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X-ORIGINAL-URL:https://minsouth.org.uk
X-WR-CALDESC:Events for MinSouth
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210414T170000
DTEND;TZID=UTC:20210414T180000
DTSTAMP:20260519T081313
CREATED:20210317T205348Z
LAST-MODIFIED:20210317T205348Z
UID:72901-1618419600-1618423200@minsouth.org.uk
SUMMARY:Using Science to Maximize Sorting Efficiency
DESCRIPTION: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. \nTo register for this Solutions Exchange Webinar:\nRegistration Link
URL:https://minsouth.org.uk/event/using-science-to-maximize-sorting-efficiency/
CATEGORIES:CIM Magazine,Saskatchewan Research Council
ATTACH;FMTTYPE=image/png:https://minsouth.org.uk/wp-content/uploads/2021/03/SRC-Talk-2020.04.14.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210316T160000
DTEND;TZID=UTC:20210316T170000
DTSTAMP:20260519T081313
CREATED:20210308T184256Z
LAST-MODIFIED:20210308T184256Z
UID:72880-1615910400-1615914000@minsouth.org.uk
SUMMARY:Mineral Characterization for Optimum Sensor-Based Sorting
DESCRIPTION:Installations of both bulk and particle sensor-based sorting (SBS) in the mining industry have increased significantly recently. However\, SBS still lacks industry recognition as a pre-concentration technology. In addition to mineralogical characterization\, different sensors and their performance parameters are key to understanding orebody heterogeneity characteristics exploited by SBS. Current SBS testwork is often hit-or-miss—or worse\, amenability is assessed only by desktop study using default parameters from “similar ores.” This gap in standardized methodology for SBS characterization is often linked to its unsuccessful or sub-optimum adoption of the technology. In this webinar on sensor-based sorting\, experts from SRC and Unearthed Consulting will cover the mineral and sensor characterization required for successfully adopting sensor-based sorting. You’ll learn about sensor-based technologies and their mineral applications\, such as XRT\, laser\, infrared\, induction and colour sorters.
URL:https://minsouth.org.uk/event/mineral-characterization-for-optimum-sensor-based-sorting/
LOCATION:Virtually
CATEGORIES:CIM Magazine,Saskatchewan Research Council
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