📖
Guaiacol and its mixtures: new data and predictive models Part 1: Phase equilibrium
C. Pereira, C. Féjean, S. Betoulle, Nicolas Ferrando, Rafael Lugo, J.C. de Hemptinne, P. Mougin

Guaiacol and its mixtures: new data and predictive models Part 1: Phase equilibrium

Science & Mathematics Published 2018 Verification Pending

Overview & Synopsis

In the present work, new experimental data of guaiacol mixture with methane were investigated. The results have been evaluated using several thermodynamic approaches. Predictive calculations using the GC-PPC-SAFT (Group Contribution-Polar Perturbed Chain-Statistical Associating Fluid Theory) equation of state and Molecular Simulation using the AUA4 force field were performed. Data from literature for the binary systems of guaiacol with CO 2 , ethanol, octanol, acetone, butyl acetate and water were used to evaluate the thermodynamic models. The effect of the association scheme is discussed at length. Predictive phase equilibrium for systems containing small toxic compounds, such as hydrogen, carbon monoxide, hydrogen sulfide and ammonia were also performed. In GC-PPC-SAFT, two configurations of associative sites for guaiacol were considered. The predicted values showed to be consistent with new experimental data. The effect of conformational structure of guaiacol on phase equilibria was detected.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Guaiacol and its mixtures: new data and predictive models Part 1: Phase equilibrium
Author / Organization C. Pereira, C. Féjean, S. Betoulle, Nicolas Ferrando, Rafael Lugo, J.C. de Hemptinne, P. Mougin
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2018
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-177877
Original Source Link Visit Source Page on hal.science »