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A New Statistical Parameter for Identifying the Main Transition Velocities in Bubble Columns

机译:用于识别气泡塔中主要转变速度的新统计参数

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摘要

The identification of the main flow regime boundaries in bubble columns is essential since the degrees of mixing and mass and heat transfer vary with the flow regime. In this work, a new statistical parameter was extracted from the time series of the cross-sectional averaged gas holdup. The measurements were performed in bubble columns by means of conductivity wire-mesh sensors at very high sampling frequency. The columns were operated with an air/deionized water system under ambient conditions. As a flow regime indicator, a new dimensionless statistical parameter called “relative maximum number of visits in a region” was introduced. This new parameter is a function of the difference between the maximum numbers of visits in a region, calculated from two different division schemes of the signal range.
机译:气泡塔中主要流动状态边界的识别是必不可少的,因为混合程度以及传质和传热随流动状态而变化。在这项工作中,从截面平均气体滞留量的时间序列中提取了一个新的统计参数。借助于电导率金属丝网传感器在非常高的采样频率下在气泡柱中进行测量。在环境条件下,使用空气/去离子水系统对色谱柱进行操作。作为流态指标,引入了一个新的无量纲统计参数,称为“一个区域的相对最大访问次数”。这个新参数是一个区域中最大访问次数之间的差异的函数,该差异是根据信号范围的两种不同划分方案计算得出的。

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