首页> 外文会议>Proceedings of the 11th International Conference on Fluidized Bed Technology >A NEW IMAGE-BASED METHOD TO MEASURE SOLIDS HOLDUP AND CLUSTERS IN A NARROW RECTANGULAR CFB
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A NEW IMAGE-BASED METHOD TO MEASURE SOLIDS HOLDUP AND CLUSTERS IN A NARROW RECTANGULAR CFB

机译:一种基于图像的新方法来测量矩形矩形CFB中的固形物和团簇

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A newly developed method based on a calibration correlating the solids holdup and image grayscale has been developed in the fully developed region in a rectangular Plexiglas CFB riser using a high-speed video camera.FCC particles 67 μm with particle density of 1880 kg/m3 were used as the bed materials.Using this method, the lateral distribution of solids holdup can be obtained.Comparing with that obtained by the optical fiber probe, the similarities verified the feasibility and accuracy of the image-based method.This method was then used to transform the original grayscale image into the binary image, clusters with clear shape and boundary can be visualized.With the area of the cluster calculated by the number of pixels occupied by the cluster image, the cluster equivalent diameter can be determined.Meanwhile, the solids holdup inside the clusters can be obtained by the image arithmetic operation in combination with the calibration equation.
机译:使用高速摄像机在矩形有机玻璃CFB立管的完全展开区域中开发了一种基于校准的方法,该方法将固体含量和图像灰度相关联.FCC颗粒67μm,颗粒密度为1880 kg / m3使用该方法可以得到固持物的横向分布,与光纤探针相比,相似性验证了基于图像的方法的可行性和准确性。将原始灰度图像转换为二值图像,可以看到具有清晰形状和边界的聚类,并根据聚类图像占据的像素数计算聚类的面积,即可确定聚类等效直径。可以通过图像算术运算结合校准方程来获得簇内部的保留率。

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