Difference between revisions of "Benchmarking: Bond - Copper Mountain"

From SAGMILLING.COM
Jump to: navigation, search
m (Discussion)
(Modelling)
Line 63: Line 63:
 
* Default SSBM contingency for SABC circuit is 0.10.
 
* Default SSBM contingency for SABC circuit is 0.10.
 
* Assume liner thickness of 6 inches in SAG, 4.5 inches in ball mill.
 
* Assume liner thickness of 6 inches in SAG, 4.5 inches in ball mill.
* Model predicted throughput: 1462 t/h on Pit 3 ore and 1452 t/h on Pit 2 ore
+
* Model predicted throughput: 1462 t/h on Pit 3 ore and 1452 t/h on Pit 2 ore.
   
 
Result for default model conditions:
 
Result for default model conditions:

Revision as of 06:35, 3 December 2012

Benchmarking: Bond/Barratt - Copper Mountain

2011 SAG Conference, Mill & Motor

van de Vijfeijken, M., Filidore, A., Walbert, M and Marks, A., Copper Mountain: Overview on the Grinding Mills and their Dual Pinion Mill Drives. Proceedings of the SAG 2011 Conference, September 25-28, 2011; Vancouver, Canada.

  • SAG mill inside (shell) diameter: 34 ft (10.363 m)
  • SAG mill effective grinding length: 17.5 ft (5.334 m)
  • SAG mill design speed (corresponding to motor peak torque/power): 10.08 RPM
  • SAG mill motor (original) power output: 17,000 HP (12,677 kW)
  • Ball mill inside (shell) diameter: 24 ft (7.315 m)
  • Ball mill effective grinding length: 39 ft (11.886 m)
  • Ball mill design speed (corresponding to motor peak torque/power): 11.89 RPM


2011 SAG Conference, Process Design

Marks, A., Sams, C. and Major, K., Grinding Circuit Design for Similco Mines. Proceedings of the SAG 2011 Conference, September 25-28, 2011; Vancouver, Canada.

Sample Density, g/cm3 A×b ta WiRM WiBM
Pit 2 2.75 22.9 0.19 20.1 22.3
Pit 3 2.87 20.1 0.16 20.2 22.2
  • Circuit F80: 150 mm


Presentation to District 6 CMP

Morrison, R., Current Plant Conditions at Copper Mountain. Presentation to the BC/Yukon Branch Canadian Mineral Processors, November 29, 2012; Vancouver, Canada.

  • Ore blend is 80% Pit 3; 20% Pit 2.
  • SAG mill motors have been upgraded to total 13.8 MW by adding cooling to drive transformers (6.9 MW per motor).
  • SAG mill operating with 17% v/v ball charge and 27% to 28% v/v total filling
  • SAG mill operating typically 10.2 RPM.
  • Ball mills operating 34% to 35% v/v total filling
  • Circuit P80=150 µm (was 180 µm before SAG motor upgrade)
  • Circuit throughput: 1600 t/h


Modelling

Screenshot of model
  • Assume the crushing work index is similar to the rod mill: 20 (metric).
  • Default SSBM contingency for SABC circuit is 0.10.
  • Assume liner thickness of 6 inches in SAG, 4.5 inches in ball mill.
  • Model predicted throughput: 1462 t/h on Pit 3 ore and 1452 t/h on Pit 2 ore.

Result for default model conditions:

Tonnage
Model 1462 t/h
Measured 1600 t/h
Difference 138 t/h
Difference 9.0%

Discussion

  • It is noted that the SAG mill model is drawing less than 92% of available power and the ball mill model is drawing over 95%.
    • The ball mills are likely operating at close to this power draw.
    • The SAG mill actual power draw (measured at the shell) is most probably higher than 92%. Power measurements for these mills haven't been published to check against the model.
  • The liner effective thickness is unknown and may be thinner than assumed — this would increase the power draw in the mills and increase the tonnage. Changing the effective liner thickness of the SAG mill to 4.5 inch and the ball mills to 3.0 inches results in 1500 t/h throughput prediction (6.7% difference versus the measured throughput).
  • Raising the SAG speed to 78% of critical speed (10.4 RPM) has little effect due to the drop-off in power observed in a Loveday model using Barratt's published Power Numbers.

Model Tuning

The Bond/Barratt model is tuned using a contingency on the Single Stage Ball Mill specific energy consumption estimate (Essbm).

  • The SSBM contingency factor would be back-calculated as 0.01 based on the data set above.


Changing the SAG mill to the simplified Morrell model results in a much lower mill power draw estimate: 82.8% of rated output. This is much too low and this mill must be modelled with a higher k-factor; likely between 1.35 and 1.40. Unfortunately, without actual motor power measurements, this factor cannot be tuned.