| 1 |
Effects of particle size on flotation performance in the separation of copper, gold and lead
Ran JC, Qiu XY, Hu Z, Liu QJ, Song BX, Yao YQ
Powder Technology, 344, 654, 2019 |
| 2 |
A new kinetic model for Ni(II) ion flotation based on gene expression programming
Hoseinian FS, Rezai B, Kowsari E
Separation Science and Technology, 54(15), 2528, 2019 |
| 3 |
Effect of NaCl on the flotation response of low-rank coal
Zhen KK, Zhang HJ
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(13), 1613, 2018 |
| 4 |
Influence of flotation cell hydrodynamics on the flotation kinetics and scale up, Part 2: Introducing turbulence parameters to improve predictions
Amini E, Bradshaw DJ, Xie W
Minerals Engineering, 100, 31, 2017 |
| 5 |
Flotation kinetic model with respect to particle heterogeneity and roughness
Nikolaev A
International Journal of Mineral Processing, 155, 74, 2016 |
| 6 |
Enhancement of scale up capability on AMIRA P9 flotation model by incorporating turbulence parameters
Amini E, Xie W, Bradshaw DJ
International Journal of Mineral Processing, 156, 52, 2016 |
| 7 |
Influence of flotation cell hydrodynamics on the flotation kinetics and scale up, Part 1: Hydrodynamic parameter measurements and ore property determination
Amini E, Bradshaw DJ, Xie W
Minerals Engineering, 99, 40, 2016 |
| 8 |
Flotation kinetic models for fixed and variable pulp chemical conditions
Albijanic B, Subasinghe N, Park CH
Minerals Engineering, 78, 66, 2015 |
| 9 |
Comparison of Yianatos and traditional methods to determine kinetic rate constants of different size fractions in industrial rougher cells
Qaredaqi M, Shirazi HHA, Abdollahi H
International Journal of Mineral Processing, 106, 65, 2012 |
| 10 |
Investigating the effect of some operating parameters on phosphate flotation kinetics by neural network
Al-Thyabat S
Advanced Powder Technology, 20(4), 355, 2009 |
