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

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.

Grantor dc:publisher.institution

Department of Physics

Year dc:date.issued

2013

Author dc:creator

• Hromnik, Marius

Advisors dc:contributor.advisor

• Govender, Indresan
• Wheaton, Spencer

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/9813

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/9813