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Density prediction of multicomponent aqueous solutions from binary data
Author(s) -
Teng TjoonTow,
Lenzi Fabio
Publication year - 1975
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450530614
Subject(s) - ternary operation , binary number , aqueous solution , relation (database) , thermodynamics , binary data , statistical physics , mathematics , chemistry , computer science , physics , data mining , arithmetic , programming language
An isopycnotic (equal density) relation has been developed for non‐interacting solutes in multicomponent aqueous solutions. The relation can be used to estimate ternary densities from binary data. Predicted and observed values for 26 systems at 25°C are compared, usoing Young's rule, the isopycnotic, and other methods. Young's rule and the isopycnotic methods give relatively better predictions (<0.2% error) even when applied to concentrated solutions.