A scalable solution for sensing and sorting ore in the mineral mining process

This project intends to research the building of scalable, low-cost and robust alternatives and improvements to existing systems for mineral sensing and sorting in order to achieve greater productivity and efficiency by means of improving speed and accuracy in the process of mining minerals from low grade rocks. The project will combine developments in embedded […]

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Towards automating ore sorting with rich sensors

To make mining more efficient and environmentally friendly, transportation of rock should be minimized. Ideally we would only transport those rocks that contain economically extractable amounts of minerals. MineSense has developed sensors that can detect the level of minerals in rocks and, in particular, can detect very low levels with high accuracy. This proposal is […]

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Applied Mineralogy for Enhanced Processing of Gold Ore from Artisanal Mining in the Arequipa Region, Peru – Year Two

The proposed research has the objective of applying detailed mineralogical research to aid the multidisciplinary development of high speed sensors for real-time ore sorting applications. MineSense Technologies Ltd. is a mining technology company that develops such sensors and while they have successfully demonstrated the application of its core technologies to distinguish ore from waste material, […]

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Toward Ore-Specific Sensor-Based Sorting Systems in Mining

A two-year, multi-disciplinary research project requiring MSc, PhD and PDF researchers across Computer Science, Earth and Ocean Science, and Mining Engineering is proposed, working with an industrial sponsor MineSense, focused on the development of new sensors for advanced sensor sorting and so-called ‘non-grade’ applications in previously unaddressed high capacity, low grade mining situations. Specific objectives […]

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Effect of Mineralogy on the Application of Sensor-based Sorting Techniques Year Two

Comminution, the process of crushing and grinding ore to liberate minerals, is the most energy intensive part of the processing flowsheet and accounts for upwards of 75% of the overall energy consumption of the processing plant. Ideally we would only crush and grind those rocks that contain economically extractable amounts of minerals. MineSense has developed […]

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Electromagnetic Modeling of Mineralogies

Remarkably, very little prior work exists in the narrowly defined area of electromagnetic modeling of rocks and minerals. It is admittedly a difficult problem that requires, by definition, a multidisciplinary team with representation from both the mining and minerals domain as well as the EM modeling and simulation domain. Such a collocation of resources and […]

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Harnessing imaging spectroscopy for multivariate rock sorting in the mine environment

The proposed research focuses on imaging spectroscopy of geological materials encountered at mineral deposits. Imaging spectroscopy (also known as hyperspectral imaging) in the geosciences traditionally utilizes airborne or spaceborne platforms but ground-based studies at outcrop and smaller scales are becoming more common. This technique collects reflectance data as images, and allows quick analysis of specific […]

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