Sensor-based sorting has proved to be one of the most important developments in mineral processing, as a versatile pre-concentration process, reducing overall energy and water consumption and pushing the more limited and complex heavy medium separation circuits towards obsolescence.
Sensor-based sorting separates valuable ore from waste material based on the physical properties of the rocks or particles being processed. It involves the use of sensors and sophisticated sorting algorithms to identify and segregate different materials based on their characteristics such as colour, density, shape, size, or composition. Various sensors, such as near-infrared, X-ray transmission, laser, or optical sensors, scan the material as it moves along the conveyor belt, analysing the physical properties of the particles in real-time.
By accurately sorting and segregating different ore grades, sensor-based sorting helps maintain consistent feed grades to downstream processing plants. This ensures that the final product meets quality specifications and maximizes the value of the extracted minerals. Overall the technology plays a crucial role in modern mining operations by enabling efficient, cost-effective, and sustainable extraction of valuable minerals from ore deposits.
Steinert joins the Comex Group, Conundrum, and Capstone Copper as conference sponsors.
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