The present work tries to tackle the CFD simulation of condensation inside a De Laval nozzle. The intended application is the numerical modelling of supersonic ejectors working with different fluids: R718 (water) and R134a (Freon). Both these refrigerants are “wet” fluid and their expansion inside supersonic nozzles can lead to non-equilibrium condensation that alter the pressure and Mach profiles and induce thermodynamic losses. The numerical analysis of these phenomena requires modelling the microscopic behaviour of the fluid whose properties must be reproduced with a high level of fidelity. In part I of this work, the accuracy of the wet steam model build in a commercial CFD software is evaluated by comparison with an experimental test case. In part II of the work, the same model is adapted to reproduce the properties of Freon.

CFD Modeling of High-Speed Condensation in Supersonic Nozzles, Part I: Steam / giacomelli francesco, mazzelli federico, milazzo adriano. - ELETTRONICO. - (2016), pp. 344-347. (Intervento presentato al convegno 4th International Conference on Computational Methods for Thermal Problems tenutosi a Georgia Institute of Technology, Atlanta, GA, USA nel July 6-8, 2016).

CFD Modeling of High-Speed Condensation in Supersonic Nozzles, Part I: Steam

giacomelli francesco;mazzelli federico
;
milazzo adriano
2016

Abstract

The present work tries to tackle the CFD simulation of condensation inside a De Laval nozzle. The intended application is the numerical modelling of supersonic ejectors working with different fluids: R718 (water) and R134a (Freon). Both these refrigerants are “wet” fluid and their expansion inside supersonic nozzles can lead to non-equilibrium condensation that alter the pressure and Mach profiles and induce thermodynamic losses. The numerical analysis of these phenomena requires modelling the microscopic behaviour of the fluid whose properties must be reproduced with a high level of fidelity. In part I of this work, the accuracy of the wet steam model build in a commercial CFD software is evaluated by comparison with an experimental test case. In part II of the work, the same model is adapted to reproduce the properties of Freon.
2016
4th International Conference on Computational Methods for Thermal Problems
4th International Conference on Computational Methods for Thermal Problems
Georgia Institute of Technology, Atlanta, GA, USA
July 6-8, 2016
giacomelli francesco, mazzelli federico, milazzo adriano
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1122161
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