11 |
A novel CFD-DEM coarse-graining method based on the Voronoi tessellation Che HQ, O'Sullivan C, Sufian A, Smith ER Powder Technology, 384, 479, 2021 |
12 |
Investigation of the vibrating feeding system for sphericity separation of coated fuel particles using DEM Fan T, Liu ML, Ma HQ, Liu B, Shao YL, Zhao YZ Powder Technology, 383, 131, 2021 |
13 |
Fluid fl ow assisted mixing of binary granular beds using CFD-DEM Vijayan A, Joy B, Annabattula RK Powder Technology, 383, 183, 2021 |
14 |
Dem simulations on gate loads and bin storage characteristics before discharge Shen JH, Roberts A, Wheeler C Powder Technology, 383, 280, 2021 |
15 |
Predicting the behavior of granules of complex shapes using coarse-grained particles and artificial neural networks Nasato DS, Albuquerque RQ, Briesen H Powder Technology, 383, 328, 2021 |
16 |
DEM simulation of binary mixing particles with different density in an intensive mixer Zuo ZJ, Gong SG, Xie GL, Zhang JP Powder Technology, 383, 454, 2021 |
17 |
Algorithm for the determination of the angle of repose in bulk material analysis Muller D, Fimbinger E, Brand C Powder Technology, 383, 598, 2021 |
18 |
Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods Liao ZH, Yang YZ, Sun CF, Wu RQ, Duan ZH, Wang YY, Li XP, Xu J Powder Technology, 383, 159, 2021 |
19 |
A novel neural network approach to modeling particles distribution on vibrating screen Zhao Z, Jin MZ, Qin F, Yang SX Powder Technology, 382, 254, 2021 |
20 |
Experiments and CFD-DEM simulations of fine kaolinite particle sedimentation dynamic characteristics in a water environment Lv K, Min FF, Zhu JB, Ren B, Bai XJ, Wang CZ Powder Technology, 382, 60, 2021 |