A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills
The Julius Kruttschnitt Mineral Research Centre (JKMRC) has been involved in the study and modelling of industrial autogenous (AG) and semi-autogenous (SAG) mills for over 25 years. Recent research at the JKMRC has developed a new AG/SAG mill...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Hosokawa Powder Technology Foundation
2014-03-01
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| Series: | KONA Powder and Particle Journal |
| Online Access: | https://www.jstage.jst.go.jp/article/kona/20/0/20_2002023/_pdf/-char/en |
| _version_ | 1818360651636015104 |
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| author | Homero Delboni Jr. Steve Morrell |
| author_facet | Homero Delboni Jr. Steve Morrell |
| author_sort | Homero Delboni Jr. |
| collection | DOAJ |
| description | The Julius Kruttschnitt Mineral Research Centre (JKMRC) has been involved in the study and modelling of industrial autogenous (AG) and semi-autogenous (SAG) mills for over 25 years. Recent research at the JKMRC has developed a new AG/SAG mill model which is based on charge dynamics. The model relates charge motion and composition to power draw and size reduction. Size reduction is described by considering impact and attrition/abrasion as separate processes. These are linked to energy available in the mill, the charge size distribution and the relative motion of the grinding media. Ore specific energy-breakage are described using laboratory data which are obtained from breakage tests over a wide range of energies and particle sizes. Slurry transport is described using the JKMRC’s latest model which incorporates the effect of grate design. This paper describes the overall structure of the model together with its main sub-processes. |
| first_indexed | 2024-12-13T21:04:11Z |
| format | Article |
| id | doaj.art-e53bb0a818cc4646b54672265af9a37a |
| institution | Directory Open Access Journal |
| issn | 0288-4534 2187-5537 |
| language | English |
| last_indexed | 2024-12-13T21:04:11Z |
| publishDate | 2014-03-01 |
| publisher | Hosokawa Powder Technology Foundation |
| record_format | Article |
| series | KONA Powder and Particle Journal |
| spelling | doaj.art-e53bb0a818cc4646b54672265af9a37a2022-12-21T23:31:31ZengHosokawa Powder Technology FoundationKONA Powder and Particle Journal0288-45342187-55372014-03-0120020822210.14356/kona.2002023konaA Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous MillsHomero Delboni Jr.0Steve Morrell1Dept. of Mining and Petroleum Engineering, University of São PauloJulius Kruttschnitt Mineral Research Centre, University of QueenslandThe Julius Kruttschnitt Mineral Research Centre (JKMRC) has been involved in the study and modelling of industrial autogenous (AG) and semi-autogenous (SAG) mills for over 25 years. Recent research at the JKMRC has developed a new AG/SAG mill model which is based on charge dynamics. The model relates charge motion and composition to power draw and size reduction. Size reduction is described by considering impact and attrition/abrasion as separate processes. These are linked to energy available in the mill, the charge size distribution and the relative motion of the grinding media. Ore specific energy-breakage are described using laboratory data which are obtained from breakage tests over a wide range of energies and particle sizes. Slurry transport is described using the JKMRC’s latest model which incorporates the effect of grate design. This paper describes the overall structure of the model together with its main sub-processes.https://www.jstage.jst.go.jp/article/kona/20/0/20_2002023/_pdf/-char/en |
| spellingShingle | Homero Delboni Jr. Steve Morrell A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills KONA Powder and Particle Journal |
| title | A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills |
| title_full | A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills |
| title_fullStr | A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills |
| title_full_unstemmed | A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills |
| title_short | A Load-Interactive Model for Predicting the Performance of Autogenous and Semi-Autogenous Mills |
| title_sort | load interactive model for predicting the performance of autogenous and semi autogenous mills |
| url | https://www.jstage.jst.go.jp/article/kona/20/0/20_2002023/_pdf/-char/en |
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