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An adaptive model for gas-liquid mass transfer in a Taylor vortex reactor

机译：泰勒涡旋反应器中气液传质的自适应模型

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摘要

Gas-liquid Taylor-Couette flow devices have attracted interest for use as chemical and biological reactors, and consequently the accurate prediction of interphase mass transfer coefficients is crucial for their design and optimization. However, gas-liquid mass transport in these systems depends on many factors such as the local velocity field, turbulent energy dissipation rate, and the spatial distribution and size of bubbles, which in turn have complicated dependencies on process, geometric, and hydrodynamic parameters. Here we overcome these problems by employing a recently developed and validated Eulerian two-phase CFD model to compute local values of the mass transfer coefficient based upon the Higbie theory. This approach requires good estimates for mass transfer exposure times, and these are obtained by using a novel approach that automatically selects the appropriate expression (either the penetration model or eddy cell model) based upon local flow conditions. By comparing the simulation predictions with data from corresponding oxygen mass transfer experiments, it is demonstrated that this adaptive mass transfer model provides an excellent description for both the local and global mass transfer of oxygen in a semibatch gas-liquid Taylor-Couette reactor for a wide range of azimuthal Reynolds numbers and axial gas flow rates.
机译：气液Taylor-Couette流量装置已被用作化学和生物反应器，因此，相间传质系数的准确预测对其设计和优化至关重要。但是，这些系统中的气液传质取决于许多因素，例如局部速度场，湍流能量耗散率以及气泡的空间分布和大小，进而对过程，几何和流体力学参数具有复杂的依赖性。在这里，我们通过使用最近开发和验证的欧拉两相CFD模型克服了这些问题，并基于Higbie理论计算了传质系数的局部值。这种方法需要对传质暴露时间进行良好的估算，这些是通过使用一种新颖的方法来获得的，该方法会根据局部流动条件自动选择合适的表达方式（渗透模型或涡流模型）。通过将模拟预测与相应的氧气传质实验的数据进行比较，证明该自适应传质模型对于半批量气液泰勒-库埃特反应器中广泛的氧气局部和整体传质提供了极好的描述雷诺数方位角范围和轴向气体流速。

著录项

  • 来源
    《International Journal of Heat and Mass Transfer》 |2015年第12期|433-445|共13页
  • 作者

    Xi Gao; Bo Kong; Mahdi Ramezani; Michael G. Olsen; R. Dennis Vigil;

  • 作者单位

    Department of Chemical & Biological Engineering, Iowa State University, Ames, IA 50011, United States;

    Department of Chemical & Biological Engineering, Iowa State University, Ames, IA 50011, United States;

    Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, United States;

    Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, United States;

    Department of Chemical & Biological Engineering, Iowa State University, Ames, IA 50011, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mass transfer; Taylor-Couette flow; Gas-liquid flow; CFD simulation;

    机译：传质;Taylor-Couette流;气液流量;CFD模拟;

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