Microsoft paint imaging system – a photogrammetric approach to fragmentation measurement in rock and aggregate production
Thomas B. Afeni1, Emmanuel O. Okeleye1
1Federal University of Technology, Akure, 340001, Nigeria
Min. miner. depos. 2020, 14(3):15-20
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Purpose. To evaluate the fragment sizes of blasted material using Microsoft paint imaging system. It focuses on digital imaging fragmentation analysis of rocks and aggregates using the Microsoft paint, putting into consideration, the camera’s specifications to define the fragment size.
Methods. Five blast tests were conducted in the field to examine the effectiveness of this method of fragmentation analysis and also investigate the influence of burden, spacing and specific charge on degree of fragmentation.
Findings. The particle size distribution obtained from Microsoft-paint imaging analysis shows that the mean run-off-mine sizes are 0.6, 0.58, 0.42, 0.36 and 0.54 m, and the average boulder sizes of fragmented particles are 1.19, 1.11, 0.93, 0.81 and 1.03 m, for blast test 1, blast test 2, blast test 3, blast test 4 and blast test 5 respectively. Blast test 1 produced the highest boulder size of 1.15 m followed by blast test 2 while blast test 4 has the minimum boulder size. The results also shows that with increasing burden and spacing distances, the mean run-off-mine size, average boulder particle size increased. As expected, the mean run-off-mine size, average boulder size also decreased as specific charge increases.
Originality.The results of this research can be compared to fragmentation analysis using analytical software such as Wipfrag, Blastfrag, Fragscan, Powersieve, e.t.c.
Practical implications. Microsoft paint imaging system can be used as a fragmentation analytical tool. Thus, results of the fragmentation analysis can be used for better decision making in future blast designs of a mine.
Keywords: digital imaging, fragmentation, resolution effect, blast shot designs, boulders, particle size distribution
- Raina, A.K., Choudhury, P.B., Ramulu, M., Chrakraborty, A.K., & Dudlankar, A.S., (2002). Fragalst – an indigenous digital image analysis system for grain size measurement in mines. Journal of Geologic Scientist, 561-569.
- Afeni, T.B., Onifade, M., Aladejare, A., & Okeleye, E.O. (2020). Effective blast design for optimum fragmentation of rock (A case study of ZIBO-FM quarry, Akure, Ondo state). Manuscript submitted for publication in SAJ.
- Singh, P.K., Roy, M.P., Paswan, R.K., Sarim, M.D., & Suraj, K. (2005). Blast design and fragmentation control-key to productivity. Dhanbad, India: Central Institute of Mining and Fuel Research, 18 p.
- Spathis, A.T. (2002). A brief review of blasting effects on comminution and mineral liberation. Orica Technical Report No. 58561, Kurri Kurri, Australia.
- Spathis, A.T. (2009). Formulae and techniques for assessing features of blast – induced fragmentation distributions. In Proceedings 9th International Symposium on Rock Fragmentation by Blasting FRAGBLAST-9 (pp. 209-219). Granada, Spain.
- Maerz, N.H., Franklin, J.A., & Rothenburg, L. (1987). Measurement of rock fragmentation by digital analysis. 6th congress of ISRM, 1-14.
- Hettinger, T. (2015). A system for the estimation of fragmentation after production blasts. Rotterdam, (1996), 67-71.
- Motion metrics. (2015). Portable analysis PortaMetrics. Retrieved fromhttp://www.motionmetrics.com/potable
- Split engineering. (2015). Split-desktop software. Retrieved fromhttp://www.spliteng.com/product/splitdesktop-software
- Sanchidrián, J.A., Segarra, P., Ouchterlony, F., & López, L.M. (2008). On the accuracy of fragment size measurement by image analysis in combination with some distribution functions. Rock Mechanics and Rock Engineering, 42(1), 95-116.https://doi.org/10.1007/s00603-007-0161-8
- Johnson, P., & Catherine, E. (2014). Fragmentation analysis in the dynamic stress wave collision regions in bench blasting. Theses and Dissertation (Mining engineering), 16 p.
- WipFrag. (2015). WipFrag manual. North Bay, Ontario, Canada, 5-32.