Analysis and Modelling of the Fragmentation Process – Case Studies at El Teniente Mine

- Organization:
- The Australasian Institute of Mining and Metallurgy
- Pages:
- 6
- File Size:
- 961 KB
- Publication Date:
- May 9, 2016
Abstract
Fragmentation is one of the most relevant parameters in the design and operation of a mine using the caving mining method. Fragmentation affects all subsequent operations, including extraction, comminution processes, secondary blasting and transportation.There are a number of different models in the literature to estimate the size of the ore fragments that report to the drawpoints; however, there is still no industry consensus about which one to use. This paper proposes a new model for predicting the fragmentation reporting to the drawpoints that is based on the geotechnical unit characteristics, extraction height and column of primary ore. The model is developed from observations of fragmentation measurements in different mine sectors of Codelco’s El Teniente mine in Chile.This work focuses on the following three steps:collecting fragmentation and hang-up data from several mine sectorsdeveloping a geotechnical block model using oriented core placed within the main geotechnical unitsanalysing the data and modelling the fragmentation process.The proposed model is used to discuss the mechanisms and the influence of preconditioning on the size of the ore fragments that report to the drawpoints.CITATION:Brzovic, A, Vallejos, J, Arancibia, E, Burgos, L, Delonca, A, Gaete, M and Barrera, V, 2016. Analysis and modelling of the fragmentation process – case studies at El Teniente Mine, in Proceedings Seventh International Conference and Exhibition on Mass Mining (MassMin 2016), pp 305–310 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Citation
APA:
(2016) Analysis and Modelling of the Fragmentation Process – Case Studies at El Teniente MineMLA: Analysis and Modelling of the Fragmentation Process – Case Studies at El Teniente Mine. The Australasian Institute of Mining and Metallurgy, 2016.