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- W4386263546 abstract "Blasting operation affects all downstream processes in the mining and construction cycle hence the need to carry out an effective blast to give the desired fragmentation. The present study compares the application of digital image processing and the Kuz-Ram model in particle size distribution analysis at a limestone quarry. Performance assessment utilized the root mean square error, correlation, and regression analysis. Digital image processing utilized WipFrag V3.3 software to analyze the images and benchmark improvements. One blast session was carried out for each mine site. Particle size less than 10 mm, and greater than 300 mm were treated as fines and oversize respectively. Results showed that the model predicted 2% fines and 2% oversize material while the observations on measured fragmentation showed 16.5% fines and 0% oversize for the Chikoa blast. For the Livwezi blast, the model predicted 3% fines and 1% oversize while the observations on measured fragmentation showed 0.27% fines and 42% oversize. The blast from Chikoa performed optimally better than that from the Livwezi mine site. The Kuz-Ram model performed well at predicting fragmentation for the Livwezi site with a 90.42% correlation while for Chikoa it was an 85.39% correlation. The model performed with high correlation values implying that it can be used on both sites to predict fragmentation during preliminary blast design." @default.
- W4386263546 created "2023-08-30" @default.
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- W4386263546 date "2023-01-01" @default.
- W4386263546 modified "2023-10-18" @default.
- W4386263546 title "Comparative Application of Digital Image Processing and Kuz-Ram Model in Blast Fragmentation Analysis: Case of Shayona Cement Quarry" @default.
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- W4386263546 doi "https://doi.org/10.1007/978-3-031-32515-1_13" @default.
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