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Lishchuk, Viktor, Lund, Cecilia, Koch, Pierre-Henri, Gustafsson, Mattias, Pålsson, Bertil I. (2019) Geometallurgical characterisation of Leveäniemi iron ore – Unlocking the patterns. Minerals Engineering, 131. 325-335 doi:10.1016/j.mineng.2018.11.034

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Reference TypeJournal (article/letter/editorial)
TitleGeometallurgical characterisation of Leveäniemi iron ore – Unlocking the patterns
JournalMinerals Engineering
AuthorsLishchuk, ViktorAuthor
Lund, CeciliaAuthor
Koch, Pierre-HenriAuthor
Gustafsson, MattiasAuthor
Pålsson, Bertil I.Author
Year2019 (January)Volume131
PublisherElsevier BV
DOIdoi:10.1016/j.mineng.2018.11.034Search in ResearchGate
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Mindat Ref. ID7719783Long-form Identifiermindat:1:5:7719783:4
GUID0
Full ReferenceLishchuk, Viktor, Lund, Cecilia, Koch, Pierre-Henri, Gustafsson, Mattias, Pålsson, Bertil I. (2019) Geometallurgical characterisation of Leveäniemi iron ore – Unlocking the patterns. Minerals Engineering, 131. 325-335 doi:10.1016/j.mineng.2018.11.034
Plain TextLishchuk, Viktor, Lund, Cecilia, Koch, Pierre-Henri, Gustafsson, Mattias, Pålsson, Bertil I. (2019) Geometallurgical characterisation of Leveäniemi iron ore – Unlocking the patterns. Minerals Engineering, 131. 325-335 doi:10.1016/j.mineng.2018.11.034
In(2019) Minerals Engineering Vol. 131. Elsevier BV

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Lishchuk, Viktor, Koch, Pierre-Henri, Ghorbani, Yousef, Butcher, Alan R. (2020) Towards integrated geometallurgical approach: Critical review of current practices and future trends. Minerals Engineering, 145. 106072pp. doi:10.1016/j.mineng.2019.106072
Koch, Pierre-Henri, Lund, Cecilia, Rosenkranz, Jan (2019) Automated drill core mineralogical characterization method for texture classification and modal mineralogy estimation for geometallurgy. Minerals Engineering, 136. 99-109 doi:10.1016/j.mineng.2019.03.008
Lund, Cecilia, Lamberg, Pertti, Lindberg, Therese (2013) Practical way to quantify minerals from chemical assays at Malmberget iron ore operations – An important tool for the geometallurgical program. Minerals Engineering, 49. 7-16 doi:10.1016/j.mineng.2013.04.005
Lishchuk, Viktor, Lund, Cecilia, Ghorbani, Yousef (2019) Evaluation and comparison of different machine-learning methods to integrate sparse process data into a spatial model in geometallurgy. Minerals Engineering, 134. 156-165 doi:10.1016/j.mineng.2019.01.032
Lishchuk, Viktor, Lund, Cecilia, Lamberg, Pertti, Miroshnikova, Elena (2018) Simulation of a Mining Value Chain with a Synthetic Ore Body Model: Iron Ore Example. Minerals, 8 (11) 536 doi:10.3390/min8110536
Koch, Pierre-Henri, Rosenkranz, Jan (2020) Sequential decision-making in mining and processing based on geometallurgical inputs. Minerals Engineering, 149. 106262pp. doi:10.1016/j.mineng.2020.106262
Lund, Cecilia, Lamberg, Pertti, Lindberg, Therese (2015) Development of a geometallurgical framework to quantify mineral textures for process prediction. Minerals Engineering, 82. 61-77 doi:10.1016/j.mineng.2015.04.004
Semsari Parapari, Parisa, Parian, Mehdi, Pålsson, Bertil I., Rosenkranz, Jan (2022) Quantitative analysis of ore texture breakage characteristics affected by loading mechanism: Multivariate data analysis of particle texture parameters. Minerals Engineering, 181. 107531pp. doi:10.1016/j.mineng.2022.107531
Jonsén, Pär, Pålsson, Bertil I., Tano, Kent, Berggren, Andreas (2011) Prediction of mill structure behaviour in a tumbling mill. Minerals Engineering, 24 (3). 236-244 doi:10.1016/j.mineng.2010.08.012
Lund, C. (2013) Mineralogical, chemical and textural characterisation of the Malmberget iron ore deposit for a geometallurgical model. Doctoral Thesis, Luleå University of Technology.
Jonsén, Pär, Pålsson, Bertil I., Häggblad, Hans-Åke (2012) A novel method for full-body modelling of grinding charges in tumbling mills. Minerals Engineering, 33. 2-12 doi:10.1016/j.mineng.2012.01.017
 
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