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A Stokesian Dynamics Approach for Simulation of Magnetic Particle Suspensions
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
Åbo Akademi University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
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2016 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 90, no SI , p. 70-76Article in journal (Refereed) Published
Abstract [en]

The dynamic behaviour of μm-scale ferromagnetic particles in suspension is of interest for various mineral beneficiation processes. It is, however, difficult to experimentally study such processes at the particle-level. In these instances it can be advantageous to resort to suitable particle simulation methods.Stokesian dynamics is a mesh-free numerical technique developed for suspensions of nm to mm size particles. The method inherently considers hydrodynamic interactions, but additional interaction models can be included depending on the system under investigation. We here present a Stokesian dynamics (SD) implementation, which allows for simulation of the motion of suspended magnetic particles in presence of an external magnetic field. The magnetic interaction model includes particle-field interactions as well as pairwise interactions between magnetised particles.Simulations are compared with experiments using a laboratory-scale flow cell. The method is shown to be realistic for studying ferromagnetic suspensions in mineral processing applications, and can be useful in understanding and predicting the efficiency of mineral separation processes.

Place, publisher, year, edition, pages
2016. Vol. 90, no SI , p. 70-76
National Category
Metallurgy and Metallic Materials Signal Processing
Research subject
Mineral Processing; Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-27464DOI: 10.1016/j.mineng.2015.10.015ISI: 000375169200007Scopus ID: 2-s2.0-84960865330Local ID: 0eda3225-823b-4369-91a2-78b07835122bOAI: oai:DiVA.org:ltu-27464DiVA, id: diva2:1000648
Conference
Computational Modelling '15 : 08/06/2015 - 10/06/2015
Note
Validerad; 2016; Nivå 1; 20151102 (andbra); Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Sand, AndersStener, JanCarlson, JohanPålsson, Bertil

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