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Prediction of Mixture Properties Using UNIFAC

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Physical Property Prediction in Organic Chemistry

Abstract

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.

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© 1988 Springer-Verlag Berlin Heidelberg

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Gmehling, J. (1988). Prediction of Mixture Properties Using UNIFAC. In: Jochum, C., Hicks, M.G., Sunkel, J. (eds) Physical Property Prediction in Organic Chemistry. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74140-1_24

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  • DOI: https://doi.org/10.1007/978-3-642-74140-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74142-5

  • Online ISBN: 978-3-642-74140-1

  • eBook Packages: Springer Book Archive

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