Skip to main content
Log in

Evaluation of blast fragmentation effects on jaw crusher throughput

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The fragmentation rate and particle size distribution of the muckpile after blasting have important influences on the performance of subsequent mining activities such as loading, hauling, crushing, grinding, and the overall costs of the mine. Drilling and blasting are important steps in the chain of mining processes, and its results affect the efficiency of downstream processes accordingly. There is an increasing body of blasting research that indicates the significant impacts in mining downstream processes. Within the scope of this study, a series of blasts were conducted in a sandstone quarry, and the throughput of the jaw crusher was recorded after each blasted rocks are fed. These measurements consisted of analysis of the particle size distribution of each muckpile after shots, and the assessment of particle size distributions of each truck—load fragmented rock. Digital image processing method was used for the assessment of the particle size distribution of blasted rock. The fragmentation results then were paired with the crusher throughput values, and series of regression analysis were done in order to understand the effects of blast fragmentation on crusher throughput. The analysis includes the relationship between P20, P50, P80, and Ptop values of size distributions and the crusher throughput results. Depending on the correlation degree of each relationship, effects of each size distribution parameter on crushing performance were discussed. Established empirical equations with reliable correlation coefficients can be used to estimate the crusher performance depending on fragmentation results of a blast and therefore, and blast designs can also be modified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Beke B (1964) Principles of comminution. Akademiai Kiado, Budapest

    Google Scholar 

  • Beyglou A, Johansson D, Schunnesson H (2017) Target fragmentation for efficient loading and crushing -the Aitik case. J South Afr Inst Min Metall 117(11):1053–1062

    Article  Google Scholar 

  • Donovan JG (2003) Fracture toughness based models for the prediction of power consumption, product size and capacity of jaw crushers, PhD. Dissertation, Virginia Polytechnic Institute, USA

  • Duthoit V (2000) Aggregates, ch. 9 (edited by Louis Primel and Claude Tourenq) Crushing and Grinding Balkema, Rotterdam

  • Elahi AT, Hosseini M (2017) Analysis of blasted rocks fragmentation using digital image processing (case study: limestone quarry of Abyek Cement Company). Int J Geo-Eng 8:16. https://doi.org/10.1186/s40703-017-0053-z

    Article  Google Scholar 

  • Hofler A (1990) Fundamental breakage studies of mineral particles with an ultrafast load cell device, PhD Dissertation. University of Utah, Salt Lake City

    Google Scholar 

  • Janaka GHA, Kumara J, Hayano K, Ogiwara K (2012) Image analysis techniques on evaluation of particle size distribution of gravel. Int J Geomate 3(1 Sl.5):290–297 Geotec., Const. Mat. & Env., ISSN:2186-2982(P), 2186-2990 (O)

    Google Scholar 

  • Katsabanis PD (2020) Analysis of the effects of blasting on comminution using experimental results and numerical modelling. Int J Rock Mech Rock Eng 53:3093–3109. https://doi.org/10.1007/s00603-020-02093-4

    Article  Google Scholar 

  • King RP (2001) Modelling and simulation of mineral processing systems. Butterworth-Heinemann, Boston

    Google Scholar 

  • Kursun İ (2009) Particle size and shape characteristics of kemerburgaz quartz sands obtained by sieving, laser diffraction, and digital image processing methods. Miner Process Extr Metall Rev 30(4):346–360. https://doi.org/10.1080/08827500903149659

    Article  Google Scholar 

  • McKee DJ, Chitombo GP, Morrell S (1995) The relationship between fragmentation in mining and comminution circuit throughput. Minerals Engineering, ol.8. No 11:1265–1274

    Google Scholar 

  • Murr, D.L., Workman, L., Eloranta, J., and Katsabanis, T. (2015) Blasting influence on comminution. Proceedings of the Sixth International Conference on Semi-autogenous and High Pressure Grinding Technology, Vancouver

  • NACE, (2008) Catalogue of jaw crushers

  • Napier-Munn TJ, Morrell S, Morrison RD, Kojovic T (1999) Mineral comminution circuits – their operation and optimization. Julius Kruttschnitt Mineral Research Center, Queensland

    Google Scholar 

  • Nielsen K, Kristiansen J (1996) Blasting-crushing-grinding: optimisation of an integrated comminution system. In: Proceedings of Fragblast, 5th edn. Fragmentation by Blasting, Montreal, pp 269–277

    Google Scholar 

  • Ozdemir K (2009) Investigating the effects of particle size distribution on bench blasting to consecutive mining activities. PhD. Dissertation, Istanbul University, Turkey

  • Ozdemir K, Kahriman A, Karadoğan A, Tuncer G (2003) Blast fragmentation assessment and control using the split digital image analysis system. In: International Conference on Earth Sciences and Electronics (ICESE-2003). Istanbul University, Avcılar, Istanbul, Turkey

    Google Scholar 

  • Ozdemir K, Tuncer G, Kahriman A, Ozer U, Karadogan A (2007a) The relation between excavator bucket loading time and particle size distribution of shot rock. Proceedings of The 33rd Annual Conference on Explosives and Blasting Technique, Nashville, Tennessee, Volume I, pp. 303-313

  • Ozdemir, K., Kahriman, A., Özer, U., Tuncer, G (2007b) Bench blasting optimization method depending on desired fragmentation, 7th International Conference: Modern Management of Mine Producing Geology and Environment Protection, Varna, Bulgaria

  • Sanchidrian JA, Segarra P, Lopez LM (2006) A practical procedure for the measurement of fragmentation by blasting by image analysis. Rock Mech Eng 39(4):359–382. https://doi.org/10.1007/s00603-005-0073-4

    Article  Google Scholar 

  • Sanchidrianan JA, Ouchterlony F, Moser P, Segarra P, Lopez LM (2012) Performance of some distributions to describe rock fragmentation data. Int J Rock Mech Min Sci 53:18–31

    Article  Google Scholar 

  • Sereshki F, Hoseini SM, Ataei M (2016) Blast fragmentation analysis using image processing. IJMGE 50(2):211–218. https://doi.org/10.22059/ijmge.2016.59831

    Article  Google Scholar 

  • Weiss NL (1985) Jaw crushers. In: Weiss NL (ed) SME Mineral Processing Handbook, ch. 3B-1 edn. SME/AIME, New York

    Google Scholar 

  • Whittles DN, Kingman S, Lowndes I, Jackson K (2006) Laboratory and numerical investigation into the characteristics of rock fragmentation. Miner Eng 19:1418–1429. https://doi.org/10.1016/j.mineng.2006.02.004

    Article  Google Scholar 

  • Workman L, Eloranta J (2003) Effects of blasting on crushing and grinding efficiency and energy consumption. In: Int. Annual Conference on Explosives and Blasting Technique. Proceedings, Nashville

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank Istanbul University-Cerrahpasa Engineering Faculty, Executive Secretariat of Scientific Research Projects.

Funding

This work was financially supported by the Executive Secretariat of Scientific Research Projects of Istanbul University-Cerrahpasa with project number T-73/15122006.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kagan Ozdemir.

Ethics declarations

Conflict of interest

The author declares no competing interests.

Additional information

Responsible Editor: Murat Karakus

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ozdemir, K. Evaluation of blast fragmentation effects on jaw crusher throughput. Arab J Geosci 14, 2036 (2021). https://doi.org/10.1007/s12517-021-08426-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-021-08426-z

Keywords

Navigation