Abstract:
Liquid liquid equilibrium data are indispensable for the design of separation
processes, particularly solvent extraction. Experimental measurement is sometimes
complex and expensive for a large number of chemical systems; hence the need for
reliable predictive models.
Many thermodynamic models have been developed and are reported in the
literature. Among these, the NRTL model (Non Random Two Liquids) demonstrated a
great ability to predict reliable liquid liquid equilibrium data. However, its main
disadvantage is that it requires molecular interaction parameters that are unavailable
for certain temperatures. For this, the objective of this work is to study the effect of
temperature on binary interaction parameters by approximating them to polynomial
equations, which are then tested for five binary liquid liquid systems.
The agreement between the experimental data and the obtained results proved the
reliability of the NRTL model, the accuracy of the calculated binary interaction
parameters, and the robustness of the genetic algorithm [AG].
