Reducing uncertainty in mineral flotation—flotation rate constant prediction for particles in an operating plant ore

2007 ◽  
Vol 84 (1-4) ◽  
pp. 89-98 ◽  
Author(s):  
J. Ralston ◽  
D. Fornasiero ◽  
S. Grano ◽  
J. Duan ◽  
T. Akroyd
2003 ◽  
Vol 72 (1-4) ◽  
pp. 227-237 ◽  
Author(s):  
J. Duan ◽  
D. Fornasiero ◽  
J. Ralston
Keyword(s):  

2013 ◽  
Vol 331 ◽  
pp. 43-47
Author(s):  
Yue Jun Zhang ◽  
Ming Tan ◽  
Tao Wu ◽  
Tian Ran Feng

A group of data from a batch flotation tests were plug into a batch flotation model, and mineral floatability parameters (flotation rate constant, mass fraction of floatability component) were derived from model calculation. Then a flotation circuit of kakoxene ore was designed in JKSimFloat simulator, after inputting those floatability parameters to flotation circuit model, the ultimate grade and recovery of apatite was obtained by analog computation. Meanwhile, the same flotation circuit test was achieved in the laboratory. The apatite grade in concentrate is 66.61% at the recovery of 78.35% by simulation, while apatite grade in concentrate is 72.70% at the recovery of 88.14% in the laboratory tests. Compared with experiment data, the accuracy of simulation is acceptable.


2015 ◽  
Vol 35 (4) ◽  
pp. 176-188 ◽  
Author(s):  
Xiahui Gui ◽  
Yijun Cao ◽  
Jiongtian Liu ◽  
Shulei Li ◽  
Lun Wu ◽  
...  

2019 ◽  
Vol 141 ◽  
pp. 105836 ◽  
Author(s):  
Ahmad Hassanzadeh ◽  
Asghar Azizi ◽  
Sabri Kouachi ◽  
Mohsen Karimi ◽  
Mehmet S. Celik

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