Development of a bulk ore sorting model for sortability assessment. (September 2019)
- Record Type:
- Journal Article
- Title:
- Development of a bulk ore sorting model for sortability assessment. (September 2019)
- Main Title:
- Development of a bulk ore sorting model for sortability assessment
- Authors:
- Li, Genzhuang
Klein, Bern
Sun, Chunbao
Kou, Jue
Yu, Lei - Abstract:
- Highlights: A bulk ore sorting model was developed for sortability assessment. Metal distribution within ore deposits was recognized as a fractal structure. The optimum cut-off grade was determined based on model calculations. Abstract: Bulk ore sorting (BOS) has the potential to reduce processing costs and improve mine economics. A factor that impedes its acceptance is the lack of a method to assess ore amenability to sorting. In this study, a fractal model of metal distribution was used to assess an ore's bulk sortability. A BOS model was developed where metal distribution properties were characterised, optimum cut-off grade for sorter operation was determined, and economic potential of BOS was evaluated. For the developed model, the metal distribution within the ore deposits was recognised as a fractal structure. Two parameters were introduced, namely the grade factor and fractal dimension, to quantitatively characterise ore properties in terms of grade magnitude and heterogeneity. The mass balance of the sorter operation was modelled as a function of the characterised ore properties and the optimum cut-off grade was determined based on model calculations. The economic potential of BOS was evaluated in terms of the net smelter return and compared with that when no BOS was implemented. Based on the developed model, the bulk ore sortability of different ore properties was assessed with a hypothetical underground copper mine. The developed BOS model provided a powerful toolHighlights: A bulk ore sorting model was developed for sortability assessment. Metal distribution within ore deposits was recognized as a fractal structure. The optimum cut-off grade was determined based on model calculations. Abstract: Bulk ore sorting (BOS) has the potential to reduce processing costs and improve mine economics. A factor that impedes its acceptance is the lack of a method to assess ore amenability to sorting. In this study, a fractal model of metal distribution was used to assess an ore's bulk sortability. A BOS model was developed where metal distribution properties were characterised, optimum cut-off grade for sorter operation was determined, and economic potential of BOS was evaluated. For the developed model, the metal distribution within the ore deposits was recognised as a fractal structure. Two parameters were introduced, namely the grade factor and fractal dimension, to quantitatively characterise ore properties in terms of grade magnitude and heterogeneity. The mass balance of the sorter operation was modelled as a function of the characterised ore properties and the optimum cut-off grade was determined based on model calculations. The economic potential of BOS was evaluated in terms of the net smelter return and compared with that when no BOS was implemented. Based on the developed model, the bulk ore sortability of different ore properties was assessed with a hypothetical underground copper mine. The developed BOS model provided a powerful tool for ore sortability assessment and is expected to encourage academic research and industrial practices of BOS. … (more)
- Is Part Of:
- Minerals engineering. Volume 141(2019)
- Journal:
- Minerals engineering
- Issue:
- Volume 141(2019)
- Issue Display:
- Volume 141, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 141
- Issue:
- 2019
- Issue Sort Value:
- 2019-0141-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-09
- Subjects:
- Bulk ore sorting -- Ore-grade heterogeneity -- Cut-off grade -- Fractal dimension -- Mine economics
Mines and mineral resources -- Periodicals
Ressources minérales -- Périodiques
Mines and mineral resources
Periodicals
Electronic journals
622 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08926875 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.mineng.2019.105856 ↗
- Languages:
- English
- ISSNs:
- 0892-6875
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5790.678000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11348.xml