

3. Cambridge CB3 0AS

4. UK

5. Department of Chemical Sciences

6. Università di Napoli Federico II

7. Napoli 80126

8. Italy

9. Mathematical Institute

10. University of Oxford

11. Oxford OX2 6GG

12. School of Chemical Engineering and Analytical Science

13. The University of Manchester

14. Manchester

Abstract

The Maxwell–Stefan and dynamic concentration fluctuation models were compared in predicting mutual diffusivity in non-ideal ternary mixtures. The dynamic concentration fluctuation model gives improved predictions.

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2018/CP/C8CP03227K

Reference34 articles.

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2. Prediction of multicomponent mutual diffusion in liquids: Model discrimination using NMR data

3. Ternary diffusivities by model-based analysis of Raman spectroscopy measurements

4. The Maxwell-Stefan approach to mass transfer

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