| 1 |
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 |
| 2 |
DEM investigation of the power draw for material movement in rotary drums with axis offset
Wu WN, Liu XY, Zhang R, Hu Z
Chemical Engineering Research & Design, 144, 310, 2019 |
| 3 |
Flow and power characteristics of an axial discharge rotor-stator mixer
Minnick BA, Kim JW, Ko DI, Calabrese RV
Chemical Engineering Research & Design, 136, 477, 2018 |
| 4 |
Diagnostics of cone crusher feed segregation using power draw measurements
Grondahl A, Asbjornsson G, Hulthen E, Evertsson M
Minerals Engineering, 127, 15, 2018 |
| 5 |
A power model for fine grinding HIGmills with castellated rotors
Heath A, Keikkala V, Paz A, Lehto H
Minerals Engineering, 103, 25, 2017 |
| 6 |
Development of a novel methodology to determine mill power draw
Bbosa LS, Govender I, Mainza A
International Journal of Mineral Processing, 149, 94, 2016 |
| 7 |
Understanding performance variation of a HICOM (R) mill with operating conditions and media attributes
Owen P, Cleary PW
International Journal of Mineral Processing, 155, 13, 2016 |
| 8 |
Assessment of alternative draw solutions for optimized performance of a closed-loop osmotic heat engine
Hickenbottom KL, Vanneste J, Cath TY
Journal of Membrane Science, 504, 162, 2016 |
| 9 |
Effect of slurry pool formation on the load orientation, power draw, and impact force in tumbling mills
Soleymani MM, Fooladi M, Rezaeizadeh M
Powder Technology, 287, 160, 2016 |
| 10 |
A simplified model to calculate the power draw for material movement in industrial rotary kilns
Liu XY, Xu XK, Wu WN, Herz F, Specht E
Powder Technology, 301, 1294, 2016 |
