Optimization of the SAG Grinding Process Using Statistical Analysis and Machine Learning: A Case Study of the Chilean Copper Mining Industry

Considering the continuous increase in production costs and resource optimization, more than a strategic objective has become imperative in the copper mining industry. In the search to improve the efficiency in the use of resources, the present work develops models of a semi-autogenous grinding (SAG...

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Detalles Bibliográficos
Autores principales: Saldaña, Manuel, Gálvez, Edelmira, Navarra, Alessandro, Toro, Norman, Cisternas, Luis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145634/
https://www.ncbi.nlm.nih.gov/pubmed/37110055
http://dx.doi.org/10.3390/ma16083220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145634/
https://www.ncbi.nlm.nih.gov/pubmed/37110055
http://dx.doi.org/10.3390/ma16083220

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