You're invited to a virtual Henry Krumb lecture:
Correlative Tomography for 3D multi-phase Structure in a Phosphate Ore
by Ryan MacIver Technical Director, Chem Etc. LTD.; PhD candidate in Mining Engineering, University of British Columbia
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No cost; this is a complimentary presentation.
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Sensor-based sorting is increasingly used in the mining industry to reject waste rock and increase the head grade of the ore that enters the mill or plant. Improvements in X-ray transmission-based (XRT) sorter technology (speed, resolution, energy) now permit the extraction of multiple features from single ore particles, so it is important to understand how these signal features can be used to reject waste material. This presentation will describe the application of an image correlation method (using X-ray computed tomography and scanning electron microscopy or SEM) to estimate the apatite grade and distribution in single ore particles of a “reject” or low-grade phosphate ore. This approach considers ore heterogeneity at the particle level, and is one way to understand how an X-ray transmission (XRT) signal may be correlated with ore grade and distribution.
Ryan MacIver is an image scientist and software developer with a background in mineral processing and chemistry. He has a Masters in mining engineering and is completing his PhD in mining engineering. His PhD research uses X-ray computed tomography images to investigate the structure and dewatering properties of tailings. He co-founded Chem Etc. Ltd. to develop software to support sensor-based sorting studies (drill core analysis and online camera-based particle size estimation).