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Title | Parameter identification of nonlinear bearing stiffness for turbopump units of liquid rocket engines considering initial gaps and axial preloading |
Authors |
Verbovyi, Anton Yevhenovych
![]() Вербовый, Антон Евгеньевич Khomenko, Vladyslav Volodymyrovych Neamtu, C. Pavlenko, V. Cherednyk, M. Vashyst, Bohdan Viktorovych Pavlenko, Ivan Volodymyrovych ![]() |
ORCID |
http://orcid.org/0000-0002-7805-4733 http://orcid.org/0000-0002-6136-1040 |
Keywords |
bearing support axial force radial gap regression analysis artificial neural networks |
Type | Article |
Date of Issue | 2021 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/86320 |
Publisher | Sumy State University |
License | Creative Commons Attribution - NonCommercial 4.0 International |
Citation | Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Cherednyk M., Vashyst B., Pavlenko I. (2021). Parameter identification of nonlinear bearing stiffness for turbopump units of liquid rocket engines considering initial gaps and axial preloading. Journal of Engineering Sciences, Vol. 8(2), pp. D8-D11, doi: 10.21272/jes.2021.8(2).d2 |
Abstract |
This article is devoted to developing a mathematical model of nonlinear bearing supports for turbopump
units of liquid rocket engines considering initial gaps and axial preloading. In addition to the radial stiffness of the bearing
support, this model also considers the stiffness of the bearing cage, the rotational speed of the rotor, axial preloading of
the rotor (due to which the inner cage shifts relative to the outer, changing the radial stiffness of the support), as well as
radial gaps between contact elements of the bearings. This model makesit possible to calculate the stiffness of the bearing
supports more accurately. The proposed model is realized using both the linear regression procedure and artificial neural
networks. The model’s reliability is substantiated by the relatively small discrepancy of the obtained evaluation results
with the experimental data. As a result, this model will allow determining the critical frequencies of the rotor with greater
accuracy. The results have been implemented within the experience of designing turbopump units for State Company
“Yuzhnoye Design Office”. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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Verbovyi_jes_2_2021.pdf | 340.97 kB | Adobe PDF | 1249620880 |
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