Partager

Document IIF

Approche par réseau neuronal artificiel pour l’analyse de la performance et de l’irréversibilité d’un réfrigérateur domestique en utilisant du GPL avec du lubrifiant TiO2 comme substitut au R134a.

Artificial neural network approach for irreversibility performance analysis of domestic refrigerator by utilizing LPG with TiO2–lubricant as replacement of R134a.

Auteurs : GILL J., SINGH J., OHUNAKIN O. S., et al.

Type d'article : Article, Article de la RIF

Résumé

This paper experimentally investigated irreversibility performance analysis of domestic refrigerator using 40?g, 50?g, 60?g and 70?g of LPG refrigerant with varying concentration of TiO2 nanoparticles dispersed in a mineral oil lubricant as replacement of R134a. The irreversibility performance analysis of the domestic refrigerator investigated with test parameters including irreversibility in the components, total irreversibility, and second law efficiency. Findings showed that under similar operating conditions irreversibilities in condenser, capillary tube, evaporator and compressor of the domestic refrigerator using LPG refrigerant with lubricant TiO2–mineral oil found lower than R134a by 6.05–48.10%, 17.83–46.98%, 2.51–33.17% and 2.21–23.29% respectively. Additionally, total irreversibility and second law efficiency in the domestic refrigerator using LPG refrigerant with TiO2, nanoparticles dispersed in a mineral oil lubricant found lower and higher than R134a by around 0.65–35.97% and 6.23–54.74% respectively. All in all 0.4 g L-1 of TiO2 and 40?g of LPG charge were the attained optimal values of nanoparticle concentration and LPG charge respectively in the domestic refrigerator utilizing LPG as replacement of R134a. Artificial Neural Networks (ANN) approach to delineate total irreversibility and second law efficiency of the domestic refrigerator was additionally applied to develop the models. It found that ANN models predictions concurred well with experimental results and brought out an absolute fraction of variance of (0.989–0.990), root mean square error of (0.831–1.061) and mean absolute percentage error of (1.734–2.056%) respectively with experimental results.

Documents disponibles

Format PDF

Pages : 159-176

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 : Artificial neural network approach for irreversibility performance analysis of domestic refrigerator by utilizing LPG with TiO2–lubricant as replacement of R134a.
  • Identifiant de la fiche : 30023845
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 89
  • Date d'édition : 05/2018
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2018.02.025

Liens


Voir d'autres articles du même numéro (16)
Voir la source

Indexation