A hybrid optimization approach to interaction parameter identification in thermodynamic model problems
Joint Authors
Source
Journal of New Technology and Materials
Issue
Vol. 9, Issue 1 (30 Jun. 2019), pp.16-21, 6 p.
Publisher
Larbi Ben M'hidi Oum el-Bouaghi University
Publication Date
2019-06-30
Country of Publication
Algeria
No. of Pages
6
Main Subjects
Topics
Abstract EN
The interaction parameter identification problem in thermodynamic models is an important requirement and a common task in many areas of chemical engineering because these models form the basis for synthesis, design, optimization and control of process.
For bad starting values the use gradient based result in local optimal solutions.
To overcome this drawback, a global optimization approach, Simulated Annealing (SA) and genetic algorithm(GA), has been coupled with a Nelder-Mead Simplex(NMS) method.
To improve the accuracy of the interaction parameter estimate.
The experimental ternary LLE data for extraction of 1-propanol from water with n-hexane were considered in the NRTL and UNIQUAC activity coefficient model.
In conclusion, the different obtained results of the prediction of liquid–liquid equilibrium are compared.
These results were obtained to justify that the process of optimization recommended is very practical to estimate the interaction parameters of this ternary system.
American Psychological Association (APA)
Rijab, S.& Merzougui, A.. 2019. A hybrid optimization approach to interaction parameter identification in thermodynamic model problems. Journal of New Technology and Materials،Vol. 9, no. 1, pp.16-21.
https://search.emarefa.net/detail/BIM-939066
Modern Language Association (MLA)
Rijab, S.& Merzougui, A.. A hybrid optimization approach to interaction parameter identification in thermodynamic model problems. Journal of New Technology and Materials Vol. 9, no. 1 (2019), pp.16-21.
https://search.emarefa.net/detail/BIM-939066
American Medical Association (AMA)
Rijab, S.& Merzougui, A.. A hybrid optimization approach to interaction parameter identification in thermodynamic model problems. Journal of New Technology and Materials. 2019. Vol. 9, no. 1, pp.16-21.
https://search.emarefa.net/detail/BIM-939066
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 21
Record ID
BIM-939066