Prediction of Mixture Properties Using UNIFAC

  • Jürgen Gmehling
Conference paper


In the last 20 years great progress has been achieved in the calculation and prediction of the real behavior of multicomponent systems using gE-models or EOS and binary information alone.

When the required binary data are missing, the group contribution method UNIFAC can be applied to complete the available experimental information; however, this method also shows some weaknesses.

In this paper results for the UNIFAC method will be presented together with the improvements which are obtained when a modified form of the UNIFAC method and a larger data base are used.


Infinite Dilution Extractive Distillation Combinatorial Part UNIFAC Model Azeotropic Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Jürgen Gmehling
    • 1
  1. 1.Lehrstuhl für Technische Chemie B, Fachbereich ChemietechnikUniversität DortmundDortmundFederal Republic of Germany

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