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Analyse de la transition de l'écoulement annulaire intermittent de R410a basée sur le groupage des signaux de capacitance.

Intermittent-annular flow transition analysis of R410A based on capacitance signal clustering.

Auteurs : CANIÈRE H., T'JOEN C., PAEPE M. de

Résumé

To study the objectivity in flow pattern mapping of horizontal two-phase flow in macroscale tubes, a capacitance sensor is developed for use with refrigerants. Sensor signals are gathered with R410A in an 8 mm ID smooth tube at a saturation temperature of 15°C in the mass velocity range of 200 to 500 kg/m2.s and vapour quality range from 0 to 1 in steps of 0.025. A visual classification based on high speed camera images is made for comparison reasons. The fuzzy c-means clustering algorithm is used to classify the sensor signals. This soft clustering algorithm perfectly predicts the slug/intermittent flow transition compared to our visual observations. The intermittent/annular flow transition is very gradual. A probability approach can therefore better describe this transition. The membership grades of the cluster algorithm can be interpreted as flow probabilities to quantify this transition.

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Pages : 2009-5

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Détails

  • Titre original : Intermittent-annular flow transition analysis of R410A based on capacitance signal clustering.
  • Identifiant de la fiche : 2009-1929
  • Langues : Anglais
  • Source : 3rd Conference on Thermophysical Properties and Transfer Processes of Refrigerants
  • Date d'édition : 23/06/2009

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