A new paper, presented at the 20th Procemin Conference and based on a related thesis, is now available for easy download. The research explores the significant impact of sample size on estimating SAG mill capacity and its variability, drawing on a comprehensive database of over 800 samples tested with the Geopyörä device.
Abstract:
This study investigates the impact of sample size in the variability of estimating the capacity of a SAG mill. This research is based on an extensive database of over 800 samples gathered from a European mine and tested using the Geopyörä breakage device. The dataset includes crucial comminution parameters such as Axb, DWi, and BWi.
This database was used to simulate hypothetical scenarios, with a different number of samples from the original database. Each scenario was submitted to the same procedure of estimating the mill’s capacity. Ausenco's power-model AusGrind was used to calculate the specific energy (Ecs) from the circuit and mill. The results from the AusGrind were then used as inputs for a Monte Carlo simulation to perform the calculations of the SAG mill capacity.
The results of each scenario consisting of different sample sizes were then compared to analyse the impact of reduced number of samples on the variability of a SAG mill capacity
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