Mineral Processing is a research dicipline concerning the process of various solid rock materials such as ores, industrial minerals, aggregates and coal, but also secondary materials falling from industrial processes and from waste recycling.
Here at Luleå University of playing the utilization of ores and production of industrial minerals play a key role in teaching and research because of its proximity to the strong mining industry and its surroundings in northern Sweden.
Research is directed towards both the unit operations of mineral engineering processes. Grinding with different methods and flotation of sulfide minerals and industrial minerals are important research areas. Surface Chemistry studies are of central importance. Magnetic separation at high intensity, use of industrial minerals in various products, and recycling are other important areas.
General principle, the substance of research activities both material oriented as well as process-related. Since it is an engineering topic is characterized mineral technology of its close links with applications that have industrial relevance. Therefore powered substance development of applied research, using results from basic research. The research is both experimental and theoretical.
In order to do experimental studies on isolated processes, but also for the combination of processes, the laboratory well equipped with a device in the pilot and bench scale for all unit operations essential for mineral processes (such as various milling equipment, miscellaneous equipment for physical separation). Furthermore, there are excellent opportunities for particle analysis and chemical and mineralogical analysis. The equipment is used not only for research but is also used in teaching the subject. In investigations on an industrial scale is sampled in the processes for subsequent processing in the laboratory.
The theoretical research aims to provide physical descriptions of mineral processing unit operations in the form of process models. In addition thereto, the models allow prediction of the outcome even if the invariable (material flow, control and design parameters) is changed. The creation and application of methods for process design and their optimization is second, system-oriented research data.