Detection of Vibrodiagnostic Signs of Working Body Acoustic Vibrations in GPA-16R “Ufa” Gas Channel.
In: Procedia Engineering, Jg. 176 (2017-02-05), S. 184-193
academicJournal
Zugriff:
This paper discusses the diagnostic signs used to monitor the technical condition of GCU (gas compressor units) in operation. The problem of detecting the impact of GCU design on their wave gas dynamics is solved, as well as detecting diagnostic signs of defects in engines during operation. To solve the problem, numerical methods for modeling of wave processes in conjunction with the methods of research of vibrating are used. A technique is created to detect signs of acoustic vibrations in the gas-dynamic flows of gas turbines, and estimate their effect on engine components. To improve the reliability of resonance detection in engine components, authors used numeric methods to estimate probability of resonances in various operating modes of GCUs. The methods involve a 3D modeling of input and output gas channels. Operating maps are plotted for individual engine components (high- and low-pressure compressors and turbines, combustion chamber). It was revealed that the design of the GCU affects aerodynamic vibrations, causing vibration and resonance in engine components at particular operating conditions. This may contribute to increased vibration in engine components, which leads to increased cyclic load values, and as a result decreases MTBF (mean time between failures) due to failure of the components. The developed technique allows monitoring the emergence of acoustic resonance zones when changing operating modes of gas pumping engines. Opportunities are emerging to assess the impact of vibration on technical condition of engine components, and to develop recommendations on altering the geometry of gas channels for the purpose of eliminating low-frequency pulsations of their working fluid. [ABSTRACT FROM AUTHOR]
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Titel: |
Detection of Vibrodiagnostic Signs of Working Body Acoustic Vibrations in GPA-16R “Ufa” Gas Channel.
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Autor/in / Beteiligte Person: | Krivosheev, I.A. ; Akimov, V.I. ; Kozhinov, D.G. |
Zeitschrift: | Procedia Engineering, Jg. 176 (2017-02-05), S. 184-193 |
Veröffentlichung: | 2017 |
Medientyp: | academicJournal |
ISSN: | 1877-7058 (print) |
DOI: | 10.1016/j.proeng.2017.02.287 |
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