Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
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|
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Article Number | 01008 | |
Number of page(s) | 5 | |
Section | I Environmental Risks and Safety in Mechanical Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202337601008 | |
Published online | 31 March 2023 |
Hydroerosion probabilistic modeling during surface layer quality ultrajet mesodiagnostics of aviation, rocket, and space equipment
Bauman Moscow State Technical University (BMSTU), 2nd Baumanskaya Str., bldg. 1, 105005, Moscow, Russian Federation
* Corresponding author: galcomputer@mail.ru
At present, deterministic approaches to the hydroerosion processes modeling, which is the informative-physical basis of ultrajet mesodiagnostics (UJM), significantly prevail over other methods of analysis. This contradicts the probabilistic nature of local hydroerosion, which is caused by the formation of an array of eroded particles with highly variable mass-geometric parameters reflecting the realities of the initial microdefects distribution in the surface layer of the analyzed object (OA). Therefore, probabilistic modeling is a physically more reasonable tool for describing multi-factor processes in the ultrajet interactions zone, including the peculiarities of ultrajet hydroerosion. Hence, this paper proposes a probabilistic approach to modeling the process of hydroerosion damage, based on the separation of the particle from the material surface as a result of the interaction of necessary and sufficient conditions for dispersion. The obtained calculation data (probabilistic analysis) are close to the results of live experiments, which, in turn, allows recommending this approach of mathematical formalization of the minimally invasive quality control method using complicated configuration parts surface properties ultrajet mesodiagnostics, and also OA produced from anisotropic materials, widely used in aviation, rocket, and space technology.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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