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

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DOI: 10.18503/1995-2732-2026-24-1-60-68

Abstract

Problem Statement (Relevance). The current level of digitalization in geological exploration, well development and operation at explored deposits, as well as in the manufacturing of high-tech machinery parts in metalworking, requires the creation of advanced technological production planning based on the use of digital twins and artificial intelligence. The practical implementation of this concept requires a deep understanding of the dynamics of physically similar processes such as drilling wells and machining holes. The knowledge obtained has made it possible to develop mathematical (simulation) models that adequately reflect real processes and can be effectively applied in the design and implementation of such technological processes. This approach makes it possible to eliminate processing inaccuracies, design errors, and decrease pre-production costs. Mathematical modeling improves the production culture and enables prediction of processing accuracy at the process design stage. Objectives. The study is aimed at developing and practically implementing the digital twin concept for precision hole (well) formation using rotating end multi-edge tools. Methods Applied. The models presented in the article are obtained using simulation modeling based on analytical methods grounded in fundamental physical laws, the basic principles of cutting and vibration mechanics, as well as the theory of plastic deformation of the material in the chip separation zone. The scientific novelty of the research lies in the development of a digital twin for surface formation, which for the first time considers the interrelation of chip separation and its effect on processing accuracy, taking into account cutting modes and tool vibration displacements. Result. The article presents a part of the methodological and mathematical software developed for the first time for the digital twin of hole (well) formation using rotating end multi-edge tools. The application of the digital twin in industrial practice has significant practical importance, as it enables accuracy verification of control programs for CNC machines and drilling equipment.

Keywords

holes and wells formation, rotating end multi-edge tools, chip separation, simulation modeling, accuracy verification of control programs, digital twin

For citation

Sergeev Yu.S., Gogolev V.P., Platov S.I., Sergeev S.V., Tolmachev E.V. Development of an Adaptive Intelligent Design Methodology Using Digital Twins of Subtractive Processes for Internal Surface Formation with Cutting Tools. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2026, vol. 24, no. 1, pp. 60-68. https://doi.org/10.18503/1995-2732-2026-24-1-60-68

Yuriy S. Sergeev – PhD (Eng.), Head of Department, South Ural State University, Chelyabinsk, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-1028-8346

Vadim P. Gogolev – degree-seeking applicant, South Ural State University, Chelyabinsk, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0009-0002-2085-302X

Sergey I. Platov – DrSc (Eng.), Head of Department, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0002-4868-4881

Sergey V. Sergeev – PhD (Eng.), Professor, South Ural State University, Chelyabinsk, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-7868-4295

Evgeniy V. Tolmachev – assistant, South Ural State University, Chelyabinsk, Russia.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0009-0004-4960-6828

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