| 1 |
Quantitative DEM simulation of pellet and sinter particles using rolling friction estimated from image analysis
Tripathi A, Kumar V, Agarwal A, Tripathi A, Basu S, Chakrabarty A, Nag S
Powder Technology, 380, 288, 2021 |
| 2 |
Modeling the Electrical Conductive Paths within All-Solid-State Battery Electrodes
Gimenez CS, Helmers L, Schilde C, Diener A, Kwade A
Chemical Engineering & Technology, 43(5), 819, 2020 |
| 3 |
Effect of bend angle on granular size segregation in the chute flow under periodic flow inversion
Mantravadi B, Tan DS
Powder Technology, 360, 177, 2020 |
| 4 |
Effect of vibrations on granular material flows down an inclined plane using DEM simulations
Gaudel N, De Richter SK
Powder Technology, 346, 256, 2019 |
| 5 |
CFD-DEM modelling of circulation frequencies and residence times in a prismatic spouted bed
Pietsch S, Kieckhefen P, Heinrich S, Muller M, Schonherr M, Jager FK
Chemical Engineering Research & Design, 132, 1105, 2018 |
| 6 |
What are the microscopic events of colloidal membrane fouling?
Lohaus J, Perez YM, Wessling M
Journal of Membrane Science, 553, 90, 2018 |
| 7 |
Influence of gas inflow modelling on CFD-DEM simulations of three-dimensional prismatic spouted beds
Kieckhefen P, Pietsch S, Hofert M, Schonherr M, Heinrich S, Jager FK
Powder Technology, 329, 167, 2018 |
| 8 |
Classification of particle height in a hopper bin from limited discharge data using convolutional neural network models
Chen SH, Baumes LA, Gel A, Adepu M, Emady H, Jiao Y
Powder Technology, 339, 615, 2018 |
| 9 |
Erosion prediction of industrial conveying pipelines
Uzi A, Ben Ami Y, Levy A
Powder Technology, 309, 49, 2017 |
| 10 |
Identification of DEM simulation parameters by Artificial Neural Networks and bulk experiments
Benvenuti L, Kloss C, Pirker S
Powder Technology, 291, 456, 2016 |
