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Blast fragmentation model evaluation via image analysis.

Authors :
Smith M.L.
Emerging computer techniques for the minerals industry Tuscaloosa, Alabama Feb-93Feb-93
Kemeny J.M.
Smith M.L.
Emerging computer techniques for the minerals industry Tuscaloosa, Alabama Feb-93Feb-93
Kemeny J.M.
Publication Year :
1993

Abstract

In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modelling and evaluating blast results. A principal problem in the practical application of empirical blast fragmentation modelling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regard to the problem of fragmentation modelling.<br />In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modelling and evaluating blast results. A principal problem in the practical application of empirical blast fragmentation modelling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regard to the problem of fragmentation modelling.

Details

Database :
OAIster
Notes :
und
Publication Type :
Electronic Resource
Accession number :
edsoai.on1309213483
Document Type :
Electronic Resource