Abstract
In this work, both global and local flow regimes in two-phase downward flow in a 50.8mm internal diameter pipe in adiabatic conditions have been identified. The bubble chord length distributions measured simultaneously with three double-sensor conductivity probes have been used along with a self-organized neural network for classification. The flow regime identification results show a reasonable agreement with published models. However, only the local flow regimes measured in the center of the pipe agree with the global ones. The local flow regimes combinations found, corresponding to eight different global flow regime configurations, are analyzed and compared with the combinations obtained for upward flow in a previous work.
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