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An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
- Source :
- Journal of Low Frequency Noise, Vibration and Active Control, Vol 40 (2021)
- Publication Year :
- 2021
- Publisher :
- SAGE Publishing, 2021.
-
Abstract
- Rotating blade is one of the most important components for turbomachinery. Blade crack is one of the most common and dangerous failure modes for rotating blade. Therefore, the fault mechanism and feature extraction of blade crack are vital for the safety assurance of turbomachinery. This study is aimed at the nonlinear dynamic model of rotating blade with transverse crack and the prior feature extraction of blade crack faults based on the vibration responses. First and foremost, a high-fidelity breathing crack model (HFBCM) for rotating blade is proposed on the basis of criterion for stress states at crack section. Since HFBCM is physically deduced from the perspective of energy dissipation and the coupling between centrifugal stress and bending stress is considered, the physical interpretability and the accuracy of the crack model are enhanced comparing with conventional models. The validity of the proposed HFBCM is verified through the comparison study among HFBCM, conventional crack models, and finite element-based contact crack model (FECCM). It is suggested that HFBCM behaves best among the analytical models and matches well with FECCM. With the proposed HFBCM, the nonlinear vibration responses are investigated, and four types of blade crack detection indicators for rotating blade and their quantification method are presented. The numerical study manifests that all these indicators can well characterize the occurrence and severity of crack faults for rotating blade. It is indicated that these indicators can serve as the crack-monitoring indexes.
- Subjects :
- Materials science
Acoustics and Ultrasonics
Blade (geometry)
Control engineering systems. Automatic machinery (General)
business.industry
Mechanical Engineering
Nonlinear vibration
Acoustics. Sound
QC221-246
02 engineering and technology
Building and Construction
Structural engineering
Fault (power engineering)
01 natural sciences
Mechanism (engineering)
020303 mechanical engineering & transports
Geophysics
0203 mechanical engineering
Mechanics of Materials
TJ212-225
0103 physical sciences
Turbomachinery
business
010301 acoustics
Civil and Structural Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 20484046 and 14613484
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Journal of Low Frequency Noise, Vibration and Active Control
- Accession number :
- edsair.doi.dedup.....bf5fbce6e51c68720b931e51a007cb5e