New approach for the prediction of azeotropy in binary systems

Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column

“…Unlike the application in this paper, there are mixtures called azeotropes, which exhibits the same boiling point throughout the distillation process. 30 Alves et al 31 presented a new approach for the prediction of azeotrope formation using neural networks. Figure 1 depicts the schematic diagram of the bubble cap distillation column.…”

Phase Stability Analysis: A Consistent Guide for Drawing Maps for Safe Traveling through the World of Azeotropy and Miscibility

“…In some of these works, the objective is to obtain that data using a minimum of properties of the components of the system. For example, Brito Alves et al 10 presented a neural network approach for the prediction of azeotrope formation using a series of macroscopic and microscopic properties of the pure components. Li et al 11 proposed a method to predict homogeneous azeotropes in binary mixtures using pure component properties and activity coefficients at quasi-infinite dilution, which were estimated by the modified separation of cohesive energy density model, although any suitable method could be used.…”