Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent
This study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated ore and the velocity at which ore particles mov...
| Published in: | Applied Sciences |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/6/2612 |
| _version_ | 1850123502979383296 |
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| author | Piotr Bortnowski Robert Król Natalia Suchorab-Matuszewska Maksymilian Ozdoba Mateusz Szczerbakowicz |
| author_facet | Piotr Bortnowski Robert Król Natalia Suchorab-Matuszewska Maksymilian Ozdoba Mateusz Szczerbakowicz |
| author_sort | Piotr Bortnowski |
| collection | DOAJ |
| container_title | Applied Sciences |
| description | This study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated ore and the velocity at which ore particles move. By altering design and operational parameters, the objective is to decrease wear at key points such as transfer areas, thereby improving the efficiency and service life of retention bunkers. A Discrete Element Method (DEM) model of the bin was created and validated against actual mining conditions to study the impact of material flow on wear. The optimization approach used a constrained gradient descent algorithm to minimize factors like particle velocity and pressure force, while maintaining the efficiency of the bin. The findings provide valuable insights for the future design enhancements, potentially improving the operational performance of retention bunkers in the mining industry. |
| format | Article |
| id | doaj-art-edcf94de95c1411cb866968c88953271 |
| institution | Directory of Open Access Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-edcf94de95c1411cb866968c889532712025-08-19T23:55:24ZengMDPI AGApplied Sciences2076-34172024-03-01146261210.3390/app14062612Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient DescentPiotr Bortnowski0Robert Król1Natalia Suchorab-Matuszewska2Maksymilian Ozdoba3Mateusz Szczerbakowicz4Department of Mining, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, ul. Na Grobli 15, 50-421 Wroclaw, PolandDepartment of Mining, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, ul. Na Grobli 15, 50-421 Wroclaw, PolandDepartment of Mining, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, ul. Na Grobli 15, 50-421 Wroclaw, PolandDepartment of Mining, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, ul. Na Grobli 15, 50-421 Wroclaw, PolandDepartment of Mining, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, ul. Na Grobli 15, 50-421 Wroclaw, PolandThis study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated ore and the velocity at which ore particles move. By altering design and operational parameters, the objective is to decrease wear at key points such as transfer areas, thereby improving the efficiency and service life of retention bunkers. A Discrete Element Method (DEM) model of the bin was created and validated against actual mining conditions to study the impact of material flow on wear. The optimization approach used a constrained gradient descent algorithm to minimize factors like particle velocity and pressure force, while maintaining the efficiency of the bin. The findings provide valuable insights for the future design enhancements, potentially improving the operational performance of retention bunkers in the mining industry.https://www.mdpi.com/2076-3417/14/6/2612retention bunkerdiscrete element methodwear damagefailure analysisreliability optimization |
| spellingShingle | Piotr Bortnowski Robert Król Natalia Suchorab-Matuszewska Maksymilian Ozdoba Mateusz Szczerbakowicz Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent retention bunker discrete element method wear damage failure analysis reliability optimization |
| title | Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent |
| title_full | Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent |
| title_fullStr | Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent |
| title_full_unstemmed | Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent |
| title_short | Optimizing Retention Bunkers in Copper Mines with Numerical Methods and Gradient Descent |
| title_sort | optimizing retention bunkers in copper mines with numerical methods and gradient descent |
| topic | retention bunker discrete element method wear damage failure analysis reliability optimization |
| url | https://www.mdpi.com/2076-3417/14/6/2612 |
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