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Memorias de investigación
Communications at congresses:
On the Influence of Powder Factor on Mucking Rate
Year:2008
Research Areas
  • Mining operation
Information
Abstract
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.
International
Si
Congress
34th Annual Conference on Explosives and Blasting Technique
960
Place
Nueva Orleans
Reviewers
Si
ISBN/ISSN
0000000000
Start Date
27/01/2008
End Date
30/01/2008
From page
0
To page
0
Proceedings of the 34th Annual Conference on Explosives and Blasting Technique
Participants
  • Participante: Manuel López (MAXAM INTERNATIONAL)
  • Autor: Pablo Segarra Catasus (UPM)
  • Autor: Jose Angel Sanchidrian Blanco (UPM)
  • Autor: Lina Maria Lopez Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería de Georrecursos y Modelización
  • Departamento: Ingeniería Química y Combustibles
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