Abstract

The churn-to-slug flow bifurcations of two-phase (air-water) flow patterns in a 2mm diameter minichannel were investigated. With increasing a water flow rate, we observed the transition of slugs to bubbles of different sizes. The process was recorded by a digital camera. The sequences of light transmission time series were recorded by a laser-phototransistor sensor, and then analyzed using the recurrence plots and recurrence quantification analysis (RQA). Due to volume dependence of bubbles velocities, we observed the formation of periodic modulations in the laser signal.

Highlights

  • Two-phase flow in a minichannel is a complex phenomenon which depends on the physical properties of given phases as: density, viscosity, surface tension as well as the channel geometry

  • The spatial and temporal phase distribution inside the minichannel can be used for identification of different two-phase flow patterns in the minichannel

  • For the identification of this transition we propose to use the Recurrence Plots (RP) and Recurrence Quantification Analysis (RQA)

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Summary

Introduction

Two-phase flow in a minichannel is a complex phenomenon which depends on the physical properties of given phases as: density, viscosity, surface tension as well as the channel geometry. A high liquid velocity causes a turbulent flow of the liquid around the bubbles and slugs They disperse into small bubbles forming the churn flows. Due to the high complexity of these phenomena non-periodic (chaotic) flows usually occur As these flows are difficult to control, possible applications of the microchannel flow systems are significantly reduced. To identify such flows, one has to apply the non-linear analysis, which enables identification of flow patterns. Wang et al [5] showed that the non-linear analysis allows us to identify flow patterns in a oil-gas-water mixture. Wang et al [7] used the non-linear analysis of the pressure fluctuations to identify the flow patterns of air in water.

Experimental setup and the measurment procedure
Recurrence analysis
Conclusions

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