Untitled in english

Author(s)

Fernando Karam Delbim

• Document type: Master's Dissertation
• Press: São Paulo. , gráficos, ilustrações, tabelas.
• Institution: Universidade de São Paulo (USP). Escola Politécnica (EP/BC)
• Defense date: 2001-12-20

Examining board members

Homero Delboni Junior; Eldon Azevedo Masini; João Alves Sampaio

• Advisor: Homero Delboni Junior
• Field of knowledge: Engineering - Mining Engineering
• Indexed in: Banco de Dados Bibliográficos da USP-DEDALUS
• Location: Universidade de São Paulo. Biblioteca Central da Escola Politécnica; FD-2991; Universidade de São Paulo. Escola Politécnica. Biblioteca de Engenharia de Minas; FD-2991

Abstract

This work presents the development of a technique to predict the performance of SAG mills based on the ore technological characterization. A reliable technique to predict the performance of SAG mills is the key for the operation of industrial circuits, particularly where the average throughtput is below the nominal level. The whole study was in fact motivated by the failure of consolidated techniques, Bond´s WI included, to predict the throughtput of an industrial grinding circuit. The viability of the proposed technique was tested from correlations between the \"Breakage Index\" combined with new feed size distribution and mill throughtput. Statistics analyses have proved the consistency of the proposed method. This technique has established the basis of an approach toward planning an integration of a mining enterprise as a whole, as it permits to estimate the performance of mine blocks at the SAG mill, being therefore a resource for planning the mine starting from the blasted ore performance. (AU)