Probing the Vapor−Liquid Phase Behaviors of Near-Critical and Supercritical Fluids Using a Shear Mode Piezoelectric Sensor

2003 ◽  
Vol 75 (3) ◽  
pp. 479-485 ◽  
Author(s):  
Robert M. Oag ◽  
Peter J. King ◽  
Christopher J. Mellor ◽  
Michael W. George ◽  
Jie Ke ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Supercritical Fluids ◽  
Piezoelectric Sensor ◽  
Shear Mode ◽  
Phase Behaviors ◽  
Vapor Liquid

Phenomenological hysteresis model for vapor-liquid phase transitions

2008 ◽  
Vol 3 (1) ◽  
pp. 5-28 ◽  
Author(s):  
Ildiko Jancskar ◽  
Amalia Ivanyi
Keyword(s):  
Phase Transitions ◽  
Liquid Phase ◽  
Hysteresis Model ◽  
Vapor 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.

Investigation of 3C-SiC growth on Si(111) by vapor–liquid–solid transport using a SiGe liquid phase

2012 ◽  
Vol 354 (1) ◽  
pp. 119-128 ◽  
Author(s):  
Stéphane Berckmans ◽  
Laurent Auvray ◽  
Gabriel Ferro ◽  
François Cauwet ◽  
Véronique Soulière ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Vapor Liquid Solid ◽  
Solid Transport ◽  
Vapor Liquid
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