Evaluation of UNIFAC group interaction parameters usijng properties based on quantum mechanical calculations

Current group-contribution methods such as ASOG and UNIFAC are widely used for approximate estimation of mixture behavior but unable to distinguish between isomers. Atoms in Molecules (AIM) theory can solve these problems by using quantum mechanics and computational chemistry to compute atomic contributions to molecular properties and to intermolecular interactions. Rigorously defined properties available through AIM theory and new functional group definitions are used for the UNIFAC model to predict the behavior of various mixtures. Results are presented for various mixtures with nine regressed global parameters to optimize model's predictive capability. The results are also compared to analogous results for the Knox model.

Name thesis:degree_name

Master of Science in Chemical Engineering - (M.S.)

Discipline thesis:degree_discipline

Chemical Engineering

Year

2005

Author dc:creator

• Kim, Hansan

Contributors dc:contributor

• Dana E. Knox
• Michael Chien-Yueh Huang
• R. P. T. Tomkins

• Atoms in molecules theory
• Quantum mechanics
• Computational chemistry
• Molecular properties
• Intermolecular interactions
• Chemical Engineering

Repository record dc:identifier

https://digitalcommons.njit.edu/theses/479

OAI identifier oai:identifier

oai:digitalcommons.njit.edu:theses-1478