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Title | Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach |
Authors |
Verbovyi, Anton Yevhenovych
![]() Khomenko, Vladyslav Volodymyrovych Neamtu, C. Pavlenko, V. Symonovskyi, Vitalii Iovych Pavlenko, Ivan Volodymyrovych ![]() |
ORCID |
http://orcid.org/0000-0002-7805-4733 http://orcid.org/0000-0002-6136-1040 |
Keywords |
centrifugal machine process innovation critical frequency finite element analysis Campbell diagram |
Type | Article |
Date of Issue | 2022 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/89448 |
Publisher | Sumy State University |
License | Creative Commons Attribution 4.0 International License |
Citation | Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Simonovskiy V., Pavlenko I. (2022). Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach. Journal of Engineering Sciences, Vol. 9(2), pp. D1-D5, doi: 10.21272/jes.2022.9(2).d1 |
Abstract |
The article is devoted to improving methods for designing a finite element model of rotor dynamics. For
this purpose, numerical implementation of the authors’ computer program “Critical frequencies of the rotor” was
developed based on the computer algebra system MathCAD. As a result of the scientific work, a refined
mathematical model of rotor dynamics using finite beam elements was created. This model considers the dependence
of the radial stiffness characteristics of the bearing supports on the values of the critical frequencies. The reliability of
the mathematical model was justified by the permissible differences of the obtained results within 2% compared with
the results of finite element analysis using the ANSYS software. The theorem was also proven by the mutual location
of the spectra of the natural and critical frequencies. Overall, the proposed scientific approach reduces preparation
and machine time compared to numerical modeling using the ANSYS software without losing the accuracy of the
calculations. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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Verbovyi_jes_2_2022.pdf | 525.3 kB | Adobe PDF | 344114117 |
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