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Direct numerical simulation of dispersion and mixing in gas–liquid Dean-Taylor flow with influence of a 90° bend
Chemical Engineering Science ( IF 4.1 ) Pub Date : 2024-09-01 , DOI: 10.1016/j.ces.2024.120691
Otto Mierka , Raphael Münster , Julia Surkamp , Stefan Turek , Norbert Kockmann

Gas-liquid capillary flow finds widespread applications in reaction engineering, owing to its ability to facilitate precise control and efficient mixing. Incorporating compact and regular design with Coiled Flow Inverter (CFI) enhances process efficiency due to improved mixing as well as heat and mass transfer leading to a narrow residence time distribution. The impact of Dean and Taylor flow phenomena on mixing and dispersion within these systems underscores their significance, but is still not yet fully understood. Direct numerical simulation based on finite element method enables full 3D resolution of the flow field and detailed examination of laminar flow profiles, providing valuable insights into flow dynamics. Notably, the deflection of flow velocity from the center axis contributes is followed by tracking of particle with defined starting positions, aiding in flow visualization and dispersion characterization. In this CFD study, the helical flow with the influence of the centrifugal force and pitch (Dean flow) as well as the capillary two-phase flow (Taylor bubble) is described and characterized by particle dispersion and related histograms. Future prospects in this field include advancements in imaging techniques to capture intricate flow patterns, as well as refined particle tracking methods to better understand complex flow behavior.

中文翻译:


气液 Dean-Taylor 流中分散和混合的直接数值模拟,受 90° 弯曲的影响



气液毛细管流因其能够促进精确控制和高效混合而在反应工程中得到广泛应用。将紧凑和规则的设计与盘管流逆变器 (CFI) 相结合,由于改进了混合以及传热和传质,从而提高了工艺效率,从而缩短了停留时间分布。Dean 和 Taylor 流动现象对这些系统内混合和分散的影响强调了它们的重要性,但目前仍未完全理解。基于有限元方法的直接数值模拟可实现流场的全 3D 分辨率和层流剖面的详细检查,从而为流动力学提供有价值的见解。值得注意的是,流速从中心轴的偏转有助于跟踪具有定义起始位置的颗粒,有助于流动可视化和扩散表征。在本 CFD 研究中,描述了受离心力和螺距(Dean 流)以及毛细管两相流(泰勒气泡)影响的螺旋流,并通过颗粒分散和相关直方图进行了表征。该领域的未来前景包括捕捉复杂流动模式的成像技术的进步,以及更好的粒子跟踪方法以更好地了解复杂的流动行为。
更新日期:2024-09-01
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