Modelling of Particle Behaviour during Mineral Processing

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Processing and Extractive Metallurgy".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1142

Special Issue Editors


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Guest Editor
Centre for Minerals Research, University of Cape Town, Cape Town 7700, South Africa
Interests: comminution; classification; computational modelling (DEM, CFD, FEM, SPH); positron emission particle tracking

E-Mail Website
Guest Editor
Centre for Minerals Research, University of Cape Town, Cape Town 7700, South Africa
Interests: comminution; classification; computational modelling (DEM, CFD, SPH); positron emission particle tracking

E-Mail Website
Guest Editor
Department of Mining Engineering, Hacettep University, Beytepe 06800, Ankara, Turkey
Interests: high-pressure comminution; fine screening; cement grinding; comminution circuit design and modelling

Special Issue Information

Dear Colleagues,

The modelling particle behaviour of mineral processing can be determined using numerical or empirical simulation methods. The modelling of the operations that are used to liberate valuable minerals from bulk material for industrial applications is largely limited to empirical, data-driven models. These methods have the value of identifying challenges and determining their solutions using empirical evidence. However, they do not provide insights into the fundamental underlying mechanisms that result in the observed deficiencies or why certain solution paths succeed. For this reason, the use of modelling techniques, such as the discrete element method, computational fluid dynamics, X-ray tomography and positron emission particle tracking, has gained traction in mineral processing in recent years. This Special Issue will contain studies that focus on particle modelling by both empirical and numerical methods to provide a well-rounded overview of this important subject in the field of mineral processing.

Prof. Dr. Aubrey Mainza
Dr. Sherry Bremner
Dr. Hakan Dündar
Guest Editors

Manuscript Submission Information

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Keywords

  • particle tracking
  • simulation
  • modelling
  • empirical modelling
  • computational modelling
  • mineral processing

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Published Papers (1 paper)

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Research

23 pages, 6810 KiB  
Article
Fit-for-Purpose Model of HP500 Cone Crusher in Size Reduction of Itabirite Iron Ore
by Brena Karolyne Nunes da Rocha, Túlio Moreira Campos, Júlio Silva and Luís Marcelo Tavares
Minerals 2024, 14(9), 919; https://doi.org/10.3390/min14090919 - 7 Sep 2024
Viewed by 705
Abstract
Cone crushers have a central role in the processing of quarry rocks, besides coarser ore preparation in several mineral processing plants. This is particularly true in the case of Itabirite iron ore preparation plants in Brazil, so optimizing their performance is of central [...] Read more.
Cone crushers have a central role in the processing of quarry rocks, besides coarser ore preparation in several mineral processing plants. This is particularly true in the case of Itabirite iron ore preparation plants in Brazil, so optimizing their performance is of central importance for reaching maximum productivity of the circuit. The work presents results of modeling the HP500 cone crusher in operation in an industrial plant in Brazil (Minas Rio), from surveys carried out over a few years with different feeds and crushing conditions. A version of the Andersen–Whiten cone crusher model was implemented in the Integrated Extraction Simulator featuring a non-normalizable breakage response and a fit-for-purpose throughput model. The results demonstrate the good ability of the model to predict crusher performance when dealing with different closed-side settings and feed size distributions. Full article
(This article belongs to the Special Issue Modelling of Particle Behaviour during Mineral Processing)
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