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Analysis of the nonlinear dynamic characteristics of two-phase flow based on an improved matrix pencil method☆

机译:基于改进矩阵铅笔法的两相流非线性动力学特性分析☆

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摘要

Gas–liquid two-phase flow is complex and has uncertainty in phase interfaces, which make the two-phase flow look very complicated. Even though the flow behavior (e.g. coalescence, crushing and separation) of single bubble or bubble groups in the liquid phase looks random, combining some established character-istics and methodologies can find regularities among the randomness. In order to excavate the nonlinear dynamic characteristics of gas–liquid two-phase flow, the authors developed an improved matrix pencil (IMP) method to analyze the pressure difference signals of the two-phase flow. This paper elucidates the influence of signal length on MP calculation results and the anti-noise-interference ability of the MP method. An IMP algorithm was applied to the fluctuation signals of gas–liquid two-phase flow to extract the mode frequency and damping ratio, which were combined with the component energy index (CEI) en-tropy to identify the different flow patterns. It is also found that frequency, damping ratio, CEI entropy and stability diagram together not only identify flow patterns, but also provide a new way to examine and un-derstand the evolution mechanism of physical dynamics embedded in flow patterns. Combining these characteristics and methods, the evolution of the nonlinear dynamic physical behavior of gas bubbles is revealed.
机译:气液两相流是复杂的,并且在相界面上具有不确定性,这使得两相流看起来非常复杂。即使单个气泡或液相中气泡组的流动行为(例如聚结,破碎和分离)看起来是随机的,但结合一些已建立的特征理论和方法仍可以发现随机性之间的规律性。为了挖掘气液两相流的非线性动力学特性,作者开发了一种改进的矩阵笔(IMP)方法来分析两相流的压差信号。阐明了信号长度对MP计算结果的影响以及MP方法的抗噪声干扰能力。将IMP算法应用于气液两相流的波动信号,以提取模态频率和阻尼比,并与成分能量指数(CEI)熵相结合以识别不同的流型。研究还发现,频率,阻尼比,CEI熵和稳定性图不仅可以识别出流型,而且为检验和理解流型中嵌入的物理动力学的演化机理提供了新的途径。结合这些特征和方法,揭示了气泡非线性动态物理行为的演变。

著录项

  • 来源
    《中国化学工程学报(英文版)》 |2016年第6期|737-748|共12页
  • 作者单位

    School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China;

    School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China;

    School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China;

    School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:47:47
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