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Tags
HERO ID
4733810
Reference Type
Journal Article
Title
Liquid-liquid equilibrium data for water plus acetic acid plus solvent (dichloromethane plus methyl isobutyl ketone) at T=301.15 K
Author(s)
Timedjeghdine, M; Hasseine, A; Binous, H; Bacha, O; Attarakih, M
Year
2017
Is Peer Reviewed?
Yes
Journal
Desalination and Water Treatment
ISSN:
1944-3994
EISSN:
1944-3986
Volume
67
Page Numbers
125-132
Language
English
DOI
10.5004/dwt.2017.20251
Web of Science Id
WOS:000403569700015
Abstract
Liquid-liquid equilibrium (LLE) data for water + acetic acid + solvent (dichloromethane + methyl isobutyl ketone) ternary systems are measured experimentally at T = 301.15 K and p = 1 atm. Different proportions of pure solvents dichloromethane (DCM) and methyl isobutyl ketone (MIBK) are investigated. The cloud-point titration technique is employed in order to determine the equilibrium solubility data. The chemical species' concentrations, in both the light and heavy phases, were estimated using refractive index measurements. For activity coefficients prediction, the non-random two liquids (NRTL) model was used to correlate the measured tie-line data. Two evolutionary optimization methods (i.e., the genetic algorithm and the particle swarm optimization) are used in order to estimate the binary interaction parameters for the NRTL model. In addition to this, both the Othmer-Tobias and the Hand correlations are used to verify the thermodynamic consistency and reliability of the experimental tie-line measured data. Finally, the distribution coefficients and the separation factors are calculated in order to determine the suitability of the mixed solvents for the acetic acid extraction from water. The present results indicate that the mixed solvent (50% DCM + 50% MIBK) is the most suitable solvent for the separation the acetic acid from water.
Keywords
Acetic acid extraction; Liquid-liquid equilibrium; Distribution coefficient and separation factor; Genetic algorithm; Particle swarm optimization
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