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Prévisions numériques des caractéristiques de l'ébullition en écoulement : état actuel, configuration du modèle et modélisation de la mécanique numérique des fluides (DNF) pour différents profils de chauffage non uniformes.

Numerical predictions of flow boiling characteristics: Current status, model setup and CFD modeling for different non-uniform heating profiles.

Auteurs : NEMITALLAH M. A., HABIB M. A., BEN-MANSOUR R., et al.

Type d'article : Article

Résumé

A detailed analysis of two-phase flow boiling characteristics inside high pressure systems is presented focusing on non-uniform axial heating profiles. For this purpose, a detailed numerical model has been developed after presenting the current status of the use of CFD techniques in flow boiling predictions. User defined functions written in C++ were compiled and hooked to the software in order to account for mass interaction between phases using the Eulerian multiphase flow model. The modeled domain is a 2 m long stainless steel pipe with inside and outside diameters of 15.4 mm, 25.4 mm, respectively. The base imposed uniform heat flux was 345.6 kW/m2, for mass flow rate of water of 0.161 kg/s and at a temperature of 200°C. The model was validated against range of experimental data and the results are very promising for the use of CFD in flow boiling characterization. Effects of increasing uniform heat flux were considered for different increments of 30, 50 and 75% as reference to the basic applied heat flux. The influences of heat flux profile in the axial direction were investigated while maintaining the same total power. Different heat flux profiles of linearly increasing, linearly decreasing, sine, and cosine shapes were considered.

Détails

  • Titre original : Numerical predictions of flow boiling characteristics: Current status, model setup and CFD modeling for different non-uniform heating profiles.
  • Identifiant de la fiche : 30015173
  • Langues : Anglais
  • Source : Applied Thermal Engineering - vol. 75
  • Date d'édition : 22/01/2015
  • DOI : http://dx.doi.org/10.1016/j.applthermaleng.2014.09.036

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