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Determination of optimum truck number at open coal quarry

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Optimum truck numbers of an enterprise can be found by dividing the period of time passed between a departing truck after loading, the arrival at the dumping location, the arrival at the point of loading again and the average loading time parameters of a truck. The average loading time of the truck is directly associated with the bucket fill factor and cycle time of the excavator. While the bucket fill factor depends on the mechanical strength and the discontinuity characteristics of the rock, the cycle time is related to bucket volume, the strength and the discontinuity characteristics of the rock. In this study, two relations predicting the average cycle time of the bucket fill factor for both hydraulic and electric excavators is done by seven excavators with different bucket volumes, and mass characteristics of eight different rocks from a coal open pit mine. According to the above, the optimum truck number was developed.
Rocznik
Strony
213--225
Opis fizyczny
Bibliogr. 17 poz., tab.
Twórcy
  • Dokuz Eylul University, Bergama, 35062, Izmir, Turkey
Bibliografia
  • [1] S. Alarie, M. Gamache, Overview of Solution Strategies Used in Truck Dispatching Systems for Open Pit Mines. International Journal of Surface Mining Reclamation and Environment 16, 59-76 (2002).
  • [2] M. Beaulieu, M. Gamache, An Enumeration Algorithm for Solving the Fleet Management Problem in Underground Mines. Computers and Operations Research 33 (6), 1606-1624 (2006).
  • [3] A.C.M.M. Campelo, T. Marin, The Impact of Payload Truck Factor Use in Mine Performance Reports for an Open Pit Copper Mine in Brazil. REM – International Engineering Journal 71 (3), (2018). DOI: https://doi. org/10.1590/0370-44672017710189.
  • [4] Y. Chang, Ren and S. Wang, Modelling and Optimizing an Open-Pit Truck Scheduling Problem. Discrete Dynamics in Nature and Society (745378), 8 (2015). DOI: https://doi.org/10.1155/2015/745378.
  • [5] P. Chaowasakoo et al., Digitalization of Mine Operations Scenarios to Benefit in Real-Time Truck Dispatching. International Journal of Mining Science and Technology 27 (2), 229-236 (2017).
  • [6] Y . Choi et al., Multi-Criteria Evaluation and Least-Cost Path Analysis for Optimal Haulage Routing of Dump Trucks in Large Scale Open Pit Mines. International Journal of Geographical Information Science 23 (12), 1541- 1567 (2009).
  • [7] S.R. Dindarloo, M. Osanloo, S. Frimpong, A Stochastic Simulation Framework for Truck and Shovel Selection and Sizing in Open Pit Mines. Journal of the Southern African Institute of Mining and Metallurgy 115 (3), 209-219 (2015).
  • [8] S.G. Ercelebi, A. Bascetin, O ptimization of Shovel-Truck System for Surface Mining. Journal of The Southern African Institute of Mining and Metallurgy 109, 433-439 (2009).
  • [9] Y . Li, N.L. Hu ,G.Q. Li, Open-Pit Hauling Dispatching Optimization Based on Improved Pso Algorithm. China’s Mining Magazine 22 (4), 98-105 (2013).
  • [10] G . Liu, S. Chai, Optimizing Open-Pit Truck Route Based on Minimization of Time-Varying Transport Energy Consumption. Mathematical Problems in Engineering (687108) (2019). DOI: https://doi.org/10.1155/2019/6987108.
  • [11] P.R. Michaud, J.Y. Blanchet, Establishing a Quantitative Relation Between Post Blast Fragmentation and Mine Productivity a Case Study. Proceedings of 5th International Symposium on Rock Fragmentation by Blasting 386- 396 (1996).
  • [12] A. Moradi Afrapoli, H. Askari-Nasab, Mining Fleet Management Systems: A Review of Models and Algorithms. International Journal of Mining Reclamation and Environmental 1-19 (2017).
  • [13] M. Munirathinam, J.C. Yingling, A Review of Computer-Based Truck Dispatching Strategies for Surface Mining Operations. International Journal of Surface Mining Reclamation and Environmental 8, 1-15 (1994).
  • [14] S.P. Singh, T. Yalcin, Effects of Muck Size Distribution on Scooping Operations. Proceedings of 28th Annual Conference on Explosives and Blasting Techniques 315-325 (2002).
  • [15] M. Sarı, P.J.A. Lever, Effect of Blasted Rock Particle Size on Excavation Machine Loading Performance. 20th International Mining Congress and Exhibition of Turkey. ISBN 978-9944-89-288-9 (2007).
  • [16] R .F. Subtil, D.M. Silva, J.C. Alves, 35th Apcom Symposium/ Wollongong, Nsw, 24-30 September, 765-777 (2011).
  • [17] L . Zhang, X. Xia, An Integer Programming Approach for Truck-Shovel Dispatching Problem in Open-Pit Mines. Energy Procedia 75, 1779-1784 (2015).
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8bad5843-bc31-4ba9-80aa-08091e3f63fb
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