Skip to main content
Log in

Prediction of Shovel Productivity in the Gol-e-Gohar Iron Mine

  • Published:
Journal of Mining Science Aims and scope

Abstract

Based on the modified Rosin — Rammler — Bennett expression and the image analysis, the relationship of the shovel productivity in the Gol-e-Gihar mine and the granulometric composition of rocks is obtained. It is shown that when percentage of crushed rock oversizes increases, the shovel productivity decreases.

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.

Similar content being viewed by others

REFERENCES

  1. M. Taksuk and K. Erarslan, “Factors affecting loading performance of the excavators in grap lignite enterprise,” in: Mine Planning and Equipment Selection (2000).

  2. J. Kemeny and E. Mofya, “Prediction of blast fragmentation using digital image processing in drill monitoring data,” in: Mine Planning and Equipment Selection (2000).

  3. S. P. Singh, et al., “Interactions between the size distribution of the muck and the loading equipment, ” in: School of Engineering, Laurention University, Sudbury, Ontario (2003).

    Google Scholar 

  4. M. Al Juhani, “A linear programming model incorporates multiple regression analysis model (LPMRA) to optimize production scheduling for an underground gold mine,” in: Mine Planning and Equipment Selection (2001).

  5. A. Hekmat, “Prediction of loading systems (shovel) efficiency based up on large fragmented rock caused by blasting operation in Gol-e-Gohar iron mine of Iran,” Msc. Thesis (2003).

Download references

Author information

Authors and Affiliations

Authors

Additional information

__________

Translated fron Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, No. 2, pp. 97–104, March–April, 2005.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Osanloo, M., Hekmat, A. Prediction of Shovel Productivity in the Gol-e-Gohar Iron Mine. J Min Sci 41, 177–184 (2005). https://doi.org/10.1007/s10913-005-0081-5

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10913-005-0081-5

Navigation