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Conference Proceedings

Critical Minerals Conference Proceeding 2025

Conference Proceedings

Critical Minerals Conference Proceeding 2025

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Automated characterisation and assessment for critical raw materials processing

The transition to green energy relies on technologies demanding a wide range of critical raw materials (CRMs). In Europe, geopolitical conflicts have amplified the need for domestic sourcing. To support efficient extraction and diversification of the CRM sources as well as the reduction of mining and processing waste, a software tool is being developed in the Geological Survey of Finland as part of the REPower-CEST project funded by the European Union's Recovery and Resilience Facility. The tool provides automated analysis, visualisation, and reporting of the CRMs for energy transition in ore samples, mineral processing waste, or tailings samples. The general use case involves feeding automated mineralogy (aM) and chemical assay data to the software to facilitate answering questions related to the characteristics of the material under study and its potential applications. Most of the analytics offered by the software rely on processing Microsoft access databases containing automated mineralogy analysis data of the material under study. These include information about the minerals, their properties and elemental compositions, with detailed characteristics of particles and grains. In addition, the software can import chemical assay data in Microsoft Excel format to perform data reconciliation between mineral composition data from bulk chemical assay and the elemental composition data from aM. The software combines the data sets with an embedded database of mineral properties and mineral processing information to produce a repeatable and systematic identification and visualisation of the potential utilisation of minerals. This comprehensive data integration enables characterisation of materials, assessment of applications and value, determination of processability, and evaluation of health and environmental risks. The software significantly accelerates sample analysis while reducing error-prone manual operations. The results can be used to produce estimates of the potential value of minerals and metals for the clean energy transition.
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  • Automated characterisation and assessment for critical raw materials processing
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  • Published: 2025
  • Pages: 2
  • PDF Size: 0.097 Mb.
  • Unique ID: P-04673-W2T9Y3

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