Contemporary aspects of designing mining transport machines in the context of digital transformation of mining operations

DOI: https://doi.org/10.30686/1609-9192-2024-5S-28-32

Читать на русскоя языкеV.S. Velikanov1, 2, I.A. Grishin3, Z.S. Akmanova3, O.A. Lukashuk1, A.D. Lukashuk1
1 Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federation
2 Ural State Mining University, Ekaterinburg, Russian Federation
3 Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation
Russian Mining Industry №5 / 2024 p.28-32

Abstract:

Relevance of research. The efficiency of mining and mineral processing is determined by the correct selection strategy for equipment and technology in the production process. Modern trends in the development of machinery, equipment and technological systems are manifested in the increasing complexity of the mechanical design and multifunctionality of mining equipment. For this reason, the focus of new designs is shifting to a more detailed study of the product performance during the development stages prior to full-scale testing, primarily to reduce the time and cost of product development and increase the chances for the machine to reach the market. This provides additional opportunities to improve the design and manufacturing of mining equipment by creating and utilising feedback while extensively applying testing and diagnostic procedures.

Methods. A complex approach that included a system scientific analysis and generalization of previously published studies was used in addressing the tasks set.

Results. Modelling and calculation of the operator's cabin for a mining excavator has been performed in the COMPAS-3D software application of the APM FEM System. 'The calculation core of the APM FEM System for the COMPAS-3D is the “Finite Element Software System APM Structure3D” software tool.

Practical value. This approach can be implemented in the development of promising designs of operator cabins for mining transport machines.

Keywords: digitalisation, digital twin, life cycle costing, mining machines, finite element software system

Acknowledgments: This work was financially supported by the Ministry of Science and Higher Education of the Russian Federation (Project FRZU-2023-0008).

For citation: Velikanov V.S., Grishin I.A., Akmanova Z.S., Lukashuk O.A., Lukashuk A.D. Contemporary aspects of designing mining transport machines in the context of digital transformation of mining operations. Russian Mining Industry. 2024;(5S): 28–32. (In Russ.) https://doi.org/10.30686/1609-9192-2024-5S-28-32

Article info

Received: 19.08.2024

Revised: 16.10.2024

Accepted: 17.10.2024

Information about the authors

Vladimir S. Velikanov – Dr. Sci. (Eng.), Professor, Department of Hoisting and Hauling Machines and Robots, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federation; Professor, Department of Automatics and Computer Technologies, Ural State Mining University, Ekaterinburg, Russian Federation; https://orcid.org/0000-0001-5581-2733; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Igor A. Grishin – Cand. Sci. (Eng.), Head of the Department of Geology, Mine Surveying and Mineral Processing, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; https://orcid.org/0000-0001-8010-7542; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Zoya S. Akmanova – Cand. Sci. (Educ.), Associate Professor, Department of Applied Mathematics and Informatics, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Olga A. Lukashuk – Cand. Sci. (Eng.), Head of the Department of Hoisting and Hauling Machines and Robots, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federation; https://orcid.org/0000-0002-4952-0344; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Alena D. Lukashuk – Master student, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

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