Memorias de investigación
Ponencias en congresos:
On the Influence of Powder Factor on Mucking Rate
Año:2008

Áreas de investigación
  • Explotación minera

Datos
Descripción
Previous work in which rock properties and blasting parameters (geometry, charging and timing) were reported together with truck filling times, is taken as a starting point for a thorough analysis of the influence of the former on the mucking velocity. The experimental set was composed by 11 blasts made in an open pit mine. Non-parametric, distribution-free statistics is applied. The mucking rates (in bank cubic meters per unit of bucket volume and per hour) appear to be clearly dependent on the explosive energy and powder factor, both magnitudes combined as energetic powder factor (energy per unit of rock volume). The mucking rate is a non-monotonic function of such factor in the range of the blasts analyzed. The determination of the function is optimum when the fraction of the explosive below grade is not considered and when the explosive energy is qualified as that delivered at a partial detonation regime. Different types of loaders seem appropriate for different energy levels. At low levels both front loaders and rope shovels obtain small productivities without a statistically significant difference in their performance. At high energy levels, front loaders qualify higher than rope shovels. Mucking velocities can be equally small at low energy powder factors and at high ones if rope shovels are involved.
Internacional
Si
Nombre congreso
34th Annual Conference on Explosives and Blasting Technique
Tipo de participación
960
Lugar del congreso
Nueva Orleans
Revisores
Si
ISBN o ISSN
0000000000
DOI
Fecha inicio congreso
27/01/2008
Fecha fin congreso
30/01/2008
Desde la página
0
Hasta la página
0
Título de las actas
Proceedings of the 34th Annual Conference on Explosives and Blasting Technique

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería de Georrecursos y Modelización
  • Departamento: Ingeniería Química y Combustibles