In:
BHM Berg- und Hüttenmännische Monatshefte, Springer Science and Business Media LLC, Vol. 166, No. 8 ( 2021-08), p. 404-408
Kurzfassung:
Mobile crushing plants have undergone strong growth in many areas of primary and secondary raw material processing—for example in quarries for construction raw materials, industrial minerals and ores (primary) and for construction residues, slags and various composites (secondary). In recent years, the efforts of the engineers have been increasingly directed towards ever larger machines to increase the achievable throughput rates while ensuring transportability on public roads. On the part of the research partners “SBM Mineral Processing” and “Chair of Mineral Processing”, it is expected that innovations in largely autonomous crushing through digital transformation will enable a further growth booth in the international markets. For this purpose, these mobile crushing units must be equipped with intelligent and, at the same time, robust sensors and actuators as well as modern algorithms so that they can be enabled to maintain their present operating state, detect deviations, and react correctly to them in order to then be able to return to the optimal operating state. With the aggregates currently on the market, “reacting” is predominantly reserved for the machine operators, whose experience and skills have a decisive influence on the economic operation of mobile crushing plants. The campaign-like use and the associated different types of raw material to be processed with their specific crushing characteristics, as well as the current state of the art and the often insufficient understanding of the process by the machine operators, contribute to the fact that these crushing units are very often operated outside the optimal operating window for an energy- and quality-optimised plant operation. Insufficient product yield and increased maintenance and energy costs are the undesirable consequences. The survey of the state of the art and the machines on the market has shown that certain aspects of automated operation are already available in mobile crushing units (e.g. coupling the amount of raw material to be fed to the load condition), but the possibilities of autonomous crushing are still far from being achieved. There is room here for a variety of mechanical engineering, process technology and mechatronic innovations. The aim of the project is to sound out or redefine the limits of what is feasible from a technological and economic point of view for autonomous crushing (by means of a self-controlling and learning unit) and to underpin this scientifically by building a prototype with innovative sensors and actuators. Different new innovative assemblies with sensors and actuators as well as integrated control algorithms are to be tested for their suitability for use—initially under controlled conditions in the laboratory and at the pilot plant, afterwards in rough field tests.
Materialart:
Online-Ressource
ISSN:
0005-8912
,
1613-7531
DOI:
10.1007/s00501-021-01136-9
Sprache:
Deutsch
Verlag:
Springer Science and Business Media LLC
Publikationsdatum:
2021
ZDB Id:
2376950-6
SSG:
19,1
