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Optimizing crushing plant performance using a dynamic simulation

Dissertation (MEng (Metallurgical Engineering))--University of Pretoria, 2007.

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Other Authors: Sandenbergh, R.F.
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Sandenbergh, R.F.
author_browse Sandenbergh, R.F.
author_facet Sandenbergh, R.F.
collection Thesis
dc_rights_str_mv © 1994, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Metallurgical Engineering))--University of Pretoria, 2007.
format Thesis
id oai:repository.up.ac.za:2263/30595
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:46.059Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/30595 Optimizing crushing plant performance using a dynamic simulation Sandenbergh, R.F. upetd@ais.up.ac.za Du Plessis, Ian No key words available UCTD Dissertation (MEng (Metallurgical Engineering))--University of Pretoria, 2007. The primary crushing circuit at Premier Diamond Mine was simulated to improve operating costs and diamond recovery. Due to surges in certain feed streams a dynamic simulation was done. The applicability of the general-purpose simulator, Siman 4, for simulating a metallurgical plant is evaluated in this work. Due to the constraints of a discrete dynamic simulation the streams of material had to be divided into streams of entities (1 ton, 10 ton blocks of material) each with its own attributes. Because of these constraints the screen model, which is based on the model of Karra, and the crusher model, which is based on the Simon-Whiten model, had to be mathematically manipulated to allow the size distributions to be described by two attributes. These adjusted models were tested by comparing them with the plant data. After satisfactory validation of the plant model, it was used to predict alternatives plant operations. This included different screen aperture sizes, closed side settings for the crushers, tonnages and operating practices for the shuttle conveyor. The success of this method of simulation indicates that it could be used to simulate other metallurgical plants. This means that mining companies that have already invested in general-purpose simulators can use them to simulate their metallurgical operations. Materials Science and Metallurgical Engineering unrestricted 2013-09-07T19:23:27Z 2006-01-11 2013-09-07T19:23:27Z 1994-08-01 2007-01-11 2006-01-11 Dissertation Du Plessis, I 1994, Optimizing crushing plant performance using a dynamic simulation, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/30595 > http://hdl.handle.net/2263/30595 http://upetd.up.ac.za/thesis/available/etd-01112006-090928/ © 1994, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle No key words available
UCTD
Optimizing crushing plant performance using a dynamic simulation
title Optimizing crushing plant performance using a dynamic simulation
title_full Optimizing crushing plant performance using a dynamic simulation
title_fullStr Optimizing crushing plant performance using a dynamic simulation
title_full_unstemmed Optimizing crushing plant performance using a dynamic simulation
title_short Optimizing crushing plant performance using a dynamic simulation
title_sort optimizing crushing plant performance using a dynamic simulation
topic No key words available
UCTD
url http://hdl.handle.net/2263/30595
http://upetd.up.ac.za/thesis/available/etd-01112006-090928/