Abstract
A deep analysis on the hydrodynamics of convergent–divergent nozzles is performed by changing the working conditions and fluid type. The nozzle geometry lowers the temperature of the flowing fluid, which contributes to condensation and phase change. The focus of this paper is to evaluate the nozzle performance and cooling capacity in terms of temperature, pressure, and gas type in a fixed geometry of Sajben Laval nozzle. The analysis has been conducted via a 2-dimensional turbulent computational fluid dynamics simulation for illustrating the behavior of the fluid. A criterion for the nozzle performance is provided by prediction of exact shock wave position. An investigation on 6 different gas types demonstrates that heat capacity and thermal conductivity are the most rolling fluid properties of the nozzle performance. Furthermore, it is found that the shock wave position is unchanged during alteration of fluid type or pressure scale. A new model is provided for prediction of convergent–divergent nozzle performance in the supersonic conditions for dehydration of natural gas as a well-known industrial application of the nozzles. The model is developed by the genetic algorithm as a multivariable optimization method.
Original language | English |
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Article number | e2181 |
Journal | Asia-Pacific Journal of Chemical Engineering |
Volume | 13 |
Issue number | 2 |
Early online date | 21 Feb 2018 |
DOIs | |
Publication status | Published - 1 Mar 2018 |
Bibliographical note
Publisher Copyright:© 2018 Curtin University and John Wiley & Sons, Ltd.
Keywords
- CFD simulation
- dehydration
- multiphase compressible flow
- shock wave monitoring
- supersonic nozzle
ASJC Scopus subject areas
- Chemical Engineering(all)
- Renewable Energy, Sustainability and the Environment
- Waste Management and Disposal