Erratum to “Effect of paddle rotational speed on particle mixing behavior in electrophotographic system by using parallel discrete element method” [Adv. Powder Technol. 20 (2009) 406–415]

2009 ◽  
Vol 20 (5) ◽  
pp. 509
Author(s):  
Hiroshi Mio ◽  
Ryohei Higuchi ◽  
Wakana Ishimaru ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Discrete Element ◽  
Particle Mixing ◽  
Mixing Behavior ◽  
Element Method

scholarly journals Effect of Paddle Rotational Speed on Particle Mixing Behavior in Electrophotographic System by Using Parallel Discrete Element Method

2009 ◽  
Vol 46 (3) ◽  
pp. 169-179
Author(s):  
Hiroshi Mio ◽  
Ryohei Higuchi ◽  
Wakana Ishimaru ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Discrete Element ◽  
Particle Mixing ◽  
Mixing Behavior ◽  
Element Method

Effect of paddle rotational speed on particle mixing behavior in electrophotographic system by using parallel discrete element method

2009 ◽  
Vol 20 (4) ◽  
pp. 406-415 ◽  
Author(s):  
Hiroshi Mio ◽  
Ryohei Higuchi ◽  
Wakana Ishimaru ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Discrete Element ◽  
Particle Mixing ◽  
Mixing Behavior ◽  
Element Method

scholarly journals Simulation and verification for seed-filling performance of cell wheel precision seed metering device based on discrete element method

2018 ◽  
Vol 169 ◽  
pp. 01035
Author(s):  
Qinghui Lai ◽  
Ziwu Hua ◽  
Jinlong Xing ◽  
Wenpeng Ma
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Simulation Analysis ◽  
Discrete Element ◽  
Filling Ratio ◽  
Test Bed ◽  
Seed Filling ◽  
Filling Device ◽  
Seed Metering Device ◽  
Element Method

The cell wheel seed metering device was improved and a stirring seed-filling device was added to improve the seed-filling performance of cell wheel pseudo-ginseng precision seed metering devices. Using pseudo-ginseng seeds in Wenshan Prefecture, Yunnan Province as the objects for seed metering, the software application EDEM was adopted based on the discrete element method for the simulation calculation and analysis of the seed-filling performance of the seed metering device under 4 rotational speeds of the cell wheel and 6 rotational speeds of the stir wheel. The simulation results indicate that the filling ratio increases as the rotational speed of the stir wheel increases under a constant rotational speed of the cell wheel. Test verification of the simulation analysis results was conducted on the test bed of the seed metering device. The results indicate that increasing the rotational speed of the stir wheel can obtain a filling ratio of over 90%. The test results display a similar variation trend to that of the simulation analysis with an error of average filling ratio less than 5%. Therefore, it is feasible to analyze the seed-filling performance of the stirring and seed-filling device of the seed metering device with the discrete element method.

scholarly journals Pelletizing Analysis on MgO-Fluxed Pellets by DEM

Crystals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 821
Author(s):  
Fang Long ◽  
Fengman Shen ◽  
Xin Jiang ◽  
Fu Yang ◽  
Yulu Zhou ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Simulation Model ◽  
Tilt Angle ◽  
Rotational Speed ◽  
Discrete Element ◽  
Charge Ratio ◽  
Simulation Results ◽  
Fluxed Pellets ◽  
Element Method

The Discrete Element Method (DEM) was used to analyze the pelletization process of MgO-fluxed pellets. The effects of the charge ratio and rotational speed of the disc pelletizer on the behavior of MgO-fluxed pellets were investigated by using a simulation. The simulation results show that under the condition of a certain tilt angle of the disc pelletizer (the tilt angle is 49°), the suitable parameters of the disc pelletizer are that the charge ratio is 20% and the rotational speedis 0.7 N/NC. This simulation model proposed will be useful to research pellets behavior and for the design of disc pelletizers.

scholarly journals Mixing Assessment of Non-Cohesive Mono-disperse and Bi-disperse Particles in a Paddle Mixer – Experiments and Discrete Element Method (DEM) Application

2021 ◽  
Author(s):  
Amirsalar Yaraghi
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Particle Number ◽  
Discrete Element ◽  
Mixing Performance ◽  
Disperse Particles ◽  
Relative Standard ◽  
Mixing Quality ◽  
Fill Level ◽  
Element Method

The objective of this study was to assess the mixing performance of a horizontal paddle blender for mono-disperse and bi-disperse particles. The assessment was performed through the application of the Discrete Element Method (DEM) simulations, experiments, and Analysis of Variance (ANOVA). EDEM 2.7 commercial software was utilized for the mono-disperse simulations while LIGGGHTS(R)-PUBLIC 3.3.1, an open source software, was used for the bi-disperse simulations. DEM models were validated with experimental data. Simulations were performed to explore the effect of impeller rotational speed, vessel fill level, particle number composition, and particle loading arrangement on mixing quality defined by the Relative Standard Deviation (RSD) index. The flow pattern and mixing mechanisms were examined through granular temperature, particle diffusivity, and Peclet number. The impeller rotational speed was the most influential parameter on the mixing performance of mono-disperse particles. The particle number composition was the dominating parameter on the mixing quality of bi-disperse particles

scholarly journals Mixing Assessment of Non-Cohesive Mono-disperse and Bi-disperse Particles in a Paddle Mixer – Experiments and Discrete Element Method (DEM) Application

2021 ◽  
Author(s):  
Amirsalar Yaraghi
Keyword(s):  
Discrete Element Method ◽  
Rotational Speed ◽  
Particle Number ◽  
Discrete Element ◽  
Mixing Performance ◽  
Disperse Particles ◽  
Relative Standard ◽  
Mixing Quality ◽  
Fill Level ◽  
Element Method

The objective of this study was to assess the mixing performance of a horizontal paddle blender for mono-disperse and bi-disperse particles. The assessment was performed through the application of the Discrete Element Method (DEM) simulations, experiments, and Analysis of Variance (ANOVA). EDEM 2.7 commercial software was utilized for the mono-disperse simulations while LIGGGHTS(R)-PUBLIC 3.3.1, an open source software, was used for the bi-disperse simulations. DEM models were validated with experimental data. Simulations were performed to explore the effect of impeller rotational speed, vessel fill level, particle number composition, and particle loading arrangement on mixing quality defined by the Relative Standard Deviation (RSD) index. The flow pattern and mixing mechanisms were examined through granular temperature, particle diffusivity, and Peclet number. The impeller rotational speed was the most influential parameter on the mixing performance of mono-disperse particles. The particle number composition was the dominating parameter on the mixing quality of bi-disperse particles

Analyses of multi-size particle mixing behavior in an ore pre-reduction rotary kiln by discrete element method

2021 ◽  
Vol 118 (4) ◽  
pp. 403
Author(s):  
Chenghong Liu ◽  
Xueyong Ding
Keyword(s):  
Discrete Element Method ◽  
Rotary Kiln ◽  
Iron Ore ◽  
Particle Distribution ◽  
Discrete Element ◽  
Size Ratio ◽  
Particle Mixing ◽  
Mixing Behavior ◽  
Mixing Quality ◽  
Average Size

The particle distribution in pre-reduction rotary kiln directly affects the reduction process of iron ore, and in-depth understanding of the mixing behavior is helpful to improve the product quality and productivity. The present work focused on the mixed dynamics of multi-component and multi-size systems in rotary kiln using discrete element method (DEM). We first confirmed that the final particle distribution and mixing degree are independent of the initial particle distribution, and then further discussed the influence of the key operating parameters such as rotating speed, average size ratio and filling degree on mixing behavior. The size segregation pattern of three components shows that the large particles segregated to the outer region, while the small particles were concentrated in the core region, forming an annular distribution with different particle sizes. Furthermore, the results also indicate that the rotational speed and fill degree show strong influence on the mixing time and have little influence on the mixing quality. Conversely, the average size ratio significantly affects on the mixing quality. The particle segregation is suppressed and the coal and iron ore particles are well mixed together for the whole bed when the average size of coal particles is smaller than that of iron ore particle. The findings of this work provide a reference for controlling and optimizing the particle mixing process in pre-reduction rotary kiln.

Sign in / Sign up

Export Citation Format

Share Document