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In this study, enrichment in major component of spearmint oil has been   studied by continuous multicomponent distillation. A mathematical model was   evaluated to predict the enrichment by multicomponent distillation of   spearmint oil. The aim of the work was to obtain simulation data to compare   with experimental data of spearmint oil enriching. The simulation model is   based on bubble point method ,the Wang-Henke algorithm and predictive   Soave-Redlich-Kwong (PSRK) equation. In this method, MESH equations are   solved and a diagonal matrix method for solving equations is used. The model   was validated by experimental data obtained from a pilot-plant system, where   a continuous distillation column with trays of one to five numbers has been   used. The simulation was able to predict satisfactory the experimental data.   The results of simulation and experiments show that the major component of   spearmint essential oil is enriched from 31% to 62.04% by the distillation   column with five trays. The results show that the addition of a tray to the   distillation column with a low number of trays, have more effective relative   to add a tray to the distillation column with higher trays. The results   indicate that increasing of reflux ratio from 2 to 3 increases separation of   the major component from 62.04% to 67.04%

chemical industry and chemical engineering quarterly

Simulation of the multicomponent distillation of spearmint essential oil by a predictive Soave-Redlich-Kwong equation of state and comparison with experiments