MLA-based partition curves for magnetic separation

Leißner, Thomas; Bachmann, K.‐H.; Gutzmer, Jens; Peuker, Urs A.

doi:10.1016/j.mineng.2016.05.015

Cited by 46 publications

(22 citation statements)

References 26 publications

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“…Leißner et al (2016) [15] established partition curves on the mixed susceptibility of the separated material from isodynamic separator experiments. This was performed because the material investigated by Leißner et al (2016) predominantly consisted of minerals showing paramagnetic character.…”

Section: Evaluation Of Quality Of Magnetic Separationmentioning

confidence: 99%

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Evaluation of Magnetic Separation Efficiency on a Cassiterite-Bearing Skarn Ore by Means of Integrative SEM-Based Image and XRF–XRD Data Analysis

et al. 2018

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Image analysis data obtained from scanning electron microscopy provided data for a detailed evaluation of the separation efficiency for various processes involving the beneficiation of particulate materials. A dry magnetic separation by a drum type magnetic separator served as a case study to visualize effects of processing of a skarn ore with a high content of cassiterite as ore mineral (~4 wt%). For this material, iron oxides and silicates are the main gangue mineral groups. Based on the obtained data, partition curves were generated with the help of local regression. From the partition curves, the separation efficiency was evaluated and the relevant particle properties deduced. A detailed analysis of the bias of the quantitative mineralogical data is presented. This bias was monitored and further analyzed in detail. Thorough analysis of feed and products of magnetic separation enabled identification of the most important factors that control losses of cassiterite to the magnetic product, namely the association with iron oxides and particle sizes below ~40 µm. The introduced methodology is a general approach applicable for the optimization of different separation processes and is not limited to the presented case study.

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Section: Evaluation Of Quality Of Magnetic Separationmentioning

confidence: 99%

“…The application of SEM-based image analysis data to magnetic separation was inter alia carried out by Leißner et al (2016b) [15]. The magnetic susceptibility of different minerals is one major determining parameter influencing the results of magnetic separation.…”

mentioning

confidence: 99%

Evaluation of Magnetic Separation Efficiency on a Cassiterite-Bearing Skarn Ore by Means of Integrative SEM-Based Image and XRF–XRD Data Analysis

et al. 2018

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“…In a first step, zinnwaldite is pre‐treated by multi‐stage crushing to a particle size of < 1 mm . As an advantage, the high iron content allows for the application of dry magnetic separation of zinnwaldite to separate the concentrate from the gangue.…”

Section: Technologymentioning

confidence: 99%

Lithium Extracting from Zinnwaldite: Economical Comparison of an Adapted Spodumene and a Direct‐Carbonation Process

et al. 2018

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Lithium is used in a variety of everyday objects. The most important field of application is as components of battery electrolytes and electrodes. Next to salar brines, commercial lithium production relies on mineral ore sources such as spodumene, petalite, and lepidolite. This study provides an economic comparison of two processes for the extraction of lithium from zinnwaldite concentrate, a lithium mineral that can be found along the Czech/German border at Cínovec/Zinnwald. In contrast to the state‐of‐the‐art lithium extraction from siliceous ores, which is a hydrometallurgical extraction process with sulfuric acid, the novel direct‐carbonation process is based on digestion using supercritical carbon dioxide. An assessment of the capital and operating expenditures was also carried out.

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“…In the present paper, we consider a sample which mainly comprises of the minerals zinnwaldite and quartz, though these particles can have imperfections consisting of topaz, muscovite, kaolinite and others [7] . We propose a prediction model which can characterize 3D particles from XMT based on their size, shape and grayscale values.…”

Section: Introductionmentioning

confidence: 99%

“…In the present paper, we consider a sample of milled greisen-type Li-ore which mainly comprises the minerals zinnwaldite and quartz, though these particles can have imperfections consisting of further components such as topaz, muscovite, kaolinite, and others, see Leißner et al (2016). Details on the sample preparation as well as on the analysis of the epoxy block by XMT and SEM-EDS can be found in Furat et al (2018).…”

Section: Introductionmentioning

confidence: 99%

Stochastic Modeling of Multidimensional Particle Properties Using Parametric Copulas

et al. 2019

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In this paper, prediction models are proposed which allow the mineralogical characterization of particle systems observed by X-ray micro tomography (XMT). The models are calibrated using 2D image data obtained by a combination of scanning electron microscopy and energy dispersive X-ray spectroscopy in a planar cross-section of the XMT data. To reliably distinguish between different minerals the models are based on multidimensional distributions of certain particle characteristics describing, for example, their size, shape, and texture. These multidimensional distributions are modeled using parametric Archimedean copulas which are able to describe the correlation structure of complex multidimensional distributions with only a few parameters. Furthermore, dimension reduction of the multidimensional vectors of particle characteristics is utilized to make non-parametric approaches such as the computation of distributions via kernel density estimation viable. With the help of such distributions the proposed prediction models are able to distinguish between different types of particles among the entire XMT image.

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MLA-based partition curves for magnetic separation

Cited by 46 publications

References 26 publications

Evaluation of Magnetic Separation Efficiency on a Cassiterite-Bearing Skarn Ore by Means of Integrative SEM-Based Image and XRF–XRD Data Analysis

Evaluation of Magnetic Separation Efficiency on a Cassiterite-Bearing Skarn Ore by Means of Integrative SEM-Based Image and XRF–XRD Data Analysis

Lithium Extracting from Zinnwaldite: Economical Comparison of an Adapted Spodumene and a Direct‐Carbonation Process

Stochastic Modeling of Multidimensional Particle Properties Using Parametric Copulas

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