Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6456
Title: Calculation of Vapor-Liquid Phase Diagram of the Binary Mixture of Methanol and Benzene using Gibbs Ensemble Monte Carlo.
Authors: MUKHERJEE, ARNAB
YADAV, MANJUL
Dept. of Chemistry
20161174
Keywords: Monte Carlo
azeotrope
simulation
Issue Date: Dec-2021
Citation: 54
Abstract: Azeotropes have been always remained the topic of interest due to the challenges they pose in their separation. Although experimental studies have been done with the infrared spec- troscopy (IR), Raman spectroscopy, mass spectroscopy (MS), X-ray diffraction, inelastic neu- tron spectroscopy, nuclear magnetic resonance spectroscopy (NMR), and Fourier-transform infrared spectroscopy (FT-IR) setups to know the reason behind this unique behavior of boiling at a constant temperature, these experimental studies can only infer the results from the data obtained. However, they cannot provide the molecular-level picture of what happens at the azeotropic point. To study the molecular mechanism and the role of ther- modynamics in the formation of azeotropes, molecular simulations are the most helpful tool to explain the macroscopic picture using the microscopic properties of the underlying ener- getics. This study employs the Metropolis Monte Carlo method to investigate the molecular structure at azeotropic composition. We have used the united atom-transferable potentials for phase equilibria (TraPPE-UA) force field to model the methanol/benzene mixture (pos- itive azeotrope). Various analyses are performed to support the accuracy of the force field. The temperature-composition phase diagram and azeotropic point have been predicted us- ing Gibbs ensemble Monte Carlo simulations, with good agreement from experimental data. Further, the TraPPE-UA force field is implemented in the molecular dynamics software to study the effect of temperature in the azeotropic formation. The force field’s accuracy for modeling the methanol/benzene system is checked by comparing the energetics with Monte Carlo results.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6456
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