Rock Fragmentation Prediction using Kuz-Ram Model

Abstract

Evaluation of fragmentation remains an ever important discussion in the mining parlance as it is the first step towards mineral recovery. Various software’s and methods of predicting and analyzing the result of blasting exists, one of such is the Kuz-Ram model. This paper studied the development of the Kuz-Ram model from inception and the modifications that have been made. The methodology of its use and the discrepancies that exist between predicted results and the actual results generated by the design for similarities and correlation were examined. Predictions were made based on the input parameters of a limestone quarry and the blast design were varied to predict new design parameters that reduced the mean fragment size from 113cm to 105cm. This result shows a significant boost in the productivity of subsequent operations when the values estimated for burden and spacing were adopted. It was observed that the trend of the results remains valid in present day application even though there are significant differences in magnitudes of values. It was concluded that Kuz-Ram Model remains viable at making fragmentation prediction and a useful tool for pre assessing the effect of optimizing certain parameters of a blast design.

Keywords: Fragmentation analysis, Kuz-Ram Model, Optimization and Prediction