REWO-SORT Sensor Fusion for Enhanced Ore Sorting: a Project Overview
Document identifier: oai:DiVA.org:ltu-76748
Keyword: Engineering and Technology,
Environmental Engineering,
Mineral and Mine Engineering,
Teknik och teknologier,
Naturresursteknik,
Mineral- och gruvteknik,
Ore Geology,
MalmgeologiPublication year: 2019Abstract: Among the numerous challenges recently confronting the mining industry is the need to process ore with successively lower grades due to the continuous depletion of high-grade deposits. This increases the consumption of energy and water and, thus, the operational costs at a mine site. Multimodal sorting represents a promising technique to achieve pre-concentration of valuable minerals already at an early stage in the metallurgical process.In the ERA-MIN2 project “Reduction of Energy and Water Consumption of Mining Operations by Fusion of Sorting Technologies LIBS and ME-XRT” (REWO-SORT), a fusion technology including laser-induced breakdown spectroscopy (LIBS) and multi energy X-ray transmission (ME-XRT) is being developed by a multidisciplinary expert consortium. The project aims at classifying crushed mineral particles on a conveyor belt with the aid of deep learning technologies. In addition, the operating conditions to work with high throughput while keeping a particle monolayer on the conveyor belt have been identified. The latter objective is addressed using discrete element method (DEM) simulations. Parameter calibrations were experimentally obtained using a copper sulfide ore from the Rafaela mining company (Chile). The combination of LIBS and ME-XRT is promising, as they complement each other regarding analytical and particle selection capabilities: LIBS can provide an elemental analysis of the sample surface, while ME-XRT produces volumetric data with lower accuracy. Both sensors will be combined to extrapolate accurate and representative volumetric data, thereby securing an optimal particle selection at high throughputs. First measurements and analyses of ore samples using LIBS and ME-XRT, as well as their correlation with the Cu concentration obtained by reference lab analysis will be presented and discussed. Preliminary DEM studies indicate the existence of a threshold of conveyor belt surface area covered with particles of around 85%. Above this value the particle monolayer cannot be maintained, imposing another restriction for the speed of sensor analysis.
Authors
Markus Firsching
Fraunhofer Development Centre X-ray Technology EZRT, Fürth, Germany
Other publications
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Christine Bauer
Fraunhofer Development Centre X-ray Technology EZRT, Fürth, Germany
Other publications
>>
Rebecca Wagner
Fraunhofer Development Centre X-ray Technology EZRT, Fürth, Germany
Other publications
>>
Alexander Ennen
Fraunhofer Development Centre X-ray Technology EZRT, Fürth, Germany
Other publications
>>
Amit Ahsan
SECOPTA analytics, Germany
Other publications
>>
Tobias Christoph Kampmann
Luleå tekniska universitet; Geovetenskap och miljöteknik; Ore Geology
Other publications
>>
Glacialle Tiu
Luleå tekniska universitet; Geovetenskap och miljöteknik; Ore Geology
Other publications
>>
Alvaro Valencia
University of Chile
Other publications
>>
Aldo Casali
University of Chile
Other publications
>>
Gonzalo Montes Atenas
University of Chile
Other publications
>>
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header:
identifier: oai:DiVA.org:ltu-76748
datestamp: 2021-05-11T23:04:23Z
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recordCreationDate: 2019-11-19
identifier: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76748
titleInfo:
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lang: eng
title: REWO-SORT Sensor Fusion for Enhanced Ore Sorting: a Project Overview
abstract: Among the numerous challenges recently confronting the mining industry is the need to process ore with successively lower grades due to the continuous depletion of high-grade deposits. This increases the consumption of energy and water and thus the operational costs at a mine site. Multimodal sorting represents a promising technique to achieve pre-concentration of valuable minerals already at an early stage in the metallurgical process.In the ERA-MIN2 project “Reduction of Energy and Water Consumption of Mining Operations by Fusion of Sorting Technologies LIBS and ME-XRT” (REWO-SORT) a fusion technology including laser-induced breakdown spectroscopy (LIBS) and multi energy X-ray transmission (ME-XRT) is being developed by a multidisciplinary expert consortium. The project aims at classifying crushed mineral particles on a conveyor belt with the aid of deep learning technologies. In addition the operating conditions to work with high throughput while keeping a particle monolayer on the conveyor belt have been identified. The latter objective is addressed using discrete element method (DEM) simulations. Parameter calibrations were experimentally obtained using a copper sulfide ore from the Rafaela mining company (Chile). The combination of LIBS and ME-XRT is promising as they complement each other regarding analytical and particle selection capabilities: LIBS can provide an elemental analysis of the sample surface while ME-XRT produces volumetric data with lower accuracy. Both sensors will be combined to extrapolate accurate and representative volumetric data thereby securing an optimal particle selection at high throughputs. First measurements and analyses of ore samples using LIBS and ME-XRT as well as their correlation with the Cu concentration obtained by reference lab analysis will be presented and discussed. Preliminary DEM studies indicate the existence of a threshold of conveyor belt surface area covered with particles of around 85%. Above this value the particle monolayer cannot be maintained imposing another restriction for the speed of sensor analysis.
subject:
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lang: eng
authority: uka.se
topic:
Engineering and Technology
Environmental Engineering
Mineral and Mine Engineering
@attributes:
lang: swe
authority: uka.se
topic:
Teknik och teknologier
Naturresursteknik
Mineral- och gruvteknik
@attributes:
lang: eng
authority: ltu
topic: Ore Geology
genre: Research subject
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authority: ltu
topic: Malmgeologi
genre: Research subject
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ref
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Published
10
Conference paper first published by GECAMIN 2019
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Firsching
Markus
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affiliation: Fraunhofer Development Centre X-ray Technology EZRT Fürth Germany
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Bauer
Christine
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Wagner
Rebecca
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Ennen
Alexander
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Ahsan
Amit
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Kampmann
Tobias Christoph
1987-
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Luleå tekniska universitet
Geovetenskap och miljöteknik
Ore Geology
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Glacialle
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Luleå tekniska universitet
Geovetenskap och miljöteknik
Ore Geology
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Valencia
Alvaro
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affiliation: University of Chile
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Casali
Aldo
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affiliation: University of Chile
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Montes Atenas
Gonzalo
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affiliation: University of Chile
originInfo:
dateIssued: 2019
location:
url: https://gecamin.com/procemin.geomet/index.php#home
url: http://ltu.diva-portal.org/smash/get/diva2:1371126/FULLTEXT01.pdf
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