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Two-phase flow pattern transition behaviors on experimental established ordinal pattern networks.

Meng Du1, Zhenqian Zhang1, Yang Cao1

  • 1College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China.

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Summary
This summary is machine-generated.

This study analyzes gas-liquid two-phase flow patterns using complex network topology. Network decay rates and persistence reveal flow pattern transitions, offering a novel analysis method.

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Area of Science:

  • Fluid Dynamics
  • Complex Systems Analysis
  • Network Science

Background:

  • Modeling two-phase flow pattern transitions is crucial but challenging.
  • Existing methods may not fully capture the complex dynamics of flow pattern changes.

Purpose of the Study:

  • To investigate gas-liquid two-phase flow pattern transition dynamics.
  • To analyze the topology structures of complex networks representing flow patterns.
  • To identify novel metrics for detecting flow pattern transitions.

Main Methods:

  • Conducting gas-liquid two-phase flow experiments in a vertical pipe.
  • Establishing ordinal pattern complex networks from flow fluctuation signals.
  • Applying K-core decomposition and network homology persistence analysis.

Main Results:

  • The decay rate of K-core size is sensitive to flow conditions and indicates transitions.
  • Network homology persistence (maximum persistence, persistence entropy) reflects oscillatory behaviors.
  • Established complex networks effectively represent different flow patterns.

Conclusions:

  • K-core decomposition decay rate is a potential metric for flow pattern transition identification.
  • Network persistence analysis aids in understanding oscillatory behaviors during transitions.
  • This network-based approach offers a novel method for analyzing two-phase flow systems.