DOI: 10.18503/1995-2732-2022-20-3-54-63
Abstract
Problem Statement (Relevance). The analysis of open-cast mining in modern conditions shows continuous improvement of quarry equipment. Thus, technological features of development of deposits impose almost no limitations on its capacity and power-weight ratio. At the same time, such development is connected with more complicated conditions of mining, deeper quarries, less area of working space, and moving of mining to areas with unfavorable climatic factors. In view of this, it is quite difficult to determine an optimal model of equipment. Methods Applied. An analytical review, numerical calculations, comparative evaluation. Originality. The paper presents the research results providing a rationale for the approach and criteria for choosing a structure of the pit equipment technological complex, including a drilling rig, a hydraulic or electric excavator, a power shovel, dump trucks, and other auxiliary equipment. Result. It is stated that the basis of choosing optimal conditions of equipment operation is the assessment of production performance of excavators and dump trucks depending on the period of the year and a period of operation, rock strength characteristics, types and sizes, number of buckets loaded by excavators into dump trucks, transportation distance, administrative downtime during the operation cycle, taking into account climatic effect. The paper contains the economic criteria for choosing an optimal combination of an excavator and a dump truck. It is proved that specific accumulated costs of purchasing and operating the complex equipment during the life time of the excavator economically characterize the circumstances of transition of monetary funds into the rock mass, which is excavated from the massif and transported at a certain distance. Practical Relevance. Some models of hydraulic and electric excavators, having various specified operation periods and technical characteristics, are used as an example for a comparative evaluation in comparable conditions with determined optimal conditions of their operation combined with dump trucks.
Keywords
mining and conveyor equipment complexes, electric excavator (power shovel), hydraulic excavator, dump truck, mining equipment life span, open pit, ore mining
For citation
Kuznetsov D.V., Kosolapov A.I. Methodology for Justifying the Selection of Mining and Conveyor Equipment for Ore Quarries. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2022, vol. 20, no. 3, pp. 54-63. https://doi.org/10.18503/1995-2732-2022-20-3-54-63
1. Kuznetsov D.V., Kosolapov A.I. Optimizatsiya par-ametrov tekhnologicheskikh kompleksov rudnykh karerov: monografiya [Optimization of parameters of ore open-cast mine technological complexes: mono-graph]. Krasnoyarsk: Siberian Federal University, 2020. 188 p. (In Russ.)
2. Burt C.N., Caccetta L. Equipment selection for mining: with case studies. Cham: Springer International Publishing, 2018. 155 p.
3. Sytenkov V.N. Comparative selection of mechanical shovel excavators with rope and hydraulic movement of the operating element. Gornoe delo [Mining Engineering], 2014, no. 1, pp. 14-22. (In Russ.)
4. Komlenovich D. A multi-criteria approach to choosing mining equipment. Gornoe delo [Mining Engineering], 2017, no. 2, pp. 10-19. (In Russ.)
5. Kumykova T.M., Kumykov V.K. Method of shaping loading-and-transportation system in deep open pit complex ore mines. J. Vin. Sci., 53, 708-717 (2018). DOI: 10.1134/S1062739117042702
6. Kolesnikov V., Katsubin A., Martyanov V., Dopr A. Features of the excavation and loading equipment of various types in the development of inclined and steep beds. E3S Web of Conferences, 105, 1-5 (2019). DOI: 10.1051/e3sconf/201910501023
7. Kuznetsov D.V., Kosolapov A.I. Economic and technological aspects of interrlation between open pit depth and mining transport parameters. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal [News of Higher Institutions. Mining Journal], 2020, no. 3, pp. 87-95. DOI: 10.21440/0536-1028-2020-3-87-95
8. Kuznetsov D.V., Kosolapov A.I. Research of the influence of the excavating and automotive equipment complexes parameters on the speed of faces advance. Earth and Environmental Science, 626, 1-6 (2021). DOI:10.1088/1755-1315/626/1/012020
9. Poderni R.Yu. World market of advanced extraction-and-loading machines for open pit mining. Gornyi in-formatsionno-analiticheskiy byulleten [Mining Informational and Analytical Bulletin], 2015, no. 2, pp. 148-167. (In Russ.)
10. Rzhevsky V.V. Otkrytye gornye raboty. Proizvodstvennye protsessy [Open-pit mining. Production processes]. Moscow: Librokom, 2010, 512 p. (In Russ.)
11. Rzhevsky V.V. Otkrytye gornye raboty. Tekhnologiya i kompleksnaya mekhanizatsiya [Open-pit mining. Technology and integrated mechanization]. Moscow: Librokom, 2010, 551 p. (In Russ.)
12. Kuleshov А.А. Moshchnye ekskavatorno-avtomobilnye kompleksy [Powerful excavator-vehicle complexes]. Moscow: Nedra, 1980, 317 p. (In Russ.)
13. Trubetskoy K.N., Kaplunov D.R. et al. Gornoe delo: Terminologicheskiy slovar [Mining: Dictionary of technical terms]. Moscow: Research Institute of Comprehensive Exploitation of Mineral Resources of the Russian Academy of Sciences, 2016, 635 p. (In Russ.)
14. Zhuravlev A.G. The issues of optimizing parameters of quarry transport systems. Gornyi informatsionno-analiticheskiy byulleten [Mining Informational and Analytical Bulletin], 2020, no. 3-1, pp. 583-601. (In Russ.) DOI: 10.25018/0236-1493-2020-31-0-583-601
15. Koptev V.Yu. Justification of choosing an effective model of a dump truck. Modern Engineering and Technology, 5, 23-25 (2014).
16. Parhizkar A. Location theory applied to optimize the position of road exit(s) in open pit mining (case study). Arabian Journal of Geosciences, 11, 796-797 (2018). DOI:10.1007/s12517-018-4165-3
17. Jin C., Yi T., Shen Y., Khajepour A., Meng Q. Com-parative study on the economy of hybrid mining trucks for open-pit mining. IET Intelligent Transport Systems, 13 (1), 201-208 (2019). DOI: 10.1049/iet-its.2018.5085
18. Liu G., Chai S. Optimizing open-pit truck route based on minimization of time-varying transport energy consumption. Mathematical Problems in Engineering, 1, 1 – 12 (2019). DOI: 10.1155/2019/6987108
19. Baiany D.M., Zhang L., Xia X. An optimization ap-proach for shovel allocation to minimize fuel consumption in open-pit mines: Case of heterogeneous fleet of shovels. IFAC Papers OnLine, 52 (14), 207-212 (2019). DOI: 10.1016/j.ifacol.2019.09.196
20. Kuznetsov D.V., Kosolapov A.I. Justification criteria for open pit mine depth and mining/haulage machinery parameters. Earth and Environmental Science, 262, 1-4 (2019). DOI: 10.1088/1755-1315/262/1/012038
21. Smirnov K.A. Simulation of rectilinear motion of a four-wheel car-like robot with an electromechanical drivetrain. Mechanisms and Machine Science, 73, 2671-2679 (2019). DOI: 10.1007/978-3-030-20131-9_264
22. Upadhyay S.P., Tabesh M., Moradi Afrapoli A., Askari-Nasab H. A simulation-based algorithm for solving surface mines, equipment selection and sizing problem under uncertainty. CIM Journal, 12, 36-46 (2021). DOI: 10.1080/19236026.2021.1872995
23. Joshi D., Paithankar A., Chatterjee S., Equeenuddin Sk. Integrated parametric graph closure and branch-and-cut algorithm for open pit mine scheduling under uncertainty. Mining, 2, 32-51 (2022). DOI: 10.3390/mining2010003