Machine learning to improve mineral processing efficiency

Researchers from EMPA and SELFRAG have trained a computer to recognise how much a piece of rock has been broken by electric pulse fragmentation by the sound of the electrical discharge. This has the potential to allow future systems to recognise how much the rocks are breaking and automatically adjust energy input to achieve target size reduction.

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