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Testing the robustness of particle-based separation models for the magnetic separation of a complex skarn ore

International Journal of Mining Science and Technology 2022年第3期32卷 645-655页

作者： Lucas Pereira Max Frenzel Markus Buchmann Marius Kern Raimon Tolosana-Delgado K.Gerald van den Boogaart Jens Gutzmer Hemholtz-Zentrum Dresden-Rossendorf Helmholtz Institute Freiberg for Resource Technology09599 FreibergGermany German Aerospace Center Institute of Low-Carbon Industrial Processes03046 CottbusGermany TU Bergakademie Freiberg Institute for Stochastics09599 FreibergGermany

Physical separation processes are best understood in terms of the behaviour of individual ore ***,while different empirical particle-based separation modelling approaches have been developed,their predictive performance has never been tested under variable process ***,we investigated the predictive performance of a state-of-the-art particle-based separation model under variable feed composition for a laboratory-scale magnetic separation of a skarn *** scenarios were investigated:one in which the mass flow of the different processing streams could be measured and one in which it had to be estimated from *** both scenarios,the predictive models were sufficiently general to predict the process outcomes of new samples of variable ***,the scenario in which mass flow could be measured was4%more precise in predicting mass *** process behaviour of minerals present at concentrations above 0.1%by weight could be accurately *** findings indicate the potential use of this method to minimize the costs of metallurgical testwork while providing in-depth understanding of the recovery behaviour of individual ore ***,the method may be used to establish powerful tools to forecast mineral recoveries for partly new ore types at a running mining operation.

关键词： Metallurgical tests Particle-based separation modelling Magnetic separation cassiterite recovery

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