Document IIF

Prévision et optimisation des propriétés géométriques du lit d'un cycle frigorifique magnétique à régénération.

Prediction and optimisation of geometrical properties of the refrigerant bed in an AMRR cycle.

Auteurs : BOUCHEKARA H., KEDOUS-LEBOUC A., DUPUIS C., et al.

Type d'article : Article, Article de la RIF

Résumé

Active magnetic regenerative refrigeration (AMRR) cycle is nowadays investigated in magnetic refrigeration prototypes in order to increase the temperature span between the hot source and the cold one. The AMRR model can give the magneto-thermal behaviour of the regenerative refrigerant bed and the system cooling power considering the geometrical and the physical properties of the fluid and the material. In this paper, an inverse approach is considered. Starting from the system performance required (cooling power, temperature profile, etc.); the authors go up by optimisation processes to the dimensions of the system. Let's consider for example, a desired temperature profile. These curves are called the characteristics of the system. The dimensions of the system can be found out by using temperature characteristics for different geometrical configurations of the bed. In addition, the optimisation can be performed under external constraints, i.e. limited variation band of the parameters. When obtained, the results can be used to optimise the whole shape of the system.

Documents disponibles

Format PDF

Pages : 1224-1230

Disponible

  • Prix public

    20 €

  • Prix membre*

    Gratuit

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Prediction and optimisation of geometrical properties of the refrigerant bed in an AMRR cycle.
  • Identifiant de la fiche : 2008-2528
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 31 - n. 7
  • Date d'édition : 11/2008

Liens


Voir d'autres articles du même numéro (18)
Voir la source