On-line monitoring of hydrocyclones by use of image analysis
Hydrocyclones are widely applied in both chemical and mineral processing industries. Despiteits simple design, the flow behaviour that governs separation within the device is quite complex andtherefore difficult to control. Overall process efficiency, together with economics, promotes thedevelopment...
| Main Authors: | , , , |
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| Format: | Conference Paper |
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Elsevier
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/10110 |
| _version_ | 1848746141966925824 |
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| author | van Vuuren, J. Aldrich, Chris Bezuidenhoudt, C. De Jager, C. |
| author2 | Janse van Vuuren M J |
| author_facet | Janse van Vuuren M J van Vuuren, J. Aldrich, Chris Bezuidenhoudt, C. De Jager, C. |
| author_sort | van Vuuren, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Hydrocyclones are widely applied in both chemical and mineral processing industries. Despiteits simple design, the flow behaviour that governs separation within the device is quite complex andtherefore difficult to control. Overall process efficiency, together with economics, promotes thedevelopment of an effective monitoring technique. In the past, numerous techniques have been tried, with varied success, but none have found broad adoption yet. The reasons for this are that the techniques lack robustness, while others are intrusive to the process or completely uneconomical.Previous work has indicated that there exists a relationship between the underflow and the operating state of a hydrocyclone, which could be exploited for monitoring purposes. In view of this, the use of image analysis of the underflow is evaluated as an on-line monitoring technique.Underflow widths are determined from video recordings of two different data sets: gold ore and PGM(Platinum Group Metals) ore. Time series analysis of the data indicates identifiable clusters which relateto normal operating conditions as well as troublesome states like roping and blocking. Groups ofscattered clusters further correspond to the oscillatory behaviour experienced during the transition fromnormal to roping (or blocking). The predictive potential of the gold ore data set was also investigated, and suggests that the technique can be used to forecast the onset of such troublesome states. |
| first_indexed | 2025-11-14T06:28:33Z |
| format | Conference Paper |
| id | curtin-20.500.11937-10110 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:28:33Z |
| publishDate | 2010 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-101102022-12-09T07:12:36Z On-line monitoring of hydrocyclones by use of image analysis van Vuuren, J. Aldrich, Chris Bezuidenhoudt, C. De Jager, C. Janse van Vuuren M J Aldrich C Auret L Bezuidenhudt C De Jager C hydrocyclone time series analysis underflow image analysis on-line monitoring Hydrocyclones are widely applied in both chemical and mineral processing industries. Despiteits simple design, the flow behaviour that governs separation within the device is quite complex andtherefore difficult to control. Overall process efficiency, together with economics, promotes thedevelopment of an effective monitoring technique. In the past, numerous techniques have been tried, with varied success, but none have found broad adoption yet. The reasons for this are that the techniques lack robustness, while others are intrusive to the process or completely uneconomical.Previous work has indicated that there exists a relationship between the underflow and the operating state of a hydrocyclone, which could be exploited for monitoring purposes. In view of this, the use of image analysis of the underflow is evaluated as an on-line monitoring technique.Underflow widths are determined from video recordings of two different data sets: gold ore and PGM(Platinum Group Metals) ore. Time series analysis of the data indicates identifiable clusters which relateto normal operating conditions as well as troublesome states like roping and blocking. Groups ofscattered clusters further correspond to the oscillatory behaviour experienced during the transition fromnormal to roping (or blocking). The predictive potential of the gold ore data set was also investigated, and suggests that the technique can be used to forecast the onset of such troublesome states. 2010 Conference Paper http://hdl.handle.net/20.500.11937/10110 Elsevier restricted |
| spellingShingle | hydrocyclone time series analysis underflow image analysis on-line monitoring van Vuuren, J. Aldrich, Chris Bezuidenhoudt, C. De Jager, C. On-line monitoring of hydrocyclones by use of image analysis |
| title | On-line monitoring of hydrocyclones by use of image analysis |
| title_full | On-line monitoring of hydrocyclones by use of image analysis |
| title_fullStr | On-line monitoring of hydrocyclones by use of image analysis |
| title_full_unstemmed | On-line monitoring of hydrocyclones by use of image analysis |
| title_short | On-line monitoring of hydrocyclones by use of image analysis |
| title_sort | on-line monitoring of hydrocyclones by use of image analysis |
| topic | hydrocyclone time series analysis underflow image analysis on-line monitoring |
| url | http://hdl.handle.net/20.500.11937/10110 |