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Outlet design optimization based on large-scale nonsmooth DEM simulation
Umeå University, Faculty of Science and Technology, Department of Physics.
Umeå University, Faculty of Science and Technology, Department of Physics.
LKAB R&D, Malmberget, Sweden.
2014 (English)In: Powder Technology, ISSN 0032-5910, E-ISSN 1873-328X, Vol. 253, 438-443 p.Article in journal (Refereed) Published
Abstract [en]

We consider the application of a nonsmooth discrete element method to geometric design optimization of a balling drum outlet used in production of iron ore balls. The geometric design optimization problem is based on the need for homogeneous flow of balls from the balling drum onto a wide belt conveyor feeding a roller screen (sieve). An outlet with two design variables is investigated and the optimal shape for the given system and production flow is found by exploring the design space with 2000 simulations.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 253, 438-443 p.
Keyword [en]
Nonsmooth discrete element method, Design optimization, Mineral processing, Balling drum
National Category
Other Physics Topics
Research subject
URN: urn:nbn:se:umu:diva-85493DOI: 10.1016/j.powtec.2013.11.046ISI: 000332430600056OAI: diva2:693896

This project was supported by LKAB, ProcessIT Innovations, UMIT Research Lab and Algoryx Simulations

Available from: 2014-02-05 Created: 2014-02-05 Last updated: 2015-10-20Bibliographically approved
In thesis
1. Accelerated granular matter simulation
Open this publication in new window or tab >>Accelerated granular matter simulation
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Accelererad simulering av granulära material
Abstract [en]

Modeling and simulation of granular matter has important applications in both natural science and industry. One widely used method is the discrete element method (DEM). It can be used for simulating granular matter in the gaseous, liquid as well as solid regime whereas alternative methods are in general applicable to only one. Discrete element analysis of large systems is, however, limited by long computational time. A number of solutions to radically improve the computational efficiency of DEM simulations are developed and analysed. These include treating the material as a nonsmooth dynamical system and methods for reducing the computational effort for solving the complementarity problem that arise from implicit treatment of the contact laws. This allow for large time-step integration and ultimately more and faster simulation studies or analysis of more complex systems. Acceleration methods that can reduce the computational complexity and degrees of freedom have been invented. These solutions are investigated in numerical experiments, validated using experimental data and applied for design exploration of iron ore pelletising systems.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2015. 14 p.
discrete element method, nonsmooth contact dynamics, multibody dynamics, granular media, simulation, projected Gauss-Seidel, validation, iron ore pellets, pelletising balling circuit, model reduction, design optimization
National Category
Other Physics Topics Computational Mathematics
urn:nbn:se:umu:diva-110164 (URN)978-91-7601-366-3 (ISBN)
Public defence
2015-11-12, Naturvetarhuset, N460, Umeå universitet, Umeå, 13:00 (English)
VINNOVA, 2014-01901

This work has been generously supported by Algoryx Simulation, LKAB (dnr 223-

2442-09), Umeå University and VINNOVA (2014-01901).

Available from: 2015-10-22 Created: 2015-10-15 Last updated: 2015-10-22Bibliographically approved

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