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
journal	JOURNAL OF SUPERCRITICAL FLUIDS
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