Date of Award

3-10-2021

Publication Type

Master Thesis

Degree Name

M.A.Sc.

Department

Civil and Environmental Engineering

First Advisor

Abdul-Fattah AFA Asfour

Keywords

Effective Carbon Number, Eyring, Kinematic Viscosity, McAllister, Predictive, Pseudo-binary

Rights

info:eu-repo/semantics/embargoedAccess

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 present study reports the mathematical development of a generalized predictive McAllister-type 4-body and 5-body interaction models which are applicable to multi-components systems. The reported models were extended and made predictive on the basis of the earlier work of Asfour and co-workers (1991, 1992, 1998, 2000a, and 2000b). The models were validated using an extensive database available from the literature including all types of multi-component systems with components having different molecular structures at different temperatures. A total of 4226 experimental data points representing binary, ternary, quaternary, and quinary were used in validating the model. The McAllister 4-body and 5-body interaction models gave satisfactory results. The pseudo-binary model (Wu and Asfour, 1992) was used with both the McAllister 4-body and 5-body interaction models. The pseudo-binary model reduces the number of parameters to two parameters regardless of the number of components in a system. The predictive capabilities of the 4-body, 5-body interaction models and the pseudo-McAllister binary models were compared with those of the 3-body generalized interaction model (Nhaesi and Asfour, 2000a) and the GC-UNIMODE model (Cao et al. 1993) with varying degrees of success.

Available for download on Thursday, March 10, 2022

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