Cost-based recurrence analysis of conductance time series for gas–liquid two-phase flow system

Lusheng Zhai, Yuqing Wang, Jie Yang and Yinglin Wu
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Lusheng Zhai: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, P. R. China
Yuqing Wang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, P. R. China
Jie Yang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, P. R. China
Yinglin Wu: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, P. R. China

International Journal of Modern Physics C (IJMPC), 2021, vol. 32, issue 12, 1-17

Abstract: Gas–liquid two-phase flows are frequently encountered in chemical and nuclear industries. The study of gas–liquid flow structures is of great significance for understanding the mechanisms of the flow pattern transition. In this paper, a direct-image multi-electrode conductance sensor (DMCS) was used to detect the structure information of vertical gas–liquid flows. Recurrence plot (RP) and cost-based recurrence plot (CBRP) are validated using typical nonlinear systems, i.e. Lorenz system and Hénon map, and used to analyze the signals collected by the DMCS. The results indicate that the determinism (DET) derived from the CBRP is sensitive to flow pattern evolution, and can also demonstrate the internal differences in the same flow patterns.

Keywords: Gas–liquid two-phase flow; cost-based recurrence analysis; flow pattern transition; flow structure (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0129183121501618

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