Vapor pressure of Dipropylene Glycol Methyl Ether and vapor-liquid equilibria of its aqueous mixture: Experimental measurements by the Static Method and Modeling development
Résumé
Nowadays, the organic solvents are very widely spread in chemical and process engineering. In every industry the solvent choice is essential: many criteria should be considered in order to respect all the international rules and regulations. Therefore, not only the solvent power and volatility criteria, but the effect on the human body, the carcinogenicity as well as the environment and atmosphere impact, make a significant influence on solvent choice. The Dipropylene glycol methyl ether (DPM) is used in paint and ink industries, wood stains, textile processes, dry cleaning soaps and cleaning compounds. This solvent, having a great degreasing and dissolving power, respects the modern international regulations in terms of toxicity, biodegradability, ozone layer protection etc... The problem, however, is a huge lack of the experimental thermophysical and thermodynamic data for this compound. For example, some properties such as the normal boiling temperature, molar mass and density could be found in respective technical sheets provided by the solvent suppliers, but data concerning its vapor-liquid equilibria (VLE) have not yet been published, although these data are necessary for the solvent treatment process design (such a distillation).
This work represents a first path towards the construction of the database of DPM vapor pressure and VLE of its aqueous mixtures . We have studied the pure compound vapor pressures as well as the isothermal VLE for water and DPM binary mixture for temperatures ranging from 283.15 to 363.15 K. The measurements were carried out using the static method. The dew pressure curves were then calculated using well-known VLE semi-empirical models such as Wilson, Van Laar, NRTL Original, UNIQUAC. In the frame of this study, we have also investigated the ability to predict this VLE by the EoS-g E approach using the NRTL-PR model.