>
Fa   |   Ar   |   En
   machine learning approaches for prediction of phase equilibria in poly (ethylene glycol) + sodium phosphate aqueous two-phase systems  
   
نویسنده pirdashti mohsen ,taheri mojtaba ,dragoi niculina ,curteanu silvia
منبع iranian journal of chemistry and chemical engineering - 2020 - دوره : 39 - شماره : 6 - صفحه:185 -197
چکیده    In this research, liquid-liquid equilibrium (lle) data were experimentally obtained for the ternary systems of (water + carboxylic acid + dipropyl ether) at t = 298.2 k and p = 101.3 kpa. the carboxylic acids used in this study were isobutyric acid, valeric acid and isovaleric acid. all these systems are according to treybal classification, type-2 systems because the two binary subsystems are partially miscible. the lowest distribution coefficients and separation factors were calculated for isobutyric acid (40 and 329, respectively). the authenticity of the experimental equilibrium data was identified from hand and othmer-tobias correlations. the experimental tie line data were correlated by using the nonrandom two-liquid (nrtl) and universal quasi-chemical (uniquac) activity coefficient models. rmsd values are between 0.0112 and 0.0155 for nrtl model; and are between 0.0083 and 0.0153 for uniquac model.
کلیدواژه liquid-liquid equilibrium; carboxylic acid; dipropyl ether; nrtl; uniquac
آدرس shomal university, faculty of engineering, chemical engineering department, iran, shomal university, faculty of engineering, chemical engineering department, iran, gh. asachi technical university, faculty of chemical engineering and environmental protection cristofor simionescu, romania, gh. asachi technical university, faculty of chemical engineering and environmental protection cristofor simionescu, romania
پست الکترونیکی silvia_curteanu@yahoo.com
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved