A new approach to predictive of fragmentation in the Blast Of Rocks

Authors

  • Edito Luis Rojas Linares Universidad Nacional Mayor de San Marcos. Lima, Perú

DOI:

https://doi.org/10.15381/idata.v21i1.14907

Keywords:

Approach, predictive, engineering, fragmentation, rock blasting, optimization

Abstract

The objective of this research work is to provide a new predictive approach to fragmentation in the rock blasting processes, developed based on the Kuz-Ram model, Multivariate Analysis techniques (MVA) and Artificial Neural Network techniques (ANN).

The objective of the new approach predictive approach to (X50), fragmentation is based on the fact that this research, would provide us with an optimization in the metallurgical mining operations, because delivering an optimal fragmentation requerid for the grinding processes, it could minimize their times and maximize their productivity.

Downloads

Download data is not yet available.

Author Biography

  • Edito Luis Rojas Linares, Universidad Nacional Mayor de San Marcos. Lima, Perú

    Ingeniero de Minas, Consultor independiente en Seguridad, Salud Ocupacional, Medio Ambiente
    y Calidad.

Downloads

Published

2018-07-24

Issue

Section

Diseño y Tecnología

How to Cite

A new approach to predictive of fragmentation in the Blast Of Rocks. (2018). Industrial Data, 21(1), 17-26. https://doi.org/10.15381/idata.v21i1.14907