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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Gaydardzhiev, Stoyan
General Electric (Finland)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Solvent extraction of Ta and Nb from oxalic leahcates: a novel technique of colombo-tantalite ores processsing
- 2020A review on extractive metallurgy of tantalum and niobiumcitations
- 2020Characterisation and recovery of non-ferrous metals met in a copper-slag processed by flotation
- 2019Effects of operational parameters on the bio-assisted leaching of metals from pyrolyzed printed circuit boards
- 2019HSC SIM® simulation model of the Assarel copper flotation circuit based on process mineralogy and metallurgical testing
- 2014Characterization of printed circuit boards from scrap printers
- 2014Insights upon the adsorption mechanism of KAX on malachite
- 2008Dip-coating of fibrous natural materials for alumina tube manufacturingcitations
- 2008Fibrous natural materials for ceramic processing
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document
HSC SIM® simulation model of the Assarel copper flotation circuit based on process mineralogy and metallurgical testing
Abstract
<p>The process modeling and simulation studies aim for better process operation and favorable environmental impact. The objective of this work is to set up a simulation model of the Assarel copper flotation circuit for planning and optimization of the process with the aim of increased metal recovery. The model is parameterized based on laboratory flotation tests of ore samples from the Assarel mine together with mineralogical studies by X-ray diffraction (XRD) and Mineral Liberation Analysis (MLA). A combination of several techniques allows reliable identification of mineralogical composition of the selected samples. The changes in the proportion between sulfide minerals in various products along the circuit have been also documented. Further, this information is used in the simulation model and in data reconciliation procedures for establishing mass balance. The simulation accuracy is studied by comparing the simulations with the plant survey based mass balance. Constructed simulation model can be used to run alternative process scenarios. As an example, the flotation circuit performance with different reagent regimes is simulated based on data from batch flotation tests. Two reagents were considered for this purpose, dithiocarbamate-based one and xanthogen formate/mercaptan blend. It has been revealed that these reagents do not have the same influence on the selective flotation. The one improves flotation of gold and overall recovery but without notable selective action. In contrast, the other showed better selectivity towards copper, rejecting more gangue and lowering gold recovery. The model is also applicable for process optimization studies with different feed compositions, flowrates and circuit configurations.</p>