EFEE Conference 2017
Event: EFEE World Conference on Explosives 2017
Date: 10-11 September 2017
Location: Stockholm, Sweden
Paper: The development of a new geometrical blast fragmentation model and its application to Grade Engineering®
Title: |
The development of a new geometrical blast fragmentation model and its application to Grade Engineering® |
Category: |
Blast Modelling |
|
|
Author: |
David La Rosa |
|
|||
Affiliations: |
CRC ORE |
|
|||
Abstract text: |
The ability to accurately predict run of mine (ROM) fragmentation is a well-documented, invaluable tool for blast optimisation. In the emerging field of Grade Engineering®, grade by size metal deportment can be induced by differential blasting. It is equally important to know the size distribution of the blasted ore in order to quantify the value of upgrading concentrator feed by screening. Generally, fragmentation models can be grouped into empirical and mechanistic categories. Empirical models include the common Kuz-Ram model variants, and can be easily implemented in a spreadsheet. Mechanistic models are usually developed by research consortia or explosive companies, requiring significant computing power to deal with the complexities of the explosive detonation processes and rock mass descriptors. Each approach has advantages and disadvantages. The author has used a modified Kuz-Ram model for some time in mine to mill projects. While the results of the model can usually be calibrated to measurements of the actual ROM particle size distribution, there are limitations to its application, especially in finely structured rock masses. In addition, the output of the model, applies to the entire blast and doesn’t allow for the size distribution of a particular region of a blast to be interrogated. A new fragmentation model has been developed that combines coarse fragments created by radial cracks fracturing a 2D representation of the rock mass structure with fines created around the blast hole to determine the final ROM size distribution. Conclusions Recommendations |
|
|||
Presentation: |
|||||
Contact us: |
Cooperative Research Centre Optimising Resource Extraction (CRC ORE) |
|
|||