Date of Award

2012

Publication Type

Doctoral Thesis

Degree Name

Ph.D.

Department

Civil and Environmental Engineering

First Advisor

Abdul-Fattah A. Asfour

Keywords

Applied sciences, Multicomponent liquids, Viscometric properties

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

The densities and viscosities of the following quinary system: Chlorobenzene, p-xylene, octane, ethylbenzene, and 1-hexanol and all its quaternary, ternary and binary subsystems were experimentally measured over the entire composition range at 293.15, 298.15, 308.15, and 313.15 K.

The sets of data obtained were employed, along with other data reported in the literature, to test the predictive capabilities of some of the most widely accepted and used models available from the literature.

The predictive capabilities of the following models were tested: the generalized McAllister three-body interaction model, the pseudo-binary McAllister model, the GC-UNIMOD model, the generalized corresponding states principle (GCSP) model, the Artificial Neural Network (ANN), and the Allan and Teja correlation.

The models testing results show that the generalized McAllister three-body interaction model gave the best predictive capability for the regular mixtures under investigation.

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