A MODEL FOR PREDICTING THE RESOURCE PARAMETERS OF PRODUCTS BY MESO-DIAGNOSING THEIR FUNCTIONAL DAMAGE DURING OPERATION
- Authors: Borzov A.A.1, Grigoriev A.S.2, Seina Y.D.3, Puzakov V.S.4,5, Kasenov A.Z.6, Safronova N.N.7
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Affiliations:
- Lomonosov Moscow State University
- National Research Center "Kurchatov Institute"
- Bauman Moscow State Technical University
- National Research University "MEI"
- LLC "Bureau Energetika"
- Toraighyrov University
- Association of Nuclear Industry Construction Organizations
- Issue: No 1 (2025)
- Pages: 109-116
- Section: DIAGNOSTIC METHODS FOR ENSURING RELIABILITY AND QUALITY OF COMPLEX SYSTEMS
- URL: https://journals.rcsi.science/2307-4205/article/view/289988
- DOI: https://doi.org/10.21685/2307-4205-2025-1-14
- ID: 289988
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Abstract
Background. It is shown that the mesodiagnostic apparatus allows solving problems not only of express assessment of the condition of materials and products, taking into account their current damage, but also to carry out resource and operational forecasting of changes in this condition. Materials and methods. A model is proposed that combines the results of mesodiagnosis of damage to the material of products with the residual resource of their reliable operation into a single functional complex. The main information and physical parameter of the model is the time of the mesodiagnostic operation, during which the diagnosed material reaches a critical level of damage. In particular, it has been analytically established that carrying out two mesodiagnostic operations at different times of operation of products makes it possible to unambiguously judge the value of its residual life. A distinctive feature of the proposed forecasting model is the absence in its structure of absolute values of damage to products, for example, the material of their surface layer. This circumstance emphasizes the generality and practical importance of the model in solving the corresponding tasks of predictive analysis of the functional quality of various materials and products made from them. It is noted that the main problem of the practical implementation of the proposed approach to operational and resource modeling is the choice of the most physically informative method of mesodiagnosis of damage to the material of products. As such a method, it is proposed to use an apparatus for energy-extreme hydrojet diagnostics, which has wide physical and technological capabilities for identifying condition parameters, including damage to the material of the surface layer of various products. Results and conclusions. The prospects for further use of the proposed mesodiagnostic approach and the model obtained on its basis, as well as its other functional modifications, are outlined. In particular, the realism of accelerated determination of the operational and technological characteristics of new materials through the development of appropriate engineering techniques was noted.
About the authors
Aleksandr A. Borzov
Lomonosov Moscow State University
Author for correspondence.
Email: a.a.barzov@gmail.com
Doctor of technical sciences, professor of the sub-department of rocket and space engineering technology, leading researcher
(1 Leninskie gory, Moscow, Russia)Aleksandr S. Grigoriev
National Research Center "Kurchatov Institute"
Email: Grigoriev_AS@nrcki.ru
Candidate of technical sciences, head of department
(1 Akademik Kurchatov square, Moscow, Russia)Yana D. Seina
Bauman Moscow State Technical University
Email: yaseina@yandex.ru
Master degree student
(build. 4, 5 2nd Baumanskaya street, Moscow, Russia)Vyacheslav S. Puzakov
National Research University "MEI"; LLC "Bureau Energetika"
Email: PuzakovVS@mail.ru
Candidate of technical sciences, associate professor of the sub-department of industrial thermal power systems; General director
(build. 1, 14 Krasnokazarmennaya street, Moscow, Russia); (5 Vorovskiy street, Ramenskoye, Russia)Assylbek Zh. Kasenov
Toraighyrov University
Email: asylbek_kasenov@mail.ru
Candidate of technical sciences, professor of the sub-department of mechanical engineering and standardization
(64 Lomova street, Pavlodar, Republic of Kazakhstan)Nataliya N. Safronova
Association of Nuclear Industry Construction Organizations
Email: safronova_nn@accni.ru
Candidate of economical sciences, deputy general director
(build. 1, 30/1 Obrucheva street, Moscow, Russia)References
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