A new approach to predictive of fragmentation in the Blast Of Rocks
The objective of this research work is to provide a new predictive approach to fragmentation in the rock blasting processes, developed based on the Kuz-Ram model, Multivariate Analysis techniques (MVA) and Artificial Neural Network techniques (ANN).The objective of the new approach predictive approa...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Perú |
| Institución: | Universidad Nacional Mayor de San Marcos |
| Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
| Idioma: | español |
| OAI Identifier: | oai:revistasinvestigacion.unmsm.edu.pe:article/14907 |
| Acceso en línea: | https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/14907 |
| Access Level: | acceso abierto |
| Palabra clave: | Enfoque predictivo ingenieria fragmentación voladura de rocas optimización Approach predictive engineering fragmentation rock blasting optimization |
| Sumario: | The objective of this research work is to provide a new predictive approach to fragmentation in the rock blasting processes, developed based on the Kuz-Ram model, Multivariate Analysis techniques (MVA) and Artificial Neural Network techniques (ANN).The objective of the new approach predictive approach to (X50), fragmentation is based on the fact that this research, would provide us with an optimization in the metallurgical mining operations, because delivering an optimal fragmentation requerid for the grinding processes, it could minimize their times and maximize their productivity. |
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