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arXiv 2102.02857physics.flu-dynphysics.ins-det
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ECT填料塔内流态转变的研究

Flow Regime Transition in Countercurrent Packed Column Monitored by ECT

Zhigang Li, Yuan Chen, Yunjie Yang, Chang Liu, Mathieu Lucquiaud, Jiabin Jia

摘要:

垂直填料塔广泛应用于吸收、汽提和蒸馏过程。垂直填料塔中由于液体的过量积聚会发生液泛现象,降低传质效率,造成较大的压降。压降测量通常用作预测洪水的流体动力学参数。然而,它们仅指示穿过填充柱的流态的转变的发生。他们提供有限的空间信息,传质填料塔操作员和设计师。在这项工作中,一种新的方法,使用电容层析成像(ECT)首次实施,使实时流态监测在不同的垂直位置实现在逆流填料床柱使用ECT。采用两种标准化方法监测直径为200 mm、高度为1200 mm的塑料规整填料塔从预加载到泛液的过渡。柱中的液体分布可以通过重建的ECT图像定性地可视化。洪水指数的实施,以定量地表明当地洪水的进展。在实验中,在不同的气体流量和ECT传感器的位置的局部淹没的程度进行了量化。将ECT图像与压降和目视观察进行比较。实验结果表明,ECT能够监测液体分布,识别流型转变和预测局部淹没。

英文摘要:

Vertical packed columns are widely used in absorption, stripping and distillation processes. Flooding will occur in the vertical packed columns as a result of excessive liquid accumulation, which reduces mass transfer efficiency and causes a large pressure drop. Pressure drop measurements are typically used as the hydrodynamic parameter for predicting flooding. They are, however, only indicative of the occurrence of transition of the flow regime across the packed column. They offer limited spatial information to mass transfer packed column operators and designers. In this work, a new method using Electrical Capacitance Tomography (ECT) is implemented for the first time so that real-time flow regime monitoring at different vertical positions is achieved in a countercurrent packed bed column using ECT. Two normalisation methods are implemented to monitor the transition from pre-loading to flooding in a column of 200 mm diameter, 1200 mm height filled with plastic structured packing. Liquid distribution in the column can be qualitatively visualised via reconstructed ECT images. A flooding index is implemented to quantitatively indicate the progression of local flooding. In experiments, the degree of local flooding is quantified at various gas flow rates and locations of ECT sensor. ECT images were compared with pressure drop and visual observation. The experimental results demonstrate that ECT is capable of monitoring liquid distribution, identifying flow regime transitions and predicting local flooding.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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