New gas-liquid two-phase flow pattern maps based on the energy ratio of pressure fluctuation through a Venturi tube

To find effective and practical methods to distinguish gas-liquid two-phase flow patterns, new flow pattern maps are established using the differential pressure through a classical Venturi tube. The differential pressure signal was first decomposed adaptively into a series of intrinsic mode functions (IMFs) by the ensemble empirical mode decomposition. Hilbert marginal spectra of the IMFs showed that the flow patterns are related to the amplitude of the pressure fluctuation. The cross-correlation method was employed to sift the characteristic IMF, and then the energy ratio of the characteristic IMF to the raw signal was proposed to construct flow pattern maps with the volumetric void fraction and with the two-phase Reynolds number, respectively. The identification rates of these two maps are verified to be 91.18% and 92.65%. This approach provides a cost-effective solution to the difficult problem of identifying gas-liquid flow patterns in the industrial field.

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1. We are grateful for the financial support from the National Natural Science Foundation of China (51576213), the Hunan Provincial Natural Science Foundation of China (2017JJ1031), the Changsha Scientific Program (KQ1706066), the Fundamental Research Funds for the Central Universities of Central South University (2018zzts024) and the Open-End Fund for the Valuable and Precision Instruments of Central South University (CSUZC201822).

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2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).