New methods for phase equilibria and critical point calculations /

Bibliographic Details
Main Author: Elhassan, Ahmed Elzein, 1951-
Other Authors: Hall, K. R. (degree committee member.), Marsh, K. N. (degree committee member.), Wu, C. H. (degree committee member.)
Format: Thesis Book
Language:English
Published: 1991.
Subjects:
Online Access:ProQuest, Abstract
Link to OAKTrust copy
Description
Abstract:Two research topics are covered in this dissertation: phase equilibria calculations and critical point correlations and predictions. In the first part a new method is developed to predict and calculate more effectively and with greater computational speed phase equilibria from equations of state and excess Gibbs models for binary and ternary fluid mixtures. The method minimizes the Gibbs energy by integrating, rather than differentiating, the Gibbs energy curve. The method provides a sufficient condition for Gibbs energy minimization, a condition not available in most of the methods currently applied to fluid phase calculations. It also calculates with more certainty and less ambiguity the compositions and number of existing phases for a given system, especially at conditions near the critical region and around phase boundaries where other classical methods (e.g., the K-value method) usually fail. The second portion of this research presents the power law model which is developed to correlate and predict critical temperatures and pressures of pure substances and binary mixtures of species belonging to the same homologous family. The model accurately predicted the critical temperatures and pressures of pure components that belong to n-alkane and n-alkanol groups. A nice feature in this model is that it uses only three adjustable coefficients per one property. Most of the other predictive models employ four or more coefficients. The model was used as a mixing rule in the Redlich-Kwong equation of state to predict binary mixture critical properties by solving the Gibbs critical conditions. The results predicted by this model were in good agreement with literature data. The duality of predicting pure and mixture critical properties gives this model an advantage over most other models which are confined to either pure or mixture critical property estimation.
Item Description:Typescript (photocopy).
Vita.
"Major subject: Chemical Engineering."
Physical Description:xiii, 169 leaves : illustrations ; 29 cm
Bibliography:Includes bibliographical references.