CORRELATION OF BLASTING PERFORMANCE WITH LOADING AND CRUSHING TIME TO MINIMIZE ENERGY CONSUMPTION
| dc.contributor.author | Olanrewaju Alaba | |
| dc.contributor.author | S.O. Abdulraman | |
| dc.date.accessioned | 2025-04-10T14:25:35Z | |
| dc.date.available | 2025-04-10T14:25:35Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Blasting performance with loading and crushing time were correlated in order to minimize energy consumption in quarry operation. A measure scaled object was placed within the muck pile of blasted rock fragments. Digital camera was used to take the photograph of the scaled object and the blasted rock fragments before the commencement of loading and crushing operations. The data collected were subjected to fragmentation analysis using split desktop App while the correlation analyses were carried with Microsoft Excel App. The fragmentation and distribution analysis showed that the fine cut off sizes are 8.75 cm, 9.55 cm, 7.58 cm, 8.58 cm and 11.75 cm while their mean size distribution are 35.99 cm, 10.25 cm, 24.86 cm, 16.78 cm and 16.10 cm respectively. The R squared values (R2) obtained during the correlation of digging time with size of fragmentation passes (P50), mean deviation and bucket passes were given as 0.94, 0.39 and 0.63 with p-values of 0.00, 0.34 and 0.82 respectively. Consequently, the R2 values during the correlation of crushing time with P50, mean deviation and range were specified as 0.64, 0.62 and 0.27 with p-values of 0.00, 0.11 and 0.07 respectively. The study therefore established that only the regression equation for P50 is statistically significant while statistically insignificant for mean deviation, range and number of bucket passes. | |
| dc.identifier.doi | 10.31713/m904 | |
| dc.identifier.isbn | 978-973-741-694-0 | |
| dc.identifier.uri | https://kwasuspace.kwasu.edu.ng/handle/123456789/5016 | |
| dc.language.iso | en | |
| dc.title | CORRELATION OF BLASTING PERFORMANCE WITH LOADING AND CRUSHING TIME TO MINIMIZE ENERGY CONSUMPTION | |
| dc.type | monograph |