scholarly journals Industrial Vertical Stirred Mills Screw Liner Wear Profile Compared to Discrete Element Method Simulations

Minerals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 397
Author(s):  
Priscila M. Esteves ◽  
Douglas B. Mazzinghy ◽  
Roberto Galéry ◽  
Luís C. R. Machado
Keyword(s):  
Discrete Element Method ◽  
Wear Behavior ◽  
Scale Up ◽  
Discrete Element ◽  
Maintenance Planning ◽  
Wear Measurement ◽  
Velocity Scale ◽  
Tumbling Mills ◽  
Industrial Measurement ◽  
Element Method

Vertical stirred mills have been widely applied in the minerals industry, due to its greater efficiency in comparison with conventional tumbling mills. In this context, the agitator liner wear plays an important role in maintenance planning and operational costs. In this paper, we use the discrete element method (DEM) wear simulation to evaluate the screw liner wear. Three different mill rotational velocities are evaluated in the simulation, according to different scale-up procedures. The wear profile, wear measurement, power consumption, and particle contact information are used for obtaining a better understanding of the wear behavior and its effects on grinding mechanisms. Data from a vertical stirred mill screw liner wear measurement obtained in a full-scale mill are used to correlate with simulation results. The results indicate a relative agreement with industrial measurement in most of the liner lifecycle, when using a proper mill velocity scale-up.

scholarly journals Research on the Wear Behavior of the Fixed Cone Liner of a Cone Crusher Based on the Discrete Element Method

ACS Omega ◽  
2020 ◽  
Vol 5 (19) ◽  
pp. 11186-11195
Author(s):  
Dasheng Li ◽  
Yonghai Wang ◽  
Chao Wang ◽  
Sehui Li
Keyword(s):  
Discrete Element Method ◽  
Wear Behavior ◽  
Discrete Element ◽  
Cone Crusher ◽  
Element Method

Contributions to the experimental validation of the discrete element method applied to tumbling mills

2004 ◽  
Vol 21 (2/3/4) ◽  
pp. 119-136 ◽  
Author(s):  
Andrew McBride ◽  
Indresan Govender ◽  
Malcolm Powell ◽  
Trevor Cloete
Keyword(s):  
Discrete Element Method ◽  
Experimental Validation ◽  
Discrete Element ◽  
Tumbling Mills ◽  
Element Method

Mechanics of media motion in tumbling mills with 3d discrete element method

1997 ◽  
Vol 10 (2) ◽  
pp. 215-227 ◽  
Author(s):  
S. Agrawala ◽  
R.K. Rajamani ◽  
P. Songfack ◽  
B.K. Mishra
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Tumbling Mills ◽  
Element Method

scholarly journals Scale-Up Strategy in Quality by Design Approach for Pharmaceutical Blending Process with Discrete Element Method Simulation

Pharmaceutics ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 264 ◽  
Author(s):  
Su Bin Yeom ◽  
Du Hyung Choi
Keyword(s):  
Discrete Element Method ◽  
Quality By Design ◽  
Scale Up ◽  
Discrete Element ◽  
Pilot Scale ◽  
Laboratory Scale ◽  
Operating Space ◽  
Blending Process ◽  
Dem Model ◽  
Element Method

An approach combining quality by design (QbD) and the discrete element method (DEM) is proposed to establish an effective scale-up strategy for the blending process of an amlodipine formulation prepared by the direct compression method. Critical process parameters (CPPs) for intermediate critical quality attributes (IQAs) were identified using risk assessment (RA) in the QbD approach. A Box–Behnken design was applied to obtain the operating space for a laboratory-scale. A DEM model was developed by the input parameters for the amlodipine formulation; blending was simulated on a laboratory-scale V-blender (3 L) at optimal settings. The efficacy and reliability of the DEM model was validated through a comparison of simulation and experimental results. Change of operating space was evaluated using the validated DEM model when scaled-up to pilot-scale (10 L). Pilot-scale blending was simulated on a V-blender and double-cone blender at the optimal settings derived from the laboratory-scale operating space. Both pilot-scale simulation results suggest that blending time should be lower than the laboratory-scale optimized blending time to meet target values. These results confirm the change of operating space during the scale-up process. Therefore, this study suggests that a QbD-integrated DEM simulation can be a desirable approach for an effective scale-up strategy.

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