A study on chaotic characteristics and short-term prediction of pressure difference fluctuation signal of gas-liquid two-phase flow in small channel

PAN Hui; LI Haiguang; WU Xuan

doi:10.11729/syltlx20190077

Volume 34 Issue 4

Aug. 2020

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Article Navigation > Journal of Experiments in Fluid Mechanics > 2020 > 34(4): 102-108

PAN Hui, LI Haiguang, WU Xuan. A study on chaotic characteristics and short-term prediction of pressure difference fluctuation signal of gas-liquid two-phase flow in small channel[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(4): 102-108. doi: 10.11729/syltlx20190077

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A study on chaotic characteristics and short-term prediction of pressure difference fluctuation signal of gas-liquid two-phase flow in small channel

doi: 10.11729/syltlx20190077

School of Energy and Environment, Inner Mongolia University of Science & Technology, Baotou Neimenggu 014000, China

Received Date: 2019-06-10
Rev Recd Date: 2019-08-21
Publish Date: 2020-08-25

Abstract

Abstract

Experimental research on the pressure difference fluctuation signal was conducted in the channel of a horizontal circular pipe with a diameter of 3.0 mm, using air and water as the working medium. According to the pressure difference fluctuation signal diagram and the flow pattern diagram taken by the high-speed camera, the chaotic dynamic analysis of the pressure difference fluctuation signal was carried out by using the phase space reconstruction and Lyapunov index discrimination methods. Then the Volterra adaptive short-term prediction of the pressure difference fluctuation signal was carried out. The experimental results show that the attractor diagram obtained by the chaos analysis can show the flow characteristics more accurately. The Volterra adaptive prediction model has the relative errors of 1.86%, 0.71%, 3.90% and 2.49% for the prediction of the pressure difference time series of the annular flow, the layered flow, the intermittent flow and the slug flow respectively, which can effectively make short-term prediction of pressure difference time series of the gas-liquid two-phase flow in the pipeline.
- gas-liquid two-phase flow,
- differential pressure fluctuation signal,
- chaos analysis,
- Volterra adaptive short-term prediction

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References(29)

References

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