Prediction of solids residence time distribution in cross-flow bubbling fluidized bed

2017 ◽  
Vol 320 ◽  
pp. 555-564 ◽  
Author(s):  
Shujun Geng ◽  
Yanan Qian ◽  
Jinhui Zhan ◽  
Hongling Zhang ◽  
Guangwen Xu ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Cross Flow ◽  
Bubbling Fluidized Bed

Solid residence time distribution in a cross-flow dense fluidized bed with baffles

2019 ◽  
Vol 200 ◽  
pp. 320-335 ◽  
Author(s):  
Leina Hua ◽  
Hu Zhao ◽  
Jun Li ◽  
Qingshan Zhu ◽  
Junwu Wang
Keyword(s):  
Fluidized Bed ◽  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Cross Flow ◽  
Solid Residence Time

A method for measuring the residence time distribution of particles in a fluidized bed based on digital image analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jiamin Li ◽  
Xiaoping Chen ◽  
Jiliang Ma ◽  
Cai Liang
Keyword(s):  
Image Analysis ◽  
Fluidized Bed ◽  
Residence Time ◽  
Digital Image ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Digital Image Analysis ◽  
Color Space ◽  
The Difference ◽  
Accuracy And Repeatability

AbstractTraditional methods for measuring the residence time distribution (RTD) of particles in a fluidized bed are complex and time-consuming. To this regard, the present work proposes a new measurement method with remarkable efficiency based on digital image analysis. The dyed tracers are recognized in the images of the samples due to the difference of colors from bed materials. The HSV and the well-known RGB color space were employed to distinguish the tracers. By enhancing the Saturation and the Value in HSV and adjusting the gray range of images, the recognition error is effectively reduced. Then the pixels representing the tracers are distinguished, based on which the concentration of the tracers and RTD are measured. The efficiency, accuracy and repeatability of the method were validated by RTD measurements experiments. The method is also fit for distinguishing the target particles from multi-component systems consisting of particles of different colors.

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