Volume 43 Issue 11
Nov.  2017
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Article Contents
LI Hongwei, SU Quan, SUN Bin, et al. Analysis of gas-liquid two-phase flow characteristics based on double coupled Duffing oscillator[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2249-2258. doi: 10.13700/j.bh.1001-5965.2017.0058(in Chinese)
Citation: LI Hongwei, SU Quan, SUN Bin, et al. Analysis of gas-liquid two-phase flow characteristics based on double coupled Duffing oscillator[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2249-2258. doi: 10.13700/j.bh.1001-5965.2017.0058(in Chinese)

Analysis of gas-liquid two-phase flow characteristics based on double coupled Duffing oscillator

doi: 10.13700/j.bh.1001-5965.2017.0058
Funds:

National Natural Science Foundation of China 51406031

Science Foundation of Jilin Province Education Department 2015-243

Natural Science Foundation of Jilin Province 20160520032JH

Natural Science Foundation of Jilin Province 20170101123JC

More Information
  • Corresponding author: LI Hongwei, E-mail:lihongweihw@163.com
  • Received Date: 13 Feb 2017
  • Accepted Date: 24 Apr 2017
  • Publish Date: 20 Nov 2017
  • The double coupled Duffing oscillator simulation system is put forward as a method for detecting the signal of gas-liquid two-phase flow patterns in small channel. The double coupled Duffing oscillator simulation and detection system is constructed, which is used to analyze the signal characteristics of flow patterns by the three key parameters:damping rate, coupling coefficient and frequency. The performance of the simulation system is tested by the typical chaotic signal of Lorenz and Rössler. When two-phase flow signal is detected, the eigenvalues are extracted including the instantaneous oscillator velocity and oscillator displacement, and based on the eigenvalues, the further study on flow pattern dynamic characteristics and flow pattern identification was done. The results show that this analysis method has better noise immunity and represents typical chaotic characteristics well through the verification of typical chaotic signals. The two extracted eigenvalues can reveal the mechanism of gas-liquid two-phase flow pattern transition process in small channel. Combining the instantaneous oscillation velocity of oscillator with the oscillator displacement can identify the nitrogen-water two-phase flow pattern in small channel accurately, which will contribute to the characteristic analysis and flow pattern identification of other multi-phase flow of different media.

     

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