Promising model range career excavators operating time assessment in real operating conditions
- 1 — Ph.D., Dr.Sci. Professor Saint Petersburg Mining University ▪ Orcid ▪ Elibrary ▪ Scopus ▪ ResearcherID
- 2 — Ph.D. Head of the Department of Methodological Support of the Educational Process and Additional Competencies Saint Petersburg Mining University ▪ Orcid ▪ Elibrary ▪ Scopus
- 3 — Ph.D. Associate Professor Saint Petersburg Mining University ▪ Orcid ▪ Elibrary ▪ Scopus ▪ ResearcherID
Abstract
The development prospects of the mining industry are closely related to the state and development of modern mining machinery and equipment that meet the technical and quality requirements of mining enterprises. Enterprises are focused on a quantitative assessment – the volume of mineral extraction, depending on the functioning efficiency of a promising series of mining machines, which include modern mining excavators. Downtime and unplanned shutdowns of mining excavators directly depend on the operating conditions of the mining machine, which has negative influence on the machine as a whole and its technical condition, which entails a decrease in the efficiency of using expensive mining equipment and economic losses of the mining enterprise. The rationale for external factors that affect the operating time and technical condition of mining excavators is given. For a more detailed assessment of the influence of external influences on the efficiency of operation of mining machines, the influencing factors are divided into two groups: ergatic, directly related to human participation, and factors of a natural-technogenic nature, where human participation is minimized. It was revealed that factors of a natural-technogenic nature have the greatest influence. An algorithm is proposed for a comprehensive assessment of the technical condition and forecasting of operating time both in nominal and in real operating conditions, taking into account factors of a natural and technogenic nature. It is proposed, based on the developed program for planning and evaluating the life of a mining excavator, to adjust the schedules for maintenance and repair (MOT and R) in order to minimize the number of unplanned downtime of a mining excavator and maintain it in good condition.
References
- Ivanova P.V., Asonov S.A., Ivanov S.L., Kuvshinkin S.Yu. Analysis of the structure and reliability of a modern fleet of mining excavators. Gornyi informatsionno-analiticheskii byulleten. 2017. N 7, p. 51-58 (in Russian).
- Velikanov V.S., Panfilova O.R., Usov I.G. Analysis of the durability of the handle of a mining excavator. Vestnik MGTU im G.I.Nosova. 2018. Vol. 16. N 4, p. 13-20. DOI: 10.18503/1995-2732-2018-16-3-13-20 (in Russian).
- Velikanov V.S., Shabanov A.A. On the prospects of research in the field of ergonomic support of domestic mining excavators. Izvestiya Tulskogo gosudarstvennogo universiteta. 2012. N 4, p. 19-29 (in Russian).
- Velikanov V.S., Shabanov A.A. Evaluation of single and group ergonomic indicators of mining and transport equipment based on fuzzy models. Gornyi informatsionno-analiticheskii byulleten. 2011. N S5, p. 326-332 (in Russian).
- Zharikov S.N. Improved estimation of open pit excavator capacity. Zapiski Gornogo instituta. 2018. Vol. 229, p. 56-61. DOI: 10.25515/pmi.2018.1.56
- Zotov O.A., Gustov D.Yu. Modeling the pseudo-truss design of working equipment for a single-bucket excavator. Vestnik MGSU. 2019. Vol. 14. Iss. 2, p. 376-385. DOI: 10.22227/1997-0935.2019.3.376-385 (in Russian).
- Ivanov S.L. Changes in operating time of modern domestic EKG exсavators in dependence of their functioning conditions. Zapiski Gornogo instituta. 2016. Vol. 221, p. 692-700. DOI: 10.18454/pmi.2016.5.692
- Ivanova P.V., Ivanov S.L., Kuvshinkin S.Yu., Shibanov D.A. Weather rigidity index as an integral indicator of the impact of weather conditions on the performance of mining excavators. Otkrytye gornye raboty v XXI veke: rezultaty, problemy i perspektivy razvitiya: Materialy III mezhdunarodnoi nauchno-prakticheskoi konferentsii. Gornyi informatsionno-analiticheskii byulleten. 2017. N 12 (spetsialnyi vypusk 38). Vol. 2, p. 359-365 (in Russian).
- Knyazkina V.I., Ivanov S.L. Diagnostics and extension of service life of mining excavator transmissions. Nauchno-tekhnicheskie vedomosti SPbPU. Estestvennye i inzhenernye nauki. 2019. Vol. 25. N 2, p. 141-148. DOI: 10.18721/JEST.25211 (in Russian).
- Shibanov D.A., Shishlyannikov D.I., Ivanova P.V., Ivanov S.L. Comprehensive assessment of the factors determining the operating time of ECG excavators of the new product line manufactured by «IZ-KARTEX». Gornoe oborudovanie i elektromekhanika. 2015. N 9 (118), p. 3-9 (in Russian).
- Makarov V.N., Anistratov K.Yu. Achievement of the highest record monthly performance of EKG-18 excavators at sections of Stroyservis CJSC. Ugol. 2019. N 1, p. 20-26. DOI: 10.18796/0041-5790-2019-1-20-26 (in Russian).
- Malafeev S.I., Konyashin V.I., Novgorodov A.A. Excavator EKG-20: a new technical solution of the mechatronic complex. Ugol. 2019. N 7, p. 4-7. DOI: 10.18796/0041-5790-2019-7-4-7 (in Russian).
- Ivanov S.L., Ivanova P.V., Kuvshinkin S.Yu., Shibanov D.A. Assessment of the influence of the weather and climate factor on the fault tolerance of the equipment of the mineral resource complex. Resursy Evropeiskogo Severa. Tekhnologii i ekonomika osvoeniya. 2018. N 4 (14), p. 17-27 (in Russian).
- Pobegailo P.A., Ilina A.N. A physical model for assessing the dynamics of hydraulic excavators in the early stages of project activities. Ugol. 2018. N 12, p. 33-37. DOI: 10.18796/0041-5790-2018-12-33-37 (in Russian).
- Campelo Ana Carla de Melo Moreira, Marin Tatiane. The impact of payload truck factor use in mine performance reports for an open pit copper mine in Brazil. REM – International Engineering Journal. 2018. Vol. 71. Iss. 3, p. 443-449. DOI: 10.1590/0370-44672017710189
- Enyindah Ndamzia Clement, Amadi Rex Kemkom. Using Diagnosis and Life Cycle Cost to Improve Reliability of an Excavator. European Journal of Engineering Research and Science. 2019. Vol. 4. Iss. 3, p. 22-26. DOI: 10.24018/ejers.2019.4.3.1107
- Frimpong S., Hu Y., Inyang H. Dynamic Modeling of Hydraulic Shovel Excavators for Geomaterials. International Journal of Geomechanics. 2008. Vol. 8(1), p. 20-29. DOI: 10.1061/(ASCE)1532-3641(2008)8:1(20)
- Gleason W. Mining at the lowest cost per ton: Innovations for large shovels. Mining engineering. 2013, p. 2-3.
- Ivanov S.L., Kuvshinkin S.U. Weather conditions as a factor affecting the performance of modern powerful mining excavators. Journal of Physics: Conference Series. 2019. Vol. 1399. N 044070. DOI: 10.1088/1742-6596/1399/4/044070
- Ivanov S.L., Shishkin P.V. Integral criterion of mining machines technical condition level at their operation. IOP Conf. Series: Earth and Environmental Science, 2017. Vol. 87. N 022009. DOI: 10.1088/1755-1315/87/2/022009
- IZ-KARTEX launches a training excavator complex [Electronic resource]. URL: www.mining-technology.com/contractors/transportation/iz-kartex/pressreleases/pressiz-kartex-excavator. Date of access: 01.07.2019.
- Lazarević O., Lazarević B. Determining the dynamic characteristics of hydraulic excavators. Vojnotehni čki glasnik. 2018. Vol. 66. Iss. 1, p. 41-62. DOI: 10.5937/vojtehg66-14400 (in Serbian).
- Moradi Afrapoli A., Askari-Nasab H. Mining fleet management systems: a review of models and algorithms. International Journal of Mining, Reclamation and Environment. 2017. Vol. 31. N 1, р. 42-60. DOI: 10.1080/17480930.2017.1336607
- Xu X., Wang H., Zang N., Liu Z., Wang X. Review of fault Mechanism and Diagnostic Technique for the Range Extender Hybrid Electric Vehicle. Journal of Institute of Electric Electronics Engineers. 2017. Vol. 5. N 14234-14244. DOI: 10.1109/Access.2017, 2725298