Effects of Unbalance Identification Locations on Transient Dynamic Balancing Without Trial Weights Performance of Power Turbine Rotor

This study proposes a dynamic balancing method without trial weights for power turbine rotors and investigates how the axial location chosen for unbalance identification affects the balancing performance. A finite element model of the power turbine rotor system was established to compute transient vibration responses and principal modes. Both continuous and isolated unbalances are employed to identify unbalanced excitation forces, enabling the determination of unbalance parameters. Furthermore, variations in identification accuracy across four designated axial positions on the rotor were analyzed. Simulations and experiments conducted on boss 2 and boss 3 confirmed the method's efficacy: the maximum vibration amplitudes were reduced by 70.48% and 45.81% for boss 2, and by 64.48% and 61.00% for boss 3, respectively. These results verify the effectiveness of the proposed method. The unbalance parameters identified from simulations exhibited errors within ±6°, ±0.12 g, and ±0.15 × 10<sup>-4</sup> m, while experimental errors remained within ±5°, ±0.11 g, and ±0.10 × 10<sup>-4</sup> m, demonstrating high accuracy and reliability. Notably, this method improves balancing efficiency by requiring only a single startup and facilitates vibration data acquisition in confined spaces.

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Publication Details

Journal
Sensors
Published
2025-11-27
DOI
https://doi.org/10.3390/s25237242
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of Unbalance Identification Locations on Transient Dynamic Balancing Without Trial Weights Performance of Power Turbine Rotor

Chao Fu, Yongfeng Yang, Zhihua Nie, Xingmin Ren et al.
Sensors
Magnetic Bearings and Levitation Dynamics
article

Effects of Unbalance Identification Locations on Transient Dynamic Balancing Without Trial Weights Performance of Power Turbine Rotor

Chao Fu, Yongfeng Yang, Zhihua Nie, Xingmin Ren, Shibo Zhao, Wangqun Deng, Jiepeng Zhao
article en

Abstract

This study proposes a dynamic balancing method without trial weights for power turbine rotors and investigates how the axial location chosen for unbalance identification affects the balancing performance. A finite element model of the power turbine rotor system was established to compute transient vibration responses and principal modes. Both continuous and isolated unbalances are employed to identify unbalanced excitation forces, enabling the determination of unbalance parameters. Furthermore, variations in identification accuracy across four designated axial positions on the rotor were analyzed. Simulations and experiments conducted on boss 2 and boss 3 confirmed the method's efficacy: the maximum vibration amplitudes were reduced by 70.48% and 45.81% for boss 2, and by 64.48% and 61.00% for boss 3, respectively. These results verify the effectiveness of the proposed method. The unbalance parameters identified from simulations exhibited errors within ±6°, ±0.12 g, and ±0.15 × 10<sup>-4</sup> m, while experimental errors remained within ±5°, ±0.11 g, and ±0.10 × 10<sup>-4</sup> m, demonstrating high accuracy and reliability. Notably, this method improves balancing efficiency by requiring only a single startup and facilitates vibration data acquisition in confined spaces.

SensorsVol. 25(23)
Northwestern Polytechnical University (CN), Aero Engine Corporation of China (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 54%
Magnetic Bearings and Levitation Dynamics
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Effects of Unbalance Identification Locations on Transient Dynamic Balancing Without Trial Weights Performance of Power Turbine Rotor — Chao Fu, Yongfeng Yang, et al. · Sensors (2025) | TGRS Research Map | TGRS