Treatment of binary Vapour-Liquid equilibrium data

S. Kemény, J. Manczinger

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The results obtained by minimizing the sum of squares of different functions of measured variables x, t, y, P; with and without weighting are compared. The unweighted regression leads to different values of estimated parameters according to the type of minimization criterion. It is shown that the weighted regression of x, t, y data gives rise to the same values of estimated parameters not depending on the type of minimization criterion. This is also true for x, t, P data. It is shown that the simultaneous correlation of x, t, y, P data is erroneous but this statement is valid only for "classical" treatment. A very simple method is proposed based on the concept of "multiresponse model" for treatment of all (x, t, y, P) data together.

Original languageEnglish
Pages (from-to)71-76
Number of pages6
JournalChemical Engineering Science
Volume33
Issue number1
DOIs
Publication statusPublished - 1978

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Treatment of binary Vapour-Liquid equilibrium data'. Together they form a unique fingerprint.

  • Cite this