Bubble behaviour investigation in a wet fluidized bed using digital image analysis

Author(s):  
Li Dai ◽  
Zhulin Yuan ◽  
Lei Guan ◽  
Kai Wu ◽  
Conghui Gu
Author(s):  
Jiamin Li ◽  
Xiaoping Chen ◽  
Jiliang Ma ◽  
Cai Liang

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.


2018 ◽  
Vol 35 (2) ◽  
pp. 613-620
Author(s):  
Mahdi Salehi-Asl ◽  
Saeed Azhgan ◽  
Salman Movahedirad

Author(s):  
Guadalupe Ramos Caicedo ◽  
Juan J.Prieto Marqués ◽  
Mónica Garcı́a Ruı́z ◽  
Jesús Guardiola Soler

2000 ◽  
Vol 10 (2) ◽  
pp. 7-9
Author(s):  
Yaser Natour ◽  
Christine Sapienza ◽  
Mark Schmalz ◽  
Savita Collins

2019 ◽  
Vol 8 (3) ◽  
pp. 11 ◽  
Author(s):  
Gustav Stålhammar ◽  
Thonnie Rose O. See ◽  
Stephen Phillips ◽  
Stefan Seregard ◽  
Hans E. Grossniklaus

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