Blasting Related Aggregate Size Optimization

Blasting data analytics are being increasing used to increase mining productivity, reduce mining costs, maximize high margin aggregate products, and to reduce fines. Three examples will be illustrated using simple models to maximize the percentage of blasted rock within established dimensions and reduce fines-one from video fragmentation distribution information, the second from sieved crusher fragmentation data, and the third from plant production data. In addition, the use of sieved crusher results to determine blasting related fines and the use of mine productivity data to maximize aggregate sizes when pattern (burden and spacing) areas are changed will be illustrated