International Conference on Raw Materials and Circular Economy 2021
DOI: 10.3390/materproc2021005027
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Dual and Multi Energy XRT and CT Analyses Applied to Copper-Molybdenum Mineralizations in Porphyry Deposits

Abstract: X-ray transmission (XRT) and computed tomography (CT) was used on five samples from the Niaz porphyry Cu–Mo deposit in Iran, representing different alteration zones. Analysis of three-dimensional CT data revealed structural information and groups of elements with low, medium and high attenuation, which were assigned to minerals previously determined by scanning electron microscopy. Thus, the mineralization can be located, and the metal/waste ratio can be estimated, leading to more precise ore body modelling an… Show more

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“…The analysis of DE-XRT images yields material information on the scanned objects in real time, making an integration into online processes possible. DE-XRT is mostly used for non-destructive testing and in the security sector, e.g., in luggage scanners at airports, but also shows promising results in mining [ 16 , 17 , 18 ], food safety [ 19 , 20 ], recycling [ 21 , 22 , 23 , 24 ], and other sorting applications [ 1 , 25 , 26 , 27 , 28 ]. As DE-XRT is able to distinguish different compounds or elements, it is well suited for finding a variety of hazardous and non-hazardous materials in laundry, such as plastics, paper, metal, and glass.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis of DE-XRT images yields material information on the scanned objects in real time, making an integration into online processes possible. DE-XRT is mostly used for non-destructive testing and in the security sector, e.g., in luggage scanners at airports, but also shows promising results in mining [ 16 , 17 , 18 ], food safety [ 19 , 20 ], recycling [ 21 , 22 , 23 , 24 ], and other sorting applications [ 1 , 25 , 26 , 27 , 28 ]. As DE-XRT is able to distinguish different compounds or elements, it is well suited for finding a variety of hazardous and non-hazardous materials in laundry, such as plastics, paper, metal, and glass.…”
Section: Introductionmentioning
confidence: 99%