Analysis of random mistuning vibration characteristics of multi-stage bladed disk system

Xiaomei You; Haiyu Feng; Hongyuan Zhang; Jiansong Wang

doi:10.1117/12.3007321

25 October 2023 Analysis of random mistuning vibration characteristics of multi-stage bladed disk system

Xiaomei You, Haiyu Feng, Hongyuan Zhang, Jiansong Wang

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128011E (2023) https://doi.org/10.1117/12.3007321
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

In order to investigate the relationship between the mistuning of the aeroengine compressor multistage bladed disk structure and the maximum amplitude of vibration response, a three-stage bladed disk lumped parameter model with inter-stage coupling was established, and Monte Carlo sampling technique was used to simulate the random mistuning mode of the stiffness of the bladed disk system. The vibration response of the three-stage blending-disk system in the harmonic and mistuning state is obtained by analyzing the vibration response of each vibration mode. The results show that the amplitude of the bladed disk system can be reduced by increasing the damping value. In the case of mistuning, the displacement of the bladed disk system and the maximum amplitude of spectrum analysis are larger than those in the case of harmonic. With the gradual increase of the standard deviation of stiffness mistuning, the system response displacement is gradually enhanced, and the maximum response amplitude is obtained at the upper bound point of mistuning strength. So, there is no so-called mistuning 'threshold' condition.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaomei You, Haiyu Feng, Hongyuan Zhang, and Jiansong Wang "Analysis of random mistuning vibration characteristics of multi-stage bladed disk system", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128011E (25 October 2023); https://doi.org/10.1117/12.3007321

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KEYWORDS

Vibration

Analytic models

Monte Carlo methods

Differential equations

Spectral response

Spectrum analysis

Analytical research

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