Modeling and simulation of green iron ore pellet classification in a single deck roller screen using the discrete element method

2018 ◽  
Vol 332 ◽  
pp. 359-370 ◽  
Author(s):  
Benito Barbabela e Silva ◽  
Emerson R. da Cunha ◽  
Rodrigo M. de Carvalho ◽  
Luís Marcelo Tavares
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saprativ Basu ◽  
Arijit Chakrabarty ◽  
Samik Nag ◽  
Kishore Behera ◽  
Brati Bandyopadhyay ◽  
...  

Purpose The dryer feed chute of the pellet plant plays an important role in the pelletizing process. The chute discharges sticky and moist iron ore fines (<1 mm) to the inline rotary dryer for further processing. Since the inception of the installation of the dryer feed chute, the poor flowability of the feed materials has caused severe problems such as blockages and excessive wear of chute liners. This leads to high maintenance costs and reduced lifetime of the liner materials. Constant housekeeping is needed for maintaining the chute and reliable operation. The purpose of this study is to redesign the dryer feed chute to overcome the above challenges. Design/methodology/approach The discrete element method (DEM) has been used to model the flow of cohesive materials through the transfer chute. Physical experiments have been performed to understand the most severe flow conditions. A DEM material model is also developed for replicating the worst-case material condition. After identifying the key problem areas, concept designs were proposed and simulated to assess the design improvements to increase the reliability of chute operation. Findings Flow simulations correlated well with the existing flow behavior of the iron ore fines inside the chute. The location of the problematic areas has been validated with that of the previously installed chute. Subsequently, design modifications have been proposed. This includes modification of deflector plate and change in slope and cross-section of the chute. DEM simulations and analysis were conducted after incorporating these design changes. A comparison in the average velocity of particle and force on chute wall shows a significant improvement using the proposed design. Originality/value Method to calibrate DEM material model was found to provide accurate prediction and modeling of the flow behavior of bulk material through the real transfer chute. DEM provided greater insight into the performance of the chute especially modeling cohesive materials. DEM is a valuable design tool to assist chute designers troubleshoot and verify chute designs. DEM provides a greater ability to model and assess chute wear. This technique can help in achieving a scientific understanding of the flow properties of bulk solids through transfer chute, hence eliminate challenges, ensuring reliable, uninterrupted and profitable plant operation. This paper strongly advocates the use of calibrated DEM methodology in designing bulk material handling equipment.


Materials ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. 520 ◽  
Author(s):  
Tongqing Li ◽  
Yuxing Peng ◽  
Zhencai Zhu ◽  
Shengyong Zou ◽  
Zixin Yin

2017 ◽  
Vol 9 (5) ◽  
pp. 168781401770559 ◽  
Author(s):  
Yuxing Peng ◽  
Tongqing Li ◽  
Zhencai Zhu ◽  
Shengyong Zou ◽  
Zixin Yin

2015 ◽  
Vol 283 ◽  
pp. 475-487 ◽  
Author(s):  
D. Wang ◽  
M. Servin ◽  
T. Berglund ◽  
K.-O. Mickelsson ◽  
S. Rönnbäck

TAPPI Journal ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 101-108
Author(s):  
Daniel Varney ◽  
Douglas Bousfield

Cracking at the fold is a serious issue for many grades of coated paper and coated board. Some recent work has suggested methods to minimize this problem by using two or more coating layers of different properties. A discrete element method (DEM) has been used to model deformation events for single layer coating systems such as in-plain and out-of-plain tension, three-point bending, and a novel moving force picking simulation, but nothing has been reported related to multiple coating layers. In this paper, a DEM model has been expanded to predict the three-point bending response of a two-layer system. The main factors evaluated include the use of different binder systems in each layer and the ratio of the bottom and top layer weights. As in the past, the properties of the binder and the binder concentration are input parameters. The model can predict crack formation that is a function of these two sets of factors. In addition, the model can predict the flexural modulus, the maximum flexural stress, and the strain-at-failure. The predictions are qualitatively compared with experimental results reported in the literature.


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