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Using Science to Maximize Sorting Efficiency
CIM ACADEMY. Jane Danoczi, Peng Luo and Steven Creighton . 04/14/21; 315602 Topic: Innovation & Technology
Jane Danoczi, Peng Luo and Steven Creighton
 Jane Danoczi, Peng Luo and Steven Creighton
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Recent implementations of sensor-based sorting have shown major positive impacts on mining economics. Maximizing sorting efficiency requires two linked pieces of information: particle size and particle grade. In addition to reducing downstream processing, particle sorting improves throughput of viable ore. In general, the coarser the size fraction, the easier the sorting and the greater the economic rewards. Intimately linked to particle size is target mineral grade. Successful upgrading relies on understanding the relationship between target mineral grade and size fraction for each phase of the deposit; information that is critical for designing sorting parameters and algorithms.

In this webinar, experts from SRC’s Mining and Energy Division will show how an industry-unique combination of QEMSCAN® and computed-tomography (CT) scanning technologies can help determine the critical size-grade relationship of the ore and assist in identifying the ideal size fraction(s) to sort. This newly developed toolset is applicable to all major deposit types and size ranges.
Recent implementations of sensor-based sorting have shown major positive impacts on mining economics. Maximizing sorting efficiency requires two linked pieces of information: particle size and particle grade. In addition to reducing downstream processing, particle sorting improves throughput of viable ore. In general, the coarser the size fraction, the easier the sorting and the greater the economic rewards. Intimately linked to particle size is target mineral grade. Successful upgrading relies on understanding the relationship between target mineral grade and size fraction for each phase of the deposit; information that is critical for designing sorting parameters and algorithms.

In this webinar, experts from SRC’s Mining and Energy Division will show how an industry-unique combination of QEMSCAN® and computed-tomography (CT) scanning technologies can help determine the critical size-grade relationship of the ore and assist in identifying the ideal size fraction(s) to sort. This newly developed toolset is applicable to all major deposit types and size ranges.
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