北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (11): 2249-2258.doi: 10.13700/j.bh.1001-5965.2017.0058

• 流动特性分析 • 上一篇    下一篇

基于双耦合Duffing振子的气液两相流动特性分析

李洪伟, 苏全, 孙斌, 周云龙   

  1. 东北电力大学 能源与动力工程学院, 吉林 132012
  • 收稿日期:2017-02-13 修回日期:2017-04-24 出版日期:2017-11-20 发布日期:2017-06-27
  • 通讯作者: 李洪伟 E-mail:lihongweihw@163.com
  • 作者简介:李洪伟,男,博士,副教授。主要研究方向:多相流参数检测、微小通道两相流传热与流动特性研究;苏全,男,硕士研究生。主要研究方向:微小通道两相流传热与流动特性研究;孙斌,男,博士,教授。主要研究方向:多相流参数检测、纳米流体强化传热;周云龙,男,博士,教授。主要研究方向:流体机械故障诊断、多相流参数检测。
  • 基金资助:
    国家自然科学基金(51406031);吉林省教育厅基金(2015-243);吉林省科技厅基金(20160520032JH,20170101123JC)

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

LI Hongwei, SU Quan, SUN Bin, ZHOU Yunlong   

  1. College of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China
  • Received:2017-02-13 Revised:2017-04-24 Online:2017-11-20 Published:2017-06-27
  • Supported by:
    National Natural Science Foundation of China (51406031); Science Foundation of Jilin Province Education Department (2015-243); Natural Science Foundation of Jilin Province (20160520032JH, 20170101123JC)

摘要: 提出了双耦合Duffing振子仿真系统检测小通道气液两相流型信号的方法。搭建了双耦合Duffing振子仿真系统,针对流型信号的特征确定了3个关键参数:阻尼比、耦合系数和频率,并应用典型混沌信号Lorenz和Rössler对该仿真系统进行了性能检测。在两相流型信号检测时,提取了振子振动的瞬时速度和位移2个特征值,并基于特征值对流型动力学特性及流型辨识进行了深入研究。结果表明:通过对典型混沌系统的检测验证,发现本文检测方法具有较好的抗噪能力,能够较好地表征典型信号的混沌特性。提取的2个特征值能够揭示出小通道气液两相流型转变过程中气液两相间的作用机理。系统的振子振动瞬时速度结合位移实现了小通道气液两相流典型流型的准确识别,有助于其他不同介质的多相流动特性分析与流型辨识。

关键词: 气液两相流, 动力学特性, 双耦合达芬振子, 仿真系统, 流型辨识

Abstract: 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.

Key words: gas-liquid two-phase flow, dynamic characteristics, double coupled Duffing oscillator, simulation system, flow pattern identification

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