Isobaric vapor−liquid equilibrium (VLE) data for three binary systems of (allyl alcohol + water), (allyl alcohol + methanol), and (allyl alcohol + ethanol) were measured at atmospheric pressure of 101.3 kPa by a modified Rose vapor recirculating type equilibrium still. The thermodynamic consistency test for the experimental data of the three binary systems containing allyl alcohol were checked by Herington method and van Ness test, respectively. Meanwhile, the measured VLE data were correlated by three activity coefficient models of Wilson, nonrandom two-liquid (NRTL), and universal quasichemical (UNIQUAC), for which all of the calculated results showed good consistency. The binary interaction parameters of the models were also regressed. The azeotropic behavior could not be observed in (allyl alcohol + methanol) and (allyl alcohol + ethanol) systems, but for (allyl alcohol + water) system, the azeotropic behavior was found, and it had the minimum azeotropic point.
For separation of the azeotrope of
allyl alcohol and water, three
extractive agentsisobutyl acetate, butyl acetate, and butyl
propionatewere selected to extract allyl alcohol from the
azeotrope. To recover the extractive agents by distillation, the isobaric
vapor–liquid phase equilibrium (VLE) data for allyl alcohol
+ isobutyl acetate, allyl alcohol + butyl acetate, and allyl alcohol
+ butyl propionate were measured at 101.3 kPa. With the VLE data,
there is no azeotrope formed in three systems. The consistency of
the measured VLE data was validated by the Herington, infinite dilution,
pure component consistency, and van Ness tests. Moreover, the Wilson,
UNIQUAC, and NRTL models were used to fit the measured VLE data. All
of the calculated results agreed with the VLE experimental data. Meanwhile,
the parameters of the Wilson, UNIQUAC, and NRTL were regressed, which
can be employed for the development and optimization of the separation
process. Furthermore, the VLE data were predicted by the UNIFAC model
for the three binary mixtures, and better prediction values were presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.