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Probabilistic determination of two-phase flow regimes utilizing an automated image recognition technique.

Author(s) : JASSIM E. W., NEWELL T. A., CHATO J. C.

Summary

Probabilistic two-phase flow map models are used in the literature to predict pressure drop and void fraction in multi-port microchannels. In the study, probabilistic two-phase flow maps are experimentally developed for R134a at 25, 35, and 50°C, R410A at 25°C, mass fluxes from 100 to 600kg/m2.s, qualities from 0 to 1 in 8, 5.4, 3.9, and 1.7 mm I.D. smooth adiabatic tubes in order to extend the probabilistic two-phase flow map modelling technique to single tubes. A new web camera based flow visualization technique utilizing an illuminated diffuse stripped background was utilized to enhance images, detect fine films, and aid in the automated image recognition process. The developed automated image recognition software determines the flow regime time fraction in approximately 900 images per flow condition (about 1 million images total). The maximum and average error in the automated flow regime time fraction determination is found to be 4 and 0.6% respectively.

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Details

  • Original title: Probabilistic determination of two-phase flow regimes utilizing an automated image recognition technique.
  • Record ID : 2007-1484
  • Languages: English
  • Source: 2006 Purdue Conferences. 18th International Compressor Engineering Conference at Purdue & 11th International Refrigeration and Air-Conditioning Conference at Purdue [CD-ROM].
  • Publication date: 2006/07/17

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