Magnetic suscptibility classes of WEEE slag and Norra Kärr Ore
Contributing person | Dr.-Ing Thomas Leißner | |
Contributing person | Prof. Urs A. Peuker | |
References to related material | Atanasova P, Marks MAW, Heinig T, Krause J, Gutzmer J, Markl G. Distinguishing Magmatic and Metamorphic Processes in Peralkaline Rocks of the Norra Kärr Complex (Southern Sweden) Using Textural and Compositional Variations of Clinopyroxene and Eudialyte-group Minerals. J Petrology 2017;58(2):361–84. https://doi.org/10.1093/petrology/egx019. | |
References to related material | Buchmann M, Borowski N, Leißner T, Heinig T, Reuter MA, Friedrich B et al. Evaluation of Recyclability of a WEEE Slag by Means of Integrative X-Ray Computer Tomography and SEM-Based Image Analysis. Minerals 2020;10(4):309. https://doi.org/10.3390/min10040309. | |
References to related material | Leißner T, Bachmann K, Gutzmer J, Peuker UA. MLA-based partition curves for magnetic separation. Minerals Engineering 2016;94:94–103. https://doi.org/10.1016/j.mineng.2016.05.015. | |
References to related material | Siddique A, Boelens P, Long F, Zhou S, Cnudde V, Leißner T. Characterization of Magnetic and Mineralogical Properties of Slag Particles from WEEE Processing. Minerals 2023;13(11):1417. https://doi.org/10.3390/min13111417. | |
Type of the data | Dataset | |
Type of the data | Text | |
Total size of the dataset | 2531468690 | |
Author | Siddique, Asim | |
Author | Leißner, Thomas | |
Upload date | 2026-02-17T08:39:10Z | |
Publication date | 2026-02-17T08:39:10Z | |
Publication date | 2026-02-17 | |
Abstract of the dataset | This dataset contains particle-scale mineralogical and magnetic characterization data of particulate materials relevant to magnetic separation in mineral processing. It was developed to enable quantitative assessment of magnetic susceptibility variability at both class and particle scales and to support geometallurgical analysis of separation behavior. The dataset integrates experimental magnetic classification, bulk magnetic susceptibility measurements, and SEM-based automated mineralogical analysis. The data were generated from two contrasting material systems: a natural ore (Norra Kärr) and a secondary resource derived from Waste of Electrical and Electronic Equipment (WEEE) slag. For the natural ore, two particle size fractions were investigated (500–1000 µm and 125–250 µm), while for the WEEE slag a finer particle size fraction (63–100 µm) was analyzed. This combination of materials and size fractions allows evaluation of magnetic heterogeneity across different mineralogical complexities and processing-relevant conditions. Components of the Dataset Magnetic Susceptibility Classification Data: • Particles were separated into discrete magnetic susceptibility classes using a Frantz Isodynamic Separator by systematically varying the applied magnetic field strength under controlled chute conditions. • Each susceptibility class represents a population of particles with comparable magnetic response. Bulk Magnetic Susceptibility Measurements: • For each magnetic susceptibility class, bulk magnetic susceptibility was measured using a magnetic susceptibility balance. • Multiple sub-samples and repeated measurements were performed per class to improve representativity and reduce measurement uncertainty. • The resulting values provide class-average magnetic susceptibility used as reference data. SEM-Based Automated Mineralogy (MLA) Data: • Quantitative mineralogical characterization of each magnetic susceptibility class was performed using Mineral Liberation Analysis (MLA). • The data include modal mineral phase proportions for each susceptibility class. • Particle-by-particle mineralogical compositions were extracted, providing phase fractions and mineral associations at the individual particle scale. Metadata and Experimental Context: • The dataset includes metadata describing particle size fractions, magnetic separation conditions, measurement procedures, and material context. • This information enables reproducibility and supports reuse of the data in comparative or methodological studies. The dataset enables analysis of relationships between mineralogical composition and magnetic response, estimation of particle-scale magnetic susceptibility, and assessment of magnetic heterogeneity in mineral feeds. It is suitable for applications in magnetic separation studies, geometallurgical analysis, particle-based mineral processing research, and the development or validation of data-driven characterization methods. Users should note that MLA-derived mineralogical data are based on two-dimensional polished sections and may be subject to stereological effects. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2050 | |
Public reference to this page | https://doi.org/10.25532/OPARA-1093 | |
Publisher | Technische Universität Bergakademie Freiberg | |
Licence | Attribution-ShareAlike 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by-sa/4.0/ | |
Specification of the discipline(s) | 3::34::316 | |
Title of the dataset | Magnetic suscptibility classes of WEEE slag and Norra Kärr Ore | |
Project abstract | This project provides quantitative mineralogical and magnetic susceptibility data to support particle-scale characterization of magnetic separation behavior in mineral processing. The dataset combines experimental magnetic classification, bulk magnetic susceptibility measurements, and SEM-based automated mineralogy to enable analysis of magnetic heterogeneity at both class and particle scales. Particulate materials from two contrasting systems (a natural ore and a secondary resource) were separated into discrete magnetic susceptibility classes using a Frantz Isodynamic Separator under controlled conditions. For each class, bulk magnetic susceptibility was measured, and mineralogical compositions were quantified using Mineral Liberation Analysis (MLA). The resulting dataset establishes a direct link between measured magnetic susceptibility and mineralogical composition, providing a basis for particle-scale susceptibility estimation and geometallurgical assessment. The data are intended for reuse in studies related to magnetic separation, particle-based mineral processing, geometallurgy, and data-driven analysis of separation-relevant physical properties. | |
Funding Acknowledgement | This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in the priority program 2315 “Engineered artificial minerals (EnAM) — A geo-metallurgical tool to recycle critical elements from waste streams” with grant number 470202518. | |
Public project website(s) | https://tu-freiberg.de/fakult4/mvtat/spp-2315-enam | |
Project title | Particle-scale magnetic susceptibility estimation for optimized magnetic separation and critical mineral recovery |
Files
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 3.86 KB
- Format:
- Item-specific license agreed to upon submission
- Description:
Collections
