An industrial image processing-based approach for estimation of iron ore green pellet size distribution

2016 ◽  
Vol 303 ◽  
pp. 260-268 ◽  
Author(s):  
Mahdi Heydari ◽  
Rassoul Amirfattahi ◽  
Behzad Nazari ◽  
Pooyan Rahimi
Measurement ◽  
2021 ◽  
pp. 108963
Author(s):  
Sung-Mook Oh ◽  
Jin Park ◽  
Jinsun Yang ◽  
Young-Gyun Oh ◽  
Kyung-Woo Yi

2014 ◽  
Vol 32 (14) ◽  
pp. 1655-1663 ◽  
Author(s):  
Leila Kavoshi ◽  
Mohammad S. Hatamipour ◽  
Amir Rahimi ◽  
Mehdi Momeni

Author(s):  
Runjia Liu ◽  
Yong Zang ◽  
Rui Xiao

Abstract Detailed understanding the particle mixing and segregation dynamic is essential in successfully designing and reasonably operating multicomponent fluidized bed. In this work, a novel fluorescent tracer technique combining image processing method has been used to investigate the mixing and segregation behavior in a binary fluidized bed with wide size distributions. The particle number percentage in each layer for different gas velocities is obtained by an image processing method. Fluidization, mixing and segregation behavior has been discussed in terms of bed pressure drop, gas velocity and mixing index. Different types of binary particle systems, including the jetsam and the flotsam-rich system, are analyzed and compared. The mixing indexes at different minimum fluidization velocities are also analyzed and compared with other work. The results show that the theoretical minimum fluidization velocity calculated from the bed pressure drop cannot represent the whole fluidization for a wide size distribution binary particle system. The effect of a wide size distribution is an inflection point in the mixing index curve. There is also a dead region in the bottom of the bed that consists of particles with large size and a low degree of sphericity. The particles in the dead region are extraordinarily difficult to fluidize and should be considered in the design of fluidized beds in industrial applications.


2014 ◽  
Vol 54 (6) ◽  
pp. 1222-1227 ◽  
Author(s):  
Hong-wei Guo ◽  
Bu-xin Su ◽  
Zhen-long Bai ◽  
Jian-liang Zhang ◽  
Xin-yu Li ◽  
...  

2015 ◽  
Vol 770 ◽  
pp. 512-517 ◽  
Author(s):  
O.V. Tailakov ◽  
M.P. Makeev ◽  
A.N. Kormin ◽  
A.I. Smyslov

Therein algorithms of application of digital models for evaluation of porosity and fractional composition of coals based on analysis of their optical images are offered. The models allow allocating significant informational objects and estimation of structural and filtration properties of coals. The results of algorithms application on recognition of the optical images of coals are presented, the particle size distribution of coal charge and porosity of coal is defined.


2017 ◽  
Vol 53 (1) ◽  
pp. 31-41 ◽  
Author(s):  
Patra Satyananda ◽  
Aditya Kumar ◽  
Venugopal Rayasam

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