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Development of a protocol to determine the sorting potential of particulate ore material
The objective of this research was to develop a protocol/ methodology to determine the potential for an ore to be sorted using sensor-based sorting. The research builds upon previous methodologies in literature to determine ore sortability. The first attempt to create a standard methodology to asses...
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| Format: | Thesis |
| Language: | English |
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Department of Chemical Engineering
2016
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| _version_ | 1867613253945786368 |
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| access_status_str | Open Access |
| author | Duncan, Michael Graeme |
| author2 | Deglon, David A |
| author_browse | Deglon, David A Duncan, Michael Graeme |
| author_facet | Deglon, David A Duncan, Michael Graeme |
| author_sort | Duncan, Michael Graeme |
| collection | Thesis |
| description | The objective of this research was to develop a protocol/ methodology to determine the potential for an ore to be sorted using sensor-based sorting. The research builds upon previous methodologies in literature to determine ore sortability. The first attempt to create a standard methodology to assess the amenability of an ore to sorting at a pilot-scale was developed by Fitzpatrick (2008). Tong (2012) developed a methodology to assess the amenability of an ore to sensor-based sorting on an ideal laboratory-scale. These methodologies focus on determining the upgrading potential of an ore based on ore sorting amenability tests. In order to gain further acceptance of sorting technology in the mining industry, Lessard et al. (2015) developed a method to determine the impact of ore sorting on an operation from an economic perspective. The protocol, developed during the current research, is used to determine the potential ore sortability based, firstly, on intrinsic particle properties and, secondly, based on laboratory-scale sensor sortability tests using ideal and industrial sensor measurement parameters. The intrinsic sortability results represent the ideal/ best- case sortability if a perfect separator existed and are calculated based on particle-by-particle ore characterisation. Ore that is intrinsically sortable is further assessed based on ideal laboratory-scale sensor sort ability tests using selected sensors. Ore sorting sensors that show potential based on the ideal sensor tests are further assessed by determining the sort ability of the ore using sensor measurement parameters similar to those used on industrial-scale ore sorting machines |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/20327 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:12.104Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Chemical Engineering |
| publisherStr | Department of Chemical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/20327 Development of a protocol to determine the sorting potential of particulate ore material Duncan, Michael Graeme Deglon, David A Chemical Engineering The objective of this research was to develop a protocol/ methodology to determine the potential for an ore to be sorted using sensor-based sorting. The research builds upon previous methodologies in literature to determine ore sortability. The first attempt to create a standard methodology to assess the amenability of an ore to sorting at a pilot-scale was developed by Fitzpatrick (2008). Tong (2012) developed a methodology to assess the amenability of an ore to sensor-based sorting on an ideal laboratory-scale. These methodologies focus on determining the upgrading potential of an ore based on ore sorting amenability tests. In order to gain further acceptance of sorting technology in the mining industry, Lessard et al. (2015) developed a method to determine the impact of ore sorting on an operation from an economic perspective. The protocol, developed during the current research, is used to determine the potential ore sortability based, firstly, on intrinsic particle properties and, secondly, based on laboratory-scale sensor sortability tests using ideal and industrial sensor measurement parameters. The intrinsic sortability results represent the ideal/ best- case sortability if a perfect separator existed and are calculated based on particle-by-particle ore characterisation. Ore that is intrinsically sortable is further assessed based on ideal laboratory-scale sensor sort ability tests using selected sensors. Ore sorting sensors that show potential based on the ideal sensor tests are further assessed by determining the sort ability of the ore using sensor measurement parameters similar to those used on industrial-scale ore sorting machines 2016-07-13T07:45:57Z 2016-07-13T07:45:57Z 2016 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/20327 eng application/pdf Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Chemical Engineering Duncan, Michael Graeme Development of a protocol to determine the sorting potential of particulate ore material |
| thesis_degree_str | Master's |
| title | Development of a protocol to determine the sorting potential of particulate ore material |
| title_full | Development of a protocol to determine the sorting potential of particulate ore material |
| title_fullStr | Development of a protocol to determine the sorting potential of particulate ore material |
| title_full_unstemmed | Development of a protocol to determine the sorting potential of particulate ore material |
| title_short | Development of a protocol to determine the sorting potential of particulate ore material |
| title_sort | development of a protocol to determine the sorting potential of particulate ore material |
| topic | Chemical Engineering |
| url | http://hdl.handle.net/11427/20327 |
| work_keys_str_mv | AT duncanmichaelgraeme developmentofaprotocoltodeterminethesortingpotentialofparticulateorematerial |