Books on Demand Separation of a highly nonideal mixture for solvent recovery

Diplomarbeit, die am 01.04.2001 erfolgreich an einer Technische Universität in Österreich eingereicht wurde. Abstract: The separation of complex nonideal mixtures is a common problem in the process industries. The solvent recovery is an important task for chemical engineers to minimize burden upon the environment due to exhaustive use of solvents. The recovery of the individual components is complicated by the highly nonideal features of these mixtures. The separation of such highly nonideal mixtures can be limited by the presence of azeotropes, which can create distillation boundaries. These distillation boundaries are forming distillation regions which are difficult to overcome with the standard rectification. Distillation systems for these highly nonideal azeotropic mixtures are particularly difficult to design and to operate in an efficient way. In printing companies often four component mixtures of ethanol, ethyl acetate, isopropyl acetate, and water arise as waste. A separation scheme of multicomponent azeotropic distillation is developed and successfully used for a highly nonideal quaternary mixture. The composition of the mixture in mass percent is ethanol 30%, water 20%, ethyl acetate 25% and isopropyl acetate with 20%. The rest of the mixture (5%) consists of n-propane, isopropane, cyclohexane, and etoxypropane. For the further investigation just the quaternary mixture is examined. Generally, every component should be recovered as pure as possible from the mixture. In the mixture namely five binary and two ternary azeotropes are formed by the components. Based on the synthesis procedure proposed by Rev et al. and Mizsey et al. a new separation technology is developed followed up the vapor-liquid-liquid equilibrium behavior of the mixture. They have recommended a general framework for designing feasible schemes of multicomponent azeotropic distillation. This procedure recommends to study in detail the vapor-liquid-liquid equilibrium data to expl...