Improved hydrodynamic equations for the accurate prediction of diffusivities in supercritical carbon dioxide
authors Vaz, RV; Magalhaes, AL; Silva, CM
nationality International
journal FLUID PHASE EQUILIBRIA
author keywords Carbon dioxide; Diffusion coefficients; Hydrodynamic equations; Prediction; Supercritical fluids
keywords BINARY DIFFUSION-COEFFICIENTS; FLUID CHROMATOGRAPHY SFC; IMPULSE-RESPONSE METHOD; TAYLOR DISPERSION TECHNIQUE; PARTIAL MOLAR VOLUMES; LENNARD-JONES FLUID; ACID METHYL-ESTERS; HARD-SPHERE THEORY; INFINITE-DILUTION; TRACER DIFFUSION
abstract The tracer diffusion coefficients are fundamental quantities in simulation and design. Due to the increasing interest upon biorefinery and sustainability in general, green solvents and processes, like carbon dioxide and supercritical fluid extraction, are attracting relevance in both chemistry and chemical engineering research and development. In this work, tracer diffusion coefficients at infinite dilution are focused aiming to propose reliable models for their pure estimation. Four predictive hydrodynamic models were proposed on the basis of modifications introduced in the original expressions of Wilke-Chang, Scheibel, Lusis-Ratcliff, and Tyn-Calus. The modified equations provide reliable results with average absolute errors between 7.86% and 8.56%, and inferior dispersion around the averages. On the contrary, the original correlations taken from the literature achieve errors between 11.89% and 27.25%, along with higher scattering of results. Furthermore, the new expressions offer average errors between 0.47% and 0.53%, while the original ones provide systematic overestimations between 2.95% and 27.23%. In the whole, the new expressions proposed in this work are equally able to predict accurately tracer diffusion coefficients of any solutes in supercritical carbon dioxide. (C) 2013 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE BV
issn 0378-3812
year published 2013
volume 360
beginning page 401
ending page 415
digital object identifier (doi) 10.1016/j.fluid.2013.09.052
web of science category Thermodynamics; Chemistry, Physical; Engineering, Chemical
subject category Thermodynamics; Chemistry; Engineering
unique article identifier WOS:000329416000051
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journal impact factor 2.838
5 year journal impact factor 2.454
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