EIT RawMaterials:Short course Automated Mineralogy
“Automated Materials Characterization” / “Automated Mineralogy” is an analytical technique based on scanning electron microscopy (SEM) image analysis coupled with energy dispersive X-ray spectroscopy (EDS).
This analysis method includes analytical systems such as the Mineral Liberation Analyzer (MLA), the QEMSCAN (Quantitative Evaluation of Minerals by Scanning Electron Microscopy) and others. With this analytical technique almost every kind of solid material can be analyzed, regardless of whether the material is of natural or artificial origin. Examples for such materials are ores, rocks, minerals, processing products, recycling materials, environmentally relevant materials, metals, alloys, building materials, special glasses, and many more.
By using “Automated Materials Characterization” technique you have the possibility to characterize your materials accurately, to detect and reduce materials losses, and to evaluate and optimize your processes. As a consequence this can save you process costs, energy costs, and production costs.