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Analysis of the concentration in rare metal ores during compression crushing
Dept. of Industrial and Materials Science, Chalmers University of Technology.
Dept. of Industrial and Materials Science, Chalmers University of Technology.ORCID iD: 0000-0002-3283-067x
Dept. of Industrial and Materials Science, Chalmers University of Technology.
2018 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 120, p. 7-18Article in journal (Refereed) Published
Sustainable development
In my opinion, the content of this publication falls within the area of sustainable development.
Abstract [en]

Given the increasing global demand for rare metals, there is a need for the development of fundamental predictive models to improve extraction processes. Comminution models commonly predict particle size reduction based on the compressive breakage behaviour; however, few of them include mineral concentration or mineral liberation at a coarse scale. This paper focuses on developing a model to predict the mineral concentration of rare metals as a function of the particle size distribution after a cycle of the compression crushing process. In this study, compressive breakage and geochemical analysis experiments were conducted on four different rare metal ores of tantalum and tungsten. The work is divided into two stages: the methodology of modelling particle size and modelling concentration by selecting a bimodal Weibull distribution for calibration. A novel model for simulating the concentration of rare metals as a function of the compression ratio is presented.

Place, publisher, year, edition, pages
2018. Vol. 120, p. 7-18
Keywords [en]
Compression crushing, Rare metals, Element concentration analysis, Concentration modelling, Weibull analysis, Critical metals
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:hb:diva-14932DOI: 10.1016/j.mineng.2018.01.041ISI: 000430901200002Scopus ID: 2-s2.0-85042194909OAI: oai:DiVA.org:hb-14932DiVA, id: diva2:1237878
Available from: 2018-08-10 Created: 2018-08-10 Last updated: 2018-08-10Bibliographically approved

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Publisher's full textScopushttps://research.chalmers.se/publication/500734

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Bengtsson, Magnus

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