Revisiting Tracer Liu-Silva-Macedo model for binary diffusion coefficient using the largest database of liquid and supercritical systems
authors Zezere, B; Portugal, I; Gomes, JRB; Silva, CM
nationality International
author keywords Tracer diffusion coefficients; Modeling; Prediction; Correlation; Supercritical fluids; Liquids
abstract This work compiles the largest database of tracer diffusion coefficients (D-12) containing 6180 experimental points from 331 non-polar and weakly polar liquid and supercritical systems. Then, the Tracer Liu - Silva - Macedo (TLSM) model and its 1-parameter correlations (TLSMd and TLSMen) are evaluated using this database, taking into account the importance of phenomenological and reliable equations for D-12 estimation. The TLSM model achieves good results with absolute average relative deviations (AARD) of 16.84 % while TLSMd and TLSMen show better performance with AARD of 4.53 % and 4.55 %, respectively. All properties and parameters needed for D-12 estimation are compiled in Appendix. For comparison, the models of Wilke-Chang and Reddy-Doraiswamy, and the correlations of Magalhaes et al. (LJ-1) and Dymond-Hildebrand-Batschinsky (DHB) are also assessed. (C) 2020 Elsevier B.V. All rights reserved.
publisher ELSEVIER
issn 0896-8446
isbn 1872-8162
year published 2021
volume 168
digital object identifier (doi) 10.1016/j.supflu.2020.105073
web of science category 21
subject category Chemistry, Physical; Engineering, Chemical
unique article identifier WOS:000618742600011
  ciceco authors
  impact metrics
journal analysis (jcr 2019):
journal impact factor 3.744
5 year journal impact factor 3.536
category normalized journal impact factor percentile 67.828
dimensions (citation analysis):
altmetrics (social interaction):