(Liquid+liquid) phase equilibria in electrolyte solutions. Effect of pressure on closed-loop behavior of (a tetra-alkylammonium salt+water)

1997 ◽  
Vol 29 (12) ◽  
pp. 1409-1415 ◽  
Author(s):  
Hermann Weingärtner
Keyword(s):  
Liquid Phase ◽  
Phase Equilibria ◽  
Closed Loop ◽  
Salt Water ◽  
Electrolyte Solutions ◽  
Effect Of Pressure ◽  
Alkylammonium Salt

Effect of pressure on the solid-liquid phase equilibria in (water + sodium sulfate) system

1992 ◽  
Vol 76 ◽  
pp. 163-173 ◽  
Author(s):  
Y. Tanaka ◽  
S. Hada ◽  
T. Makita ◽  
M. Moritoki
Keyword(s):  
Liquid Phase ◽  
Phase Equilibria ◽  
Sodium Sulfate ◽  
Effect Of Pressure ◽  
Solid Liquid

Effect of pressure on the solid-liquid phase equilibria of binary organic systems

1989 ◽  
Vol 10 (1) ◽  
pp. 27-34 ◽  
Author(s):  
K. Nagaoka ◽  
T. Makita ◽  
N. Nishiguchi ◽  
M. Moritoki
Keyword(s):  
Liquid Phase ◽  
Phase Equilibria ◽  
Effect Of Pressure ◽  
Organic Systems ◽  
Solid Liquid

Modeling electrolyte solutions with the extended universal quasichemical (UNIQUAC) model

2005 ◽  
Vol 77 (3) ◽  
pp. 531-542 ◽  
Author(s):  
Kaj Thomsen
Keyword(s):  
Thermal Properties ◽  
Liquid Phase ◽  
Phase Equilibria ◽  
Thermodynamic Model ◽  
Specific Interaction ◽  
Electrolyte Solutions ◽  
Excess Function ◽  
Uniquac Model ◽  
Solid Liquid ◽  
Standard States

The extended universal quasichemical (UNIQUAC) model is a thermodynamic model for solutions containing electrolytes and nonelectrolytes. The model is a Gibbs excess function consisting of a Debye–Hückel term and a standard UNIQUAC term. The model only requires binary ion-specific interaction parameters. A unique choice of standard states makes the model able to reproduce solid–liquid, vapor–liquid, and liquid–liquid phase equilibria as well as thermal properties of electrolyte solutions using one set of parameters.

VAN LAAR EQUATION AND UNIFAC TO CORRELATE THE DATA LIQUID PHASE EQUILIBRIA FOR THE EXTRACTION OF PHENOLIC COMPOUNDS FROM MODEL COAL TAR

2016 ◽  
Vol 72 (9) ◽  
Author(s):  
Dewi Selvia Fardhyanti ◽  
Wahyudi B. Sediawan ◽  
Panut Mulyono ◽  
Muslikhin Hidayat
Keyword(s):  
Phenolic Compounds ◽  
Liquid Phase ◽  
Phase Equilibria ◽  
Coal Tar ◽  
Van Laar Equation

Liquid/liquid phase equilibrium in the globulin/salt/water systems. Vicilin

1991 ◽  
Vol 54 (2) ◽  
pp. 239-244 ◽  
Author(s):  
Irina A Popello ◽  
Vladimir V Suchkov ◽  
Valeriy Ya Grinberg ◽  
Vladimir B Tolstoguzov
Keyword(s):  
Phase Equilibrium ◽  
Liquid Phase ◽  
Salt Water ◽  
Water Systems

Solid-liquid Phase Equilibria of U(VI) in NaCl Solutions

1998 ◽  
Vol 62 (2) ◽  
pp. 245-263 ◽  
Author(s):  
P. Dı́az Arocas ◽  
B. Grambow
Keyword(s):  
Liquid Phase ◽  
Phase Equilibria ◽  
Solid Liquid

scholarly journals Thermodynamics and Machine Learning Based Approaches for Vapor–Liquid–Liquid Phase Equilibria in n-Octane/Water, as a Naphtha–Water Surrogate in Water Blends

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 413
Author(s):  
Sandra Lopez-Zamora ◽  
Jeonghoon Kong ◽  
Salvador Escobedo ◽  
Hugo de Lasa
Keyword(s):  
Machine Learning ◽  
Liquid Phase ◽  
Phase Equilibria ◽  
Aspen Plus ◽  
Phase Region ◽  
Two Phase ◽  
Technical Literature ◽  
Phase Liquid ◽  
Liquid Vapor ◽  
Vapor Liquid

The prediction of phase equilibria for hydrocarbon/water blends in separators, is a subject of considerable importance for chemical processes. Despite its relevance, there are still pending questions. Among them, is the prediction of the correct number of phases. While a stability analysis using the Gibbs Free Energy of mixing and the NRTL model, provide a good understanding with calculation issues, when using HYSYS V9 and Aspen Plus V9 software, this shows that significant phase equilibrium uncertainties still exist. To clarify these matters, n-octane and water blends, are good surrogates of naphtha/water mixtures. Runs were developed in a CREC vapor–liquid (VL_ Cell operated with octane–water mixtures under dynamic conditions and used to establish the two-phase (liquid–vapor) and three phase (liquid–liquid–vapor) domains. Results obtained demonstrate that the two phase region (full solubility in the liquid phase) of n-octane in water at 100 °C is in the 10-4 mol fraction range, and it is larger than the 10-5 mol fraction predicted by Aspen Plus and the 10-7 mol fraction reported in the technical literature. Furthermore, and to provide an effective and accurate method for predicting the number of phases, a machine learning (ML) technique was implemented and successfully demonstrated, in the present study.

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