| 1 |
Simulating the wet granulation of TiO2 photocatalyst in fluidized bed: Population balance modelling and prediction of coalescence rate
Zizek K, Gojun M, Grcic I
Powder Technology, 379, 1, 2021 |
| 2 |
A new time-dependent rate constant of the coalescence kernel for the modelling of fluidised bed granulation
Cronin K, Ortiz FJG, Ring D, Zhang FW
Powder Technology, 379, 321, 2021 |
| 3 |
Numerical study on granule aggregation and breakage in fluidized bed granulation by a novel PBM with DEM-CFD coupling approach
Hayashi K, Nakamura H, Watano S
Powder Technology, 360, 1321, 2020 |
| 4 |
Application of pulsed spray and moisture content control strategies on quality consistency control in fluidized bed granulation: A comparative study
Tian G, Wei YD, Zhao J, Li WL, Qu HB
Powder Technology, 363, 232, 2020 |
| 5 |
Modular-Based Simulation of Single Process Units
Dosta M
Chemical Engineering & Technology, 42(3), 699, 2019 |
| 6 |
CFD-DEM-PBM coupled model development and validation of a 3D top-spray fluidized bed wet granulation process
Tamrakar A, Ramachandran R
Computers & Chemical Engineering, 125, 249, 2019 |
| 7 |
An experimental study on the spray characteristics of pressure nozzle in a fluid bed granulation
Sanaei-Moghadam M, Jahangiri M, Hormozi F
Particulate Science and Technology, 37(1), 39, 2019 |
| 8 |
Novel population balance model for granule aggregation and breakage in fluidized bed granulation and drying
Hayashi K, Watano S
Powder Technology, 342, 664, 2019 |
| 9 |
The effect of binder concentration in fluidized-bed granulation: Transition between wet and melt granulation
Bertin D, Cotabarren IM, Moraga SV, Pina J, Bucala V
Chemical Engineering Research & Design, 132, 162, 2018 |
| 10 |
A process optimization strategy of a pulsed-spray fluidized bed granulation process based on predictive three-stage population balance model
Liu HL, O'Connor T, Lee S, Yoon S
Powder Technology, 327, 188, 2018 |
