Affinity of dual energy X-ray transmission sensors on minerals bearing heavy rare earth elements

Veras, Moacir Medeiros; Young, Aaron; Born, Cristiano Rocha; Szewczuk, Artur; Neto, Artur Cézar Bastos; Petter, Carlos Otávio; Sampaio, Carlos Hoffmann

doi:10.1016/j.mineng.2019.106151

Cited by 17 publications

(4 citation statements)

References 12 publications

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“…Such non-linearity also occurs in X-ray radiography (not tomography) of a sample with an irregular shape [28]. Thus, the method of the present study could be potentially extended to the doubleexposure radiography [29], which is an economically more reasonable apparatus than tomography.…”

Section: Discussionmentioning

confidence: 73%

“…This is analogous to the advantages of two-dimensional nuclear magnetic resonance (NMR) [25] compared to one-dimensional NMR, where using two dimensions significantly improves the ability to differentiate materials. However, a careful comparison between the image analysis methods proposed in this paper and the conventional double-exposure X-ray imagery [7,[26][27][28][29] should be performed in future. Additional directions for future research include the following four subjects.…”

Section: Discussionmentioning

confidence: 99%

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Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nakashima

Nakano

2020

Chemistry Africa

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We present a theoretical background for heavy element quantification through the intensive analysis of beam hardening (cupping artifacts) in X-ray computed tomography (CT) images. Cupping artifacts resulting from X-ray CT using a polychromatic X-ray source are quantitatively analyzed with an analytical solution for a cylindrical sample of a homogeneous aqueous solution/suspension containing a heavy element. The theoretical solution reveals that the severity of cupping artifacts is strongly dependent on the sample chemistry and the acceleration voltage of the X-ray tube. Careful analysis of this dependency enabled simultaneous determination of the atomic number and molar concentration of the heavy element within a particular estimation error range. Significant improvement in terms of the accuracy of determining the atomic number was achieved by employing double-exposure X-ray CT.

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Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 99%

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nakashima

Nakano

2020

Chemistry Africa

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“…The set of colors in RGB (red-green-blue) captured by the sensor is transduced in a signal to a processor, which stores them and creates an equivalent predefined images model for each detected particle. The software Comex-OSX Analyzer then applies different masks and filters to treat the digital images and allow differentiation of the particles [50,51]. The ejection occurs according to criteria previously fixed, based on the particle characterization and the set threshold.…”

Section: Sensor-based Sortingmentioning

confidence: 99%

Construction and Demolition Waste Recycling through Conventional Jig, Air Jig, and Sensor-Based Sorting: A Comparison

et al. 2021

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The paper presents a comparison of the concentration methods conventional jig, air jig, and sensor-based sorting to treat construction and demolition waste. All tests were made with concrete, brick, and gypsum particles and the tests aim to separate these materials into different size ranges, depending on the method. The equipment tested, conventional jig, air jig, and sensor-based sorting present good results to concentrate construction and demolition waste particles, with different concentrations and mass recoveries. The results show particularly good mass recoveries and particle concentration for conventional jig, especially for concrete and gypsum particles. Sensor-based sorting should preferably use concentration circuits for best results.

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“…On the other hand, the current scenario of decreasing ore grades and the recent developments in sensor-based sorting (SBS) technologies have established increasingly challenging levels of operational efficiency. With compact installation units, dry operation, and the ability to deal with ores of complex mineralogy, like rare earth bearing minerals [1], SBS technology has the potential to replace jigs in many of its traditional applications, particularly those involving coarse particle treatment. The scenario is in some ways analogous to the beginning of the 20th century when the advent of magnetic separation and froth flotation partially replaced gravity concentration processes.…”

Section: Introductionmentioning

confidence: 99%

Jigging: A Review of Fundamentals and Future Directions

Ambrós

2020

Minerals

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For centuries, jigging has been a workhorse of the mineral processing industry. Recently, it has also found its way into the recycling industry, and the increasing concerns related to water usage has led to a renewed interest in dry jigging. However, the current scenario of increasing ore complexity and the advent of smart sensor technologies, such as sensor-based sorting (SBS), has established increasingly challenging levels for traditional concentration methods, such as jigging. Against this background, the current review attempts to summarize and refresh the key aspects and concepts about jigging available in the literature. The configuration, operational features, applications, types, and theoretical models of jigging are comprehensively reviewed. Three promising paths for future research are presented: (1) using and adapting concepts from granular physics in fundamental studies about the stratification phenomena in jigs; (2) implementing advanced control functions by using machine vision and multivariate data analysis and; (3) further studies to unlock the potential of dry jigs. Pursuing these and other innovations are becoming increasingly essential to keep the role of jigging as a valuable tool in future industry.

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Affinity of dual energy X-ray transmission sensors on minerals bearing heavy rare earth elements

Cited by 17 publications

References 12 publications

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Nondestructive Quantification of Heavy Elements Through the Analysis of Beam Hardening Artifacts Using Double-Exposure X-ray Computed Tomography: A Theoretical Consideration

Construction and Demolition Waste Recycling through Conventional Jig, Air Jig, and Sensor-Based Sorting: A Comparison

Jigging: A Review of Fundamentals and Future Directions

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