ISSN (print) 1995-2732
ISSN (online) 2412-9003

 

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DOI: 10.18503/1995-2732-2024-22-4-30-43

Abstract

Problem Statement (Relevance). The granulometric composition of rock is used at mining enterprises as one of the main indicators for assessing the efficiency of blasting operations. By controlling the blasting process and generating an optimal size distribution of fragments in the muck pile, it is possible to partially optimize the economic performance of the mining enterprise. This study addresses the task of determining the extent to which the granulometric composition of blasted rock mass during open-pit mining influences the stress distribution in the working equipment of a quarry excavator. Objectives. An analysis of the downtime of quarry excavator fleets at mining enterprises in the Ural Federal District revealed that a significant portion of downtime is due to the failure of metal structures. The primary influence on the appearance and development of cracks in metal structures is exerted by cyclic loads that arise during the excavation of heterogeneous blasted rock mass. Studying the possibilities of controlling the granulometric composition of blasted rock mass will allow the determination of drilling and blasting parameters that require adjustment to enhance the efficiency of blasting the next block. Methods Applied. To address the tasks set, a comprehensive approach was used, including a systematic scientific analysis and synthesis of previously published research. The finite element method was applied to assess the stress-strain state of the load-bearing metal structures of quarry excavators. Originality. The use of modern digital technologies based on machine learning to determine the granulometric composition of blasted rock mass allows for identifying influence dependency between the homogeneity of the granulometric composition in the muck pile and the wear of the excavator's working tool. Result. Using domestic equipment from the company Davtech for the hardware and software support of experimental research, the parameters of the granulometric composition of the blasted rock mass were determined. The influence of the direction of the external load and the indicators of the granulometric composition of the muck pile on the stress-strain state of the quarry excavator dipper was established. Practical Relevance. The data obtained in the course of the research will enable the development of recommendations for optimizing the operating modes of the quarry excavator, which will ultimately reduce the number of equipment failures and increase its lifespan.

Keywords

excavator, mineral, working equipment, shovel dipper, stress distribution

For citation

Velikanov V.S., Chernukhin S.A., Telminov N.S., Dremin A.V., Lomovtseva N.V., Sitdikova S.V. On the Influence of the Granulometry of Blasted Rock Mass on the Stress Distribution in the Working Equipment of a Quarry Excavator. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2024, vol. 22, no. 4, pp. 30-43. https://doi.org/10.18503/1995-2732-2024-22-4-30-43

Vladimir S. Velikanov – DrSc (Eng.), Professor, Ural State Mining University, Yekaterinburg, Ural Federal University named after the First President of Russia B.N. Yeltsin, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-5581-2733

Stanislav A. Chernukhin – PhD (Eng.), Associate Professor, Ural State Mining University, Yekaterinburg, Russia. Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-3423-6129

Nikita S. Telminov – Student, Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Alexander V. Dremin – General Director, DAVTECH LLC, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Natalia V. Lomovtseva – PhD (Pedagogy), Associate Professor, Vice-Rector for Educational Activities and Digitalization, Ural State Agrarian University, Yekaterinburg, Russia. Email: lomovtseva-nv@urgau ru. ORCID 0000-0002-9350-3066

Svetlana V. Sitdikova – Senior lecturer, Ural State Mining University, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

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