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Classification d'écoulements diphasiques horizontaux utilisant des supports vectoriels avec des signaux de capacitance.

Classification of horizontal two-phase flow using support vector machines with capacitance signals.

Auteurs : CANIÈRE H., BAUWENS B., T'JOEN C., et al.

Résumé

Flow regime prediction in air-conditioning units is of great importance for designing evaporator and condensers coils. Most current heat transfer and pressure drop predictions for two-phase flow lack accuracy mainly due to the ignorance of the effect of the flow regime. Because pressure drop and heat transfer are strongly related to two-phase flow regimes, objective and reliable flow pattern maps are needed as a strong basis. Therefore a capacitance sensor was developed for objective flow pattern identification based on the difference in dielectric constant of the vapour and liquid phase. The sensor was tested for air-water flow. Flow patterns were verified using high-speed digital video images. A multivariate analysis with many signal processing parameters was made for investigating the classification potential. A support vector machine was then built based on suitable parameters in amplitude and time domain, in order to statistically classify two-phase flows. A cross-accuracy of 92% was achieved and misclassification only occurs near flow regime transitions.

Documents disponibles

Format PDF

Pages : ICR07-B1-161

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  • Prix public

    20 €

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    Gratuit

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Détails

  • Titre original : Classification of horizontal two-phase flow using support vector machines with capacitance signals.
  • Identifiant de la fiche : 2008-0077
  • Langues : Anglais
  • Source : ICR 2007. Refrigeration Creates the Future. Proceedings of the 22nd IIR International Congress of Refrigeration.
  • Date d'édition : 21/08/2007

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