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Feasibility of extractive distillation in a batch rectifier
Author(s) -
Lelkes Z.,
Lang P.,
Benadda B.,
Moszkowicz P.
Publication year - 1998
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690440406
Subject(s) - batch distillation , extractive distillation , distillation , fractional distillation , process engineering , rectifier (neural networks) , chromatography , limiting , chemistry , extraction (chemistry) , volumetric flow rate , process (computing) , computer science , thermodynamics , engineering , mechanical engineering , stochastic neural network , machine learning , recurrent neural network , artificial neural network , operating system , physics
A simple method was developed to study the feasibility of extractive distillation in a batch rectifier. By calculating feasible profiles of different column sections and figuring them in the triangular diagram, the feasibility and limiting values of the most important operational parameters (number of stages, flow rate of entrainer, and reflux ratio) were determined for different steps of the batch extractive distillation. The unusual behavior of extractive distillation was also investigated for this process. An infeasible region can be assigned to the given values of parameters; if the still composition is located within this region, the specified separation cannot be attained. By locating this infeasible region, maximum recoveries attainable in a batch rectifier and in a middle vessel column were compared. The results obtained by this method were verified by pilot‐plant expenments for the mixture acetone + methanol water.