MLA is an automated material characterization technique based on scanning electron microscopy (SEM) image analysis coupled with energy dispersive X-ray spectroscopy. With this analysis 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 may include ores, rocks, minerals, processing products, recycling materials, environmentally relevant materials, metals, alloys, building materials, special glasses, and many more. By using MLA 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.
The course has the following objectives and outcomes:
The course is a combination of classroom lectures, a MLA lab session and practical sessions
If your business is mineral exploration, mining, processing, beneficiation, aggregates industries, metal industry, special glass industry, environmental business, or oil & gas this course will valuable for you.