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A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill

Includes bibliographical references.

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Bibliographic Details
Main Author: Hromnik, Marius
Other Authors: Govender, Indresan
Format: Thesis
Language:English
Published: Department of Physics 2014
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access_status_str Open Access
author Hromnik, Marius
author2 Govender, Indresan
author_browse Govender, Indresan
Hromnik, Marius
author_facet Govender, Indresan
Hromnik, Marius
author_sort Hromnik, Marius
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9813
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:35.758Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Physics
publisherStr Department of Physics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9813 A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill Hromnik, Marius Govender, Indresan Wheaton, Spencer Includes bibliographical references. Tumbling mills have been an integral part of the comminution circuit for more than a century. With the advent of better computing, discrete element modeling (DEM) has taken on the challenge to model the dynamic particulate environment inside these devices in the search for understanding and hence improving the process of the size reduction of ore. This process represents a large percentage of the energy consumption of a mine. In this work, a discrete element modeling tool was built on a GPU-based platform to perform simulations on a single commodity hardware PC. With a view to elucidating the governing mechanisms inside such devices, the extreme capabilities of the GPU are utilised to provide performance and accurate simulation. The simulation environment offers control that can never be achieved in an experimental setup. Notwithstanding, when agreement with physical experiment is achieved, confidence can be gained in the computational results. In this work the foundations and framework for a large scale GPU based discrete element modeling tool have been built with an emphasis on strict physics requirements, rather than on performance or appearance. In this regard we demonstrate the validity of the GPU implementation of a Hertz-Mindlin-based contact model. 2014-11-28T09:56:05Z 2014-11-28T09:56:05Z 2013 Master Thesis Masters MSc http://hdl.handle.net/11427/9813 eng application/pdf Department of Physics Faculty of Science University of Cape Town
spellingShingle Hromnik, Marius
A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
thesis_degree_str Master's
title A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
title_full A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
title_fullStr A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
title_full_unstemmed A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
title_short A GPGPU implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
title_sort gpgpu implementation of the discrete element method applied to modeling the dynamic particulate environment inside a tumbling mill
url http://hdl.handle.net/11427/9813
work_keys_str_mv AT hromnikmarius agpgpuimplementationofthediscreteelementmethodappliedtomodelingthedynamicparticulateenvironmentinsideatumblingmill
AT hromnikmarius gpgpuimplementationofthediscreteelementmethodappliedtomodelingthedynamicparticulateenvironmentinsideatumblingmill