Number of the records: 1
Electromagnetic Excitation for Blade Vibration Analysis in Static Conditions: Theoretical Insights and Experimental Evaluation
- 1.0600252 - ÚT 2025 RIV US eng J - Journal Article
Mekhalfia, Mohammed Lamine - Procházka, Pavel - Šmíd, R. - Bonello, P. - Russhard, P. - Maturkanič, Dušan - Mohamed, M.E. - Tchawou Tchuisseu, Eder Batista
Electromagnetic Excitation for Blade Vibration Analysis in Static Conditions: Theoretical Insights and Experimental Evaluation.
IEEE Transactions on Instrumentation and Measurement. Roč. 73, 2024-11-27 (2024), č. článku 6011008. ISSN 0018-9456. E-ISSN 1557-9662
Grant - others:AV ČR(CZ) StrategieAV21/27
Program: StrategieAV
Institutional support: RVO:61388998
Keywords : aero-compressor blade * magnetic excitation * static blade * vibration parameters
OECD category: Mechanical engineering
Impact factor: 5.6, year: 2023 ; AIS: 1.021, rok: 2023
Method of publishing: Limited access
Result website:
https://ieeexplore.ieee.org/document/10740953DOI: https://doi.org/10.1109/TIM.2024.3488153
Blade vibration testing is crucial for understanding the dynamic behavior of rotating machinery. This paper presents a theoretical analysis and experimental validation of electromagnetic excitation for blade vibration testing in static conditions. The study focuses on investigating the effect of electromagnets on static blades to establish a theoretical foundation. The Timoshenko beam theory is utilized to analyze the vibration parameters, including amplitude and frequency, while considering associated uncertainties. The theoretical analysis is complemented by numerical modeling using the finite element method and experimental measurements employing Laser Doppler Vibrometry (LDV). The results demonstrate the effectiveness of electromagnetic excitation in generating controlled vibrations in static blades. These findings provide valuable insights and serve as a basis for subsequent investigations into the behavior of blades during rotation. The mathematical model’s frequency estimation error was approximately 4% compared to numerical results, and the numerical amplitude results differed by 6.4% from the experimental measurements. These contributions enhance the understanding and design of blade vibration monitoring systems in rotating machinery and provide valuable information on the blade’s dynamic parameters for the calibration of blade tip timing systems.
Permanent Link: https://hdl.handle.net/11104/0357960
Number of the records: 1