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Correlation of Experimental Liquid–Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network
journal contribution
posted on 2017-05-24, 11:35 authored by Sezin Bekri, Dilek Özmen, Atilla ÖzmenIn this work,
liquid–liquid equilibrium (LLE) data for the ternary systems
(water + propionic acid + solvent) were experimentally obtained at
atmospheric pressure and 298.2 K. The ternary systems show type-1
behavior of LLE. Cyclopentane, cyclopentanol, 2-octanone, and dibutyl
maleate were chosen as solvent and it has been noted that there are
no data in the literature on these ternary systems. The consistency
of the experimental tie-line data was checked using the Hand and Othmer-Tobias
correlation equations. A comparison of the extracting capabilities
of the solvent was made with respect to the distribution coefficients
and separation factors. The correlation of the experimental tie-line
data was confirmed by the NRTL thermodynamic model. A Group Method
of Data Handling (GMDH)-type neural network (NN) was also used to
correlate the experimental tie-lines. It is shown that the results
of the both models cohere with the experimental values.