Prediction of rock fragmentation for surface mine blasting through machine learning techniques
AK Raj, BS Choudhary, GW Deressa - … of The Institution of Engineers (India …, 2024 - Springer
Blasting is essential in mining for rock fragmentation, significantly impacting downstream
processes, overall productivity, and the efficiency of resource extraction. This study uses …
processes, overall productivity, and the efficiency of resource extraction. This study uses …
[PDF][PDF] Effect of charge load proportion and blast controllable factor design on blast fragment size distribution
BO Taiwo - Journal of Brilliant Engineering, 2022 - acapublishing.com
Industrial rock mass and rock bearing ore exist as huge materials within the earth's crust, it is
found at shallow or deep depth depending on the mineral mode of formation and the kind of …
found at shallow or deep depth depending on the mineral mode of formation and the kind of …
Explosive Utilization Efficiency Enhancement: An Application of Machine Learning for Powder Factor Prediction using Critical Rock characteristics
Maximizing the use of explosives is crucial for optimising blasting operations, significantly
influencing productivity and cost-effectiveness in mining activities. This work explores the …
influencing productivity and cost-effectiveness in mining activities. This work explores the …