Influence of multiple gas inlet jets on fluidized bed hydrodynamics using Particle Image Velocimetry and Digital Image Analysis

2011 ◽  
Vol 214 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Gaurav Agarwal ◽  
Brian Lattimer ◽  
Srinath Ekkad ◽  
Uri Vandsburger
Keyword(s):  
Image Analysis ◽  
Particle Image Velocimetry ◽  
Fluidized Bed ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Particle Image ◽  
Image Velocimetry

scholarly journals Effect of the Tube Bundle Configuration on the Experimental Two-Section Two-Zone Fluidized Bed Reactor Hydrodynamics

1970 ◽  
Vol 2 ◽  
pp. 31-32
Author(s):  
Ignacio Julián ◽  
Fausto Gallucci ◽  
Martin Van Sint Annaland ◽  
Javier Herguido ◽  
Miguel Menéndez
Keyword(s):  
Image Analysis ◽  
Fluidized Bed ◽  
Digital Image Analysis ◽  
Particle Image ◽  
Tube Bundle ◽  
Fluidized Bed Reactor ◽  
Catalytic Reactor ◽  
Hydrodynamic Behaviour ◽  
Image Velocimetry ◽  
Reactor Hydrodynamics

Particle Image Velocimetry (PIV) and Digital Image Analysis (DIA) techniques have been used to study the effect of different tube bundle configurations on the hydrodynamic behaviour of a novel gas-solid catalytic reactor concept, the so called: Two-Section Two-Zone Fluidized Bed Reactor.

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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