• Medientyp: E-Artikel
  • Titel: Viable Applications of Sensor‐Based Sorting for the Processing of Mineral Resources
  • Beteiligte: Knapp, Henning; Neubert, Kilian; Schropp, Christian; Wotruba, Hermann
  • Erschienen: Wiley, 2014
  • Erschienen in: ChemBioEng Reviews
  • Umfang: 86-95
  • Sprache: Englisch
  • DOI: 10.1002/cben.201400011
  • ISSN: 2196-9744
  • Schlagwörter: Industrial and Manufacturing Engineering ; Filtration and Separation ; Process Chemistry and Technology ; Biochemistry ; Chemical Engineering (miscellaneous) ; Bioengineering
  • Zusammenfassung: <jats:title>Abstract</jats:title><jats:p>The current development in the primary raw materials sector shows that the mining industry has to face a situation of declining ore grades and increasingly complicated ore types. To efficiently and sustainably exploit and process such ores, new innovative approaches are required. Sensor‐based sorting is one feasible option to address these challenges. The following article describes the general principles and uses of sensor‐based sorting. In addition, this paper gives examples of current research activities and depicts the practical potential of sensor‐based sorting in the minerals industry.</jats:p>
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>The current development in the primary raw materials sector shows that the mining industry has to face a situation of declining ore grades and increasingly complicated ore types. To efficiently and sustainably exploit and process such ores, new innovative approaches are required. Sensor‐based sorting is one feasible option to address these challenges. The following article describes the general principles and uses of sensor‐based sorting. In addition, this paper gives examples of current research activities and depicts the practical potential of sensor‐based sorting in the minerals industry.</jats:p>
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