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For SAG Milling optimizing the throw and converting the available electrical energy (installed motor power) to potential energy (height of throw trajectory) to kinetic energy (rock breakage) is the key function. Therefore having a speed range available allows this tuning of the SAG mill.

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MillScanner™ will skillfully listen to the mill to ensure it s safe reliable and efficient operation. KSX will tie all of the information together to create optimal set points from which its neural network and genetic algorithms can continuously learn predict and further optimize SAG mill throughput.

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BATU HIJAU MILL THROUGHPUT OPTIMIZATION MILLING CIRCUIT CONFIGURATION STRATEGY BASED ON ORE CHARACTERIZATION F. Wirfiyata and A. Maclean G. Khomaeni optimize power used for breakage in all installed comminution equipment and maximize The current SAG Mill operation is still rated 13.4 MW power at

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If the mill feed setpoint is changed then the actual feed rate needs to stabilise at the new target in a short period of time. The feed rate setpoint can then be tied into a SAG mill power optimisation strategy. SAG mill discharge control is quite involved due to few interactive variables such as mill discharge sump level classification

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The performance of tumbling mills is sensitive to the volumetric mill filling which influences grinding media wear rates throughput power draw and product grind size from the circuit. Each of these performance parameters peaks at different filling values. In order to contin-uously optimize mill operation it is vital to

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