scholarly journals 3D Ore Characterization as a Paradigm Shift for Process Design and Simulation in Mineral Processing

2021 ◽  
Author(s):  
Pratama Istiadi Guntoro ◽  
Yousef Ghorbani ◽  
Jan Rosenkranz
Keyword(s):  
Process Design ◽  
Paradigm Shift ◽  
Mineral Processing ◽  
Analysis Tool ◽  
Micro Computed Tomography ◽  
X Ray ◽  
Automated Mineralogy ◽  
Process Mineralogy ◽  
The Common ◽  
Ore Characterization

AbstractCurrent advances and developments in automated mineralogy have made it a crucial key technology in the field of process mineralogy, allowing better understanding and connection between mineralogy and the beneficiation process. The latest developments in X‑ray micro-computed tomography (µCT) have shown a great potential to let it become the next-generation automated mineralogy technique. µCT’s main benefit lies in its capability to allow 3D monitoring of the internal structure of the ore sample at resolutions down to a few hundred nanometers, thus excluding the common stereological error in conventional 2D analysis. Driven by the technological and computational progress, µCT is constantly developing as an analysis tool and successively it will become an essential technique in the field of process mineralogy. This study aims to assess the potential application of µCT systems, for 3D ore characterization through relevant case studies. The opportunities and platforms that µCT 3D ore characterization provides for process design and simulation in mineral processing are presented.

scholarly journals Multi-Scale X-Ray Computed Tomography Analysis to Aid Automated Mineralogy in Ore Geology Research

2021 ◽  
Vol 9 ◽  
Author(s):  
Mathis Warlo ◽  
Glenn Bark ◽  
Christina Wanhainen ◽  
Alan R. Butcher ◽  
Fredrik Forsberg ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Trace Metal ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Ore Deposit ◽  
X Ray ◽  
Multi Scale ◽  
X Ray Computed ◽  
Automated Mineralogy ◽  
Ore Characterization

Ore characterization is crucial for efficient and profitable production of mineral products from an ore deposit. Analysis is typically performed at various scales (meter to microns) in a sequential fashion, where sample volume is reduced with increasing spatial resolution due to the increasing costs and run times of analysis. Thus, at higher resolution, sampling and data quality become increasingly important to represent the entire ore deposit. In particular, trace metal mineral characterization requires high-resolution analysis, due to the typical very fine grain sizes (sub-millimeter) of trace metal minerals. Automated Mineralogy (AM) is a key technique in the mining industry to quantify process-relevant mineral parameters in ore samples. Yet the limitation to two-dimensional analysis of flat sample surfaces constrains the sampling volume, introduces an undesired stereological error, and makes spatial interpretation of textures and structures difficult. X-ray computed tomography (XCT) allows three-dimensional imaging of rock samples based on the x-ray linear attenuation of the constituting minerals. Minerals are visually differentiated though not chemically classified. In this study, decimeter to millimeter large ore samples were analyzed at resolutions from 45 to 1 μm by AM and XCT to investigate the potential of multi-scale correlative analysis between the two techniques. Mineralization styles of Au, Bi-minerals, scheelite, and molybdenite were studied. Results show that AM can aid segmentation (mineralogical classification) of the XCT data, and vice versa, that XCT can guide (sub-)sampling (e.g., for heavy trace minerals) for AM analysis and provide three-dimensional context to the two-dimensional quantitative AM data. XCT is particularly strong for multi-scale analysis, increasingly higher resolution scans of progressively smaller volumes (e.g., by mini-coring), while preserving spatial reference between (sub-)samples. However, results also reveal challenges and limitations with the segmentation of the XCT data and the data integration of AM and XCT, particularly for quantitative analysis, due to their different functionalities. In this study, no stereological error could be quantified as no proper grain separation of the segmented XCT data was performed. Yet, some well-separated grains exhibit a potential stereological effect. Overall, the integration of AM with XCT improves the output of both techniques and thereby ore characterization in general.

Morphology and Affinities of Ampelocissites Seeds (Vitaceae: Ampelopsis clade) from the Paleogene of Texas, USA

2020 ◽  
Vol 45 (3) ◽  
pp. 478-482
Author(s):  
Steven R. Manchester
Keyword(s):  
Computed Tomography ◽  
Cross Sections ◽  
Seed Coat ◽  
Ct Scanning ◽  
Seed Morphology ◽  
Early Eocene ◽  
Micro Computed Tomography ◽  
X Ray ◽  
Fossil Seeds ◽  
Fossil Genus

Abstract—The type material on which the fossil genus name Ampelocissites was established in 1929 has been reexamined with the aid of X-ray micro-computed tomography (μ-CT) scanning and compared with seeds of extant taxa to assess the relationships of these fossils within the grape family, Vitaceae. The specimens were collected from a sandstone of late Paleocene or early Eocene age. Although originally inferred by Berry to be intermediate in morphology between Ampelocissus and Vitis, the newly revealed details of seed morphology indicate that these seeds represent instead the Ampelopsis clade. Digital cross sections show that the seed coat maintains its thickness over the external surfaces, but diminishes quickly in the ventral infolds. This feature, along with the elliptical chalaza and lack of an apical groove, indicate that Ampelocissites lytlensis Berry probably represents Ampelopsis or Nekemias (rather than Ampelocissus or Vitis) and that the generic name Ampelocissites may be useful for fossil seeds with morphology consistent with the Ampelopsis clade that lack sufficient characters to specify placement within one of these extant genera.

INVESTIGATION OF AUBRITES THROUGH INTEGRATION OF 3D MODAL MINERALOGY WITH X-RAY MICRO-COMPUTED TOMOGRAPHY AND GEOCHEMISTRY

2018 ◽  
Author(s):  
Zoë E. Wilbur ◽  
◽  
Arya Udry ◽  
Arya Udry ◽  
Daniel M. Coleff ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Micro Computed Tomography ◽  
X Ray

scholarly journals Investigation of opening eye defects and effects of different ripening profiles on eye structure in semi-hard cheese using X-ray micro-computed tomography

2021 ◽  
Vol 28 ◽  
pp. 100190
Author(s):  
Jaqueline Auer ◽  
Michael Reiter ◽  
Sascha Senck ◽  
Andreas Reiter ◽  
Johann Kastner ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Micro Computed Tomography ◽  
X Ray ◽  
Hard Cheese

scholarly journals 3D visualisation of voids in grapevine flowers and berries using X‐ray micro computed tomography

2021 ◽  
Author(s):  
Z. Xiao ◽  
T. Stait‐Gardner ◽  
S.A. Willis ◽  
W.S. Price ◽  
F.J. Moroni ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Micro Computed Tomography ◽  
X Ray ◽  
3D Visualisation

The trees and the forest: Investigating variability surrounding an aggregate result

2021 ◽  
Vol 31 (3) ◽  
pp. 399-404
Author(s):  
Paul De Boeck ◽  
Michael L. DeKay ◽  
L. Robert Gore ◽  
Minjeong Jeon
Keyword(s):  
Control Theory ◽  
Paradigm Shift ◽  
Replication Studies ◽  
The Common ◽  
Psychological Meaningfulness ◽  
Traditional Approaches ◽  
Exclusive Focus ◽  
Psychological Studies

We agree with Arocha that the common and exclusive focus on aggregate results of psychological studies creates problems. While a paradigm shift toward idiographic approaches or control theory might help, we argue that traditional approaches can accomplish more if measures of variability are taken seriously. We discuss three kinds of studies: within-person treatment studies, questionnaire-based studies, and replication studies. For each of these, we suggest ways to improve psychological meaningfulness by investigating variability surrounding aggregate results, without ending up in an either–or choice between aggregate results and separate, individual results.

Identification of corrosion products and 3D distribution in reinforced concrete using X-ray micro computed tomography

2019 ◽  
Vol 207 ◽  
pp. 304-315 ◽  
Author(s):  
Guohao Fang ◽  
Weijian Ding ◽  
Yuqing Liu ◽  
Jianchao Zhang ◽  
Feng Xing ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Reinforced Concrete ◽  
Corrosion Products ◽  
Micro Computed Tomography ◽  
X Ray
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