In the drive to improve energy efficiency, recovery, and metallurgical precision, a global engineering company has released a quiet disruptor: a machine-learning-enabled sensor that’s helping mining operations monitor and optimise grind size with new levels of accuracy.
A quiet revolution may be underway in the metallurgical processing world, and it starts not with a new orebody, but with the way water is removed from copper concentrate.