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An alternative method to quantify solids phase separation in a narrow rectangular CFB riser

机译:一种替代方法,用于在窄矩形CFB提升板中量化固体相分离的方法

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In this study, a newly developed image calibration method is applied to "visualize" gas-solid flow under different operating conditions in a 19 mm x 114 mm narrow rectangular riser through a high-speed video camera. For the first time, a one-to-one correspondence between image grayscale and solids holdup of the bed material is achieved in a specially designed calibration column. By transforming the original images into Hue, Saturation and Value (HSV) images, the solids holdup distribution under a certain operating condition can be clearly visualized. With the calibration equation between the image grayscale and the solids holdup, grayscale images can be transformed into binary images with different solids holdup thresholds, through which solids phase with different solids holdup can be "peeled off'. The change of the dense phase is expressed by the term "relative dense phase area". By carefully examining the variation profiles of the relative dense phase area with solids holdup thresholds, a critical solids holdup value of ε_5 = 0.04 is chosen to demarcate the dilute and dense cluster phases. With images divided into three regions along the lateral direction, it is found that cluster fraction at the wall region is higher than those of the core and the middle regions. The cluster fraction is also found to increase with the mean solids holdup value.
机译:在该研究中,通过高速摄像机将新开发的图像校准方法应用于在19mm×114mm窄的矩形立管的不同操作条件下“可视化”气体固体流动。首次,在特殊设计的校准柱中实现了图像灰度和固体保持之间的一对一对应关系。通过将原始图像转换为色调,饱和度和值(HSV)图像,可以清楚地可视化在某个操作条件下的固体保持分布。利用图像灰度和固体保持之间的校准方程,可以通过不同的固体保持阈值转换为二进制图像的灰度图像,通过其具有不同固体保持的固相可以“剥离”。表达了密集相的变化通过术语“相对致密相位区域”。通过仔细检查具有固体保持阈值的相对致密相面积的变化轮廓,选择ε_5= 0.04的临界固体保持值以划分稀释和致密的簇相。用图像分开沿着横向进入三个区域,发现壁区域处的簇馏分高于核心和中间区域。也发现簇分数与平均固体保持值增加。

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