An improved image procession algorithm for bubble flow characteristics in gas–liquid reactor

Li, Xiangli; Li, Guohui

doi:10.1002/apj.2308

Cited by 3 publications

(1 citation statement)

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“…It is difficult to deal with bubbles with traditional edge detection methods and region segmentation. 32,33 As shown in Figure 4, this article uses the particle reflections on the bubble surface to determine the initial bubble center, and then symmetrically transforms the region where the clusters are more obvious in the reflections according to the initial bubble center, so that the bubble surface restores virtual reflections, using the restored bubble image to correct the coordinates of the bubble center and enlarging the construction circle radius gradually to restore the bubble.…”

Section: Bubble Location and Reconstruction Methodsmentioning

confidence: 99%

Method to concurrently measure local gas and solid holdups visually with higher precision in circulating fluidized bed

Zhang

et al. 2021

AIChE Journal

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Simultaneous and visual measurements of local gas and solid phase holdups with high-precision in a gas-liquid-solid circulating fluidized bed is of great importance for the design and scale-up of such a reactor. However, such measuring techniques are still limited due to the difficulty of discrete phase identification of gas bubble and solid particle phases in the complex three-phase flow. Immersed telecentric camera method developed based on the digital image processing is such a measuring technique, but its measuring precision is to be improved due to the existing three problems in the depth-of-field particle extraction, reconstruction of dim bubbles, and counting of overlapping particle clusters. This work has solved these problems by developing corresponding algorithms and the relative errors of measured solid holdup and gas holdup are as low as 0.3% and 1.0%, respectively.

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Section: Bubble Location and Reconstruction Methodsmentioning

confidence: 99%

Method to concurrently measure local gas and solid holdups visually with higher precision in circulating fluidized bed

Zhang

et al. 2021

AIChE Journal

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A New Bubble Image Model Based on the Recognition of Bubble Flow

Li,

Liu,

Liu

2024

Chem Eng & Technol

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In this study, a new ellipse‐fitting algorithm is proposed to achieve the reconstruction of bubble shapes in bubbly flow captured by a high‐speed camera in the gas–liquid two‐phase column reactor. Bubble flow patterns and geometric parameters in the experimental images are recognized and identified successfully, represented by means of the topological parameters. Three logical steps are carried out in detail. First, the area threshold and the circularity factors are established to identify the bubbles whether belonging to a single bubble or not. The overlapping bubbles in images can be separated from single bubbles based on a watershed segmentation algorithm. Second, a single bubble image and an overlapping bubble image are combined into one image. After that, statistical analysis for the size distributions and ellipse area bubbles is performed for further analysis and discussion. The advantage of this algorithm is that it can make use of a set of major and minor axes of an ellipse to capture the ellipse parameters more effectively. Simulation results are well agreed with experimental measurements. Moreover, it can be used to detect many ellipse‐like bubbles that are dispersed in high‐speed camera images, indicating that it is a better strategy for the recognition and identification of bubbly turbulent flow accurately.

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