| 11 |
Pharmaceutical formulation and manufacturing using particle/powder technology for personalized medicines
Tahara K
Advanced Powder Technology, 31(1), 387, 2020 |
| 12 |
Investigating particle-level dynamics to understand bulk behavior in a lab-scale Agitated Filter Dryer (AFD) using Discrete Element Method (DEM)
Tamrakar A, Zheng A, Piccione PM, Ramachandran R
Advanced Powder Technology, 31(1), 477, 2020 |
| 13 |
Modeling and simulation of coal gasification on an entrained flow coal gasifier
Watanabe H, Kurose R
Advanced Powder Technology, 31(7), 2733, 2020 |
| 14 |
Modeling and kinetics study of microwave heat drying of low grade manganese ore
Du JJ, Gao L, Yang Y, Guo SH, Chen J, Omran M, Chen G
Advanced Powder Technology, 31(7), 2901, 2020 |
| 15 |
A new approach to model isobaric heat capacity and density of some nitride-based nanofluids using Monte Carlo method
Jafari K, Fatemi MH
Advanced Powder Technology, 31(7), 3018, 2020 |
| 16 |
Original Paper Stochastic modeling of classifying aerodynamic lenses for separation of airborne particles by material and size
Furat O, Masuhr M, Kruis FE, Schmidt V
Advanced Powder Technology, 31(6), 2215, 2020 |
| 17 |
Numerical modeling on simultaneous removal of mercury and particulate matter within an electrostatic precipitator
Feng YX, Gao WC, Zhou MM, Luo K, Fan JR, Zheng CH, Gao X
Advanced Powder Technology, 31(4), 1759, 2020 |
| 18 |
Original Research Paper Selection function in breakage processes: PBM and Monte Carlo modeling
Das A, Buck A, Kumar J
Advanced Powder Technology, 31(4), 1457, 2020 |
| 19 |
Flowsheet simulation of solids processes: Current status and future trends
Dosta M, Litster JD, Heinrich S
Advanced Powder Technology, 31(3), 947, 2020 |
| 20 |
Power-draw prediction by random forest based on operating parameters for an industrial ball mill
Tohry A, Chelgani SC, Matin SS, Noormohammadi M
Advanced Powder Technology, 31(3), 967, 2020 |
