Homotopy continuation based prediction of azeotropy in binary and multicomponent mixtures through equations of state

Literature Information

Publication Date 2004-04-16
DOI 10.1039/B315579J
Impact Factor 3.676
Authors

Naveed Aslam, Aydin K. Sunol


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Abstract

A method to compute all the azeotropes in homogeneous binary and multicomponent mixtures for entire two-phase pressure range is described. The method is based on solving the necessary condition of azeotropy for all the possible solutions through homotopy continuation approach. The method is mathematically guaranteed to predict all the possible azeotropes and is in close agreement with experimental data for any equation of state that can adequately represent the phase behavior. Both vapor and liquid phase non-idealities are incorporated using fugacity coefficients from the Peng–Robinson–Stryjek–Vera equation of state with the Wong–Sandler mixing rules. The method is also capable of predicting the value of bifurcation pressure where homogeneous azeotropes will appear or disappear. Polyazeotropy in binary mixtures is a singular case of vapor-liquid equilibrium and can also be computed by solving the necessary condition of azeotropy in binary mixtures for multiple solutions through homotopy continuation based approach. The approach can also systematically search the entire two-phase pressure range for the appearance, disappearance and persistence of azeotropy and polyazeotropy in binary and multicomponent mixtures.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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