Abstract

In the paper, numerical methods of data analysis recurrence quantification analysis (RQA) and self-organizing map (SOM) have been used to analyse pressure drop oscillations during the flow boiling in minichannel. The performed analysis allows us to identify flow patterns based on the character of the pressure drop oscillations. The following two-phase flow patterns have been identified: liquid flow, liquid flow with small vapour bubble, slug flow, long slug flow and confined bubble flow. In the experiment, the open-loop boiling system in a circular horizontal minichannel with an inner diameter of 1 mm was investigated. The two-phase flow patterns at the outlet of the heated section were observed through the glass tube (with an inner diameter of 1 mm) and recorded by a high-speed camera Phantom v1610.

Highlights

  • The two-phase flow in small, mini and micro hydraulic diameter channels is attracting increasing attention because of the ability to dissipate high heat fluxes

  • The input vector, X, for self-organizing map (SOM) consists of 4 recurrence quantification analysis (RQA) coefficients, which the row number corresponds to the duration of the pressure drop

  • The results were compared with the pressure drop oscillations

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Summary

Introduction

The two-phase flow in small, mini and micro hydraulic diameter channels is attracting increasing attention because of the ability to dissipate high heat fluxes.

Experimental setup
Nonlinear data analysis
Kohonen self-organizing neural networks
Results and discussions
Conclusion

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