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  • Flow pattern observations a...
    Schmid, David; Verlaat, Bart; Petagna, Paolo; Revellin, Rémi; Schiffmann, Jürg

    Experimental thermal and fluid science, 02/2022, Volume: 131
    Journal Article

    A test facility to investigate flow pattern transitions of vertical two-phase flow of CO2 has been built within the scope of the high-luminosity detector upgrades at the European Organization for Nuclear Research (CERN). Adiabatic flow pattern observations for both vertical up- and downflow are recorded with high-speed imaging in tubes of 8 mm inner diameter, with saturation temperatures in the range of −25°C to +5°C and mass velocities ranging from 100kgm−2s−1 to 450kgm−2s−1. A database of 431 flow pattern observations in upward and 123 in downward direction has been compiled. The recorded data have been analysed with machine learning techniques and a previously trained Frame- and Flow-Regime-Classifier is used for the flow regime classification. The observed two-phase flow pattern transitions did not match the transition lines of existing flow pattern maps. As a consequence, new transition lines for the bubbly-to-slug, slug-to-churn and churn-to-annular transitions have been developed for both vertical upflow and downflow respectively and condensed into new flow pattern maps. It is concluded, that the flow regime transitions are strongly depended on vapour quality, mass velocity, the flow direction and the fluid properties. Compared to horizontal flow, a dryout region is not observed and the liquid film of the annular flow regime dries out symmetrically at vapour qualities close to x=1. •Flow pattern visualization of vertical two-phase flow of carbon dioxide (CO2).•Flow pattern observations recorded with a high-speed camera and high-speed imaging.•Flow patterns are analysed with computer vision and machine learning techniques.•Flow regime transitions determined with CNN based Frame and Flow Regime Classifier.•New flow regime transitions and flow pattern map for vertical two-phase flow of CO2.