Modeling of the Vapor-Liquid Equilibria Properties of Binary Mixtures for Refrigeration Machinery

The presence of both critical and azeotropic states in the vapor-liquid equilibria (VLE) is a very important issue chemical refrigeration engineering. knowledge phase behavior (subcritical phase/supercritical phase) refrigerant allows designing optimizing industrials processes. However, it rare to find data for this information, which poses great challenge researchers develop predictive correlative thermodynamic models. present study proposes computation compositions pressures points isothermal VLE as well correlation experimental data. Firstly, (PTxy) was used predict behaviors determine their properties using relative volatility model. Secondly, model (PR-MC-WS-NRTL) applied correlate binary systems describe behavior. results proved that there good agreement between predicted values obtained by developed reference error does not exceed 4.3 % molar fraction 7.5 pressure On other hand deviation respectively less than 2.60 2.58 liquid vapor mole fractions This shows ability these models give reliable solution modulate systems.