Preview

Russian Technological Journal

Advanced search

Mathematical modeling in the development of complex objects in mechanical engineering

https://doi.org/10.32362/2500-316X-2026-14-5-94-105

EDN: QXBHCR

Abstract

   Objectives. This paper considers the role of mathematical modeling in the development of complex assemblies and components in mechanical engineering, especially in terms of predicting the operational behavior of assemblies, as well as that of housing components during machining at the design stage.

   Particular attention is paid to the difficulties arising from the multifactorial nature, uncertainty, and nonlinearity of the objects under study, as well as the high reliability requirements of the products being manufactured.

   The development of a variational approach for assessing the rigidity of assemblies and the stability of components during machining is presented.

   Methods. Among the mathematical modeling approaches used at various stages of development, particular attention is paid to finite element analysis, which allows for a detailed study of the mechanical stresses experienced by structural elements during the manufacture and machining of complex components. Analytical techniques are employed to analyze the specific features of forming mathematical models of complex assemblies. The parametric identification method is used to determine the mechanical characteristics of complex components.

   Results. The need to integrate computer technologies and experimental research to improve the efficiency of mechanical engineering design and manufacturing processes is substantiated. The key stages and approaches to creating mathematical models of complex objects are outlined on examples of the successful implementation of numerical analysis and computational mechanics methods in component manufacturing. Experiments revealed that the current theories for modeling complex objects demonstrate a high level of model adequacy.

   Conclusions. The parametric identification method is shown to be suitable for analyzing critical loads on load-bearing components of complex assemblies and in the design of highly loaded components that require high rigidity and stability during machining.

About the Authors

A. V. Lutyanov
MIREA – Russian Technological University
Russian Federation

Alexandr V. Lutyanov, Cand. Sci. (Eng.), Associate Professor

Institute for Advanced Technologies and Industrial Programming; Department of Digital and Additive Technologies

119454; 78, Vernadskogo pr.; Moscow

Scopus Author ID 57406852900, ResearcherID PLC-5909-2026


Competing Interests:

The authors declare no conflicts of interest



A. S. Krasko
MIREA – Russian Technological University
Russian Federation

Alexandr S. Krasko, Cand. Sci. (Eng.), Associate Professor

Institute for Advanced Technologies and Industrial Programming; Department of Digital and Additive Technologies

119454; 78, Vernadskogo pr.; Moscow

Scopus Author ID 57204283028, ResearcherID ABF-2790-2020


Competing Interests:

The authors declare no conflicts of interest



N. S. Baranova
MIREA – Russian Technological University
Russian Federation

Natalia S. Baranova, Cand. Sci. (Eng.), Associate Professor

Institute for Advanced Technologies and Industrial Programming; Department of Digital and Additive Technologies

119454; 78, Vernadskogo pr.; Moscow

Scopus Author ID 57204288324, ResearcherID PLS-4118-2026


Competing Interests:

The authors declare no conflicts of interest



References

1. Vaughan W. Digital modeling: transl. from Engl. Moscow: DMK Press; 2022, 430 p. (In Russ.). ISBN 978-5-97060-991-0 [Vaughan W. Digital modeling. New Riders Pub; 2012, 410 p. ISBN 978-0321700896]

2. Dér A., Kaluza A., Reimer L., Herrmann C., Thieds S. Integration of Energy Oriented Manufacturing Simulation into the Life Cycle Evaluation of Lightweight Body Parts. Int. J. Precis. Eng. and Manuf.-Green Tech. 2022;9(3):899–918. doi: 10.1007/s40684-021-00412-w

3. Chaim O., Muschard B., Cazarini E., Razenfeld H. Insertion of sustainability performance indicators in an industry 4.0 virtual learning environment. Procedia Manufacturing. 2018;21:446–453. doi: 10.1016/j.promfg.2018.02.143

4. Lutyanov A.V., Kislova A.V. Reverse Engineering for Technological Processes. Sborka v mashinostroenii, priborostroenii = Assembling in Mechanical Engineering and Instrument-Making. 2026;27(1):36–42 (in Russ.).

5. Myshechkin A.A., Lutyanov A.V., Kravchenko I.N., Belousov I.V., Lim A.A., Shumilo E.A. Influence study of technological parameters and modes of FDM-technology on product properties. Tekhnologiya Metallov. 2022;1:29–35 (in Russ.). https://elibrary.ru/nutmlz

6. Logan D.L. A First Course in the Finite Element Method. Cengage Learning; 2016, 992 p. ISBN 9781305887176

7. Zienkiewicz O.C., Taylor R.L. The Finite Element Method for Solid and Structural Mechanics. 7<sup>th</sup> ed. Butterworth-Heinemann; 2013, 672 p. ISBN 9780080951362

8. Wang J., Ma Y., Zhang L., Gao R.X., Wu D. Deep Learning for Smart Manufacturing: Methods and Applications. J. Manufacturing Syst. 2018;48(Part C):144–156. doi: 10.1016/j.jmsy.2018.01.003

9. Lutyanov A.V., Kukharev D.A. Development of computer-aided design systems to improve the manufacturing accuracy of complex parts. Tekhnologiya Mashinostroeniya. 2024;10:31–38 (in Russ.). https://www.elibrary.ru/krxnxq

10. Gorshkov A.G., Tarlakovskii D.V. Dinamicheskie kontaktnye zadachi s podvizhnymi granitsami (Dynamic Contact Problems with Moving Boundaries). Moscow: Nauka; 1995, 350 p. (In Russ.). ISBN 5-02-014700-1

11. Lutyanov A.V. Features of an Electronic Model of the Part for the Development of the Technological Process. Kuznechno-shtampovochnoe proizvodstvo. Obrabotka materialov davleniem = Forging and Stamping Production. Material Working by Pressure. 2024;11:44–47 (in Russ.). https://www.elibrary.ru/deghhq

12. Krasnobaev T.A., Afanasyev M.A. Study of the Functional Capabilities of the Ansys Workbench Software Package for Solving Problems of Calculating the Stress-Strain State of Metal Structures. In: Proceedings of the 8<sup>th</sup> International Scientific and Practical Conference of Students, Postgraduates, and Young Scientists, Dedicated to the Celebration of the 300<sup>th</sup> Anniversary of the Russian Academy of Sciences. Omsk, 2024. P. 537–541 (in Russ.). https://elibrary.ru/iqhvht

13. Nikulin E.A. Komp’yuternaya grafika. Modeli i algoritmy (Computer Graphics. Models and Algorithms). St. Petersburg: Lan; 2026, 708 p. (in Russ.). ISBN 978-5-507-51336-9

14. Isroilov Sh.N., Choriev E.E. Modeling of the stress-strain state. Universum: technical sciences. 2021;7(88) (in Russ.). Available from URL: https://7universum.com/ru/tech/archive/item/12065. Accessed August 17, 2026.

15. Smerdov An.A., Smerdov Al.A. Stroitel’naya mekhanika kompozitnykh konstruktsii raketno-kosmicheskoi tekhniki. Kurs lektsii (Structural Mechanics of Composite Structures of Rocket and Space Technology. Lecture Course). Moscow: Bauman Press; 2021, 162 p. (in Russ.). ISBN 978-5-7038-5618-5. Available from URL: https://e.lanbook.com/book/461027. Accessed August 17, 2026.

16. Hibbeler R.C. Engineering Mechanics: Dynamics. 14<sup>th</sup> ed. Pearson; 2016, 760 p. ISBN 9780133915389. Available from URL: https://books.google.ru/books?id=8OfYrQEACAAJ&redir_esc=y. Accessed August 17, 2026.


Review

For citations:


Lutyanov A.V., Krasko A.S., Baranova N.S. Mathematical modeling in the development of complex objects in mechanical engineering. Russian Technological Journal. 2026;14(5):94-105. https://doi.org/10.32362/2500-316X-2026-14-5-94-105. EDN: QXBHCR

Views: 49

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)