Efficiency of standardized image processing in the fragmentation prediction in the case of Sungun open-pit mine     

Mostafa Badroddin  Ezzeddin Bakhtavar  Hasan Khoshrou  Bahram Rezaei 《Arabian Journal of Geosciences》2013,6(9):3319-3329

The paper proposes a standardized image-processing procedure with the use of sieve analysis results for calibration which is utilized to measure the size distribution of fragmentation at Sungun mine. Through this procedure, a number of 19 bench blasting in various levels have been initially selected as the target of the study for each, multiple photos were taken immediately after blast from suitable perspectives and locations of the muckpiles surfaces. The number of image sampling was chosen adequately high to achieve further reliability of the whole photography procedure. Then fragments of each muckpile were separately mixed by a loader, where another image sampling from these new muckpiles, bucket of loaders, and haulage trucks was performed. For the purpose of sieve analysis, seven sieves with the mesh sizes between 1.27 cm (0.5 in) and 25.4 cm (10 in) were designed, manufactured, and then installed at Sungun semi-industrial laboratory. Additionally, three mass samples of the mixed fragments were randomly chosen among the 19 muckpiles for sieving. During image analysis stage, “sieve shift” and “mass power” factors, required to obtain standardized size distribution, were precisely assigned when the results obtained by the image analysis software was in accordance with the sieving results. In order to validate the reliability of the image processing, a comparative analysis of the achieved results was made with the results of the original Kuz–Ram model [Cunningham (1983) The Kuz–Ram model for prediction of fragmentation from blasting. In: Proceedings of the first international symposium on rock fragmentation by blasting, Lulea, Sweden, pp 439–454]. Finally, the image-processing procedure was found to be more efficient, with results close-matched to the real results of the sieve analysis.  相似文献   

Using dimensional-regression analysis to predict the mean particle size of fragmentation by blasting at the Sungun copper mine     

Bakhtavar  E.  Khoshrou  H.  Badroddin  M. 《Arabian Journal of Geosciences》2015,8(4):2111-2120

Arabian Journal of Geosciences - A methodology was founded on the basis of a dimensional analysis procedure, together with multivariate nonlinear regression analysis which is used to predict mean...  相似文献