Volume 40 Issue 6
Jun.  2025
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LIU Zhun, LIAO Mingfu, LI Wei, et al. Optimization theory of vibration energy transmission for mid turbine frame dual rotor system[J]. Journal of Aerospace Power, 2025, 40(6):20230807 doi: 10.13224/j.cnki.jasp.20230807
Citation: LIU Zhun, LIAO Mingfu, LI Wei, et al. Optimization theory of vibration energy transmission for mid turbine frame dual rotor system[J]. Journal of Aerospace Power, 2025, 40(6):20230807 doi: 10.13224/j.cnki.jasp.20230807

Optimization theory of vibration energy transmission for mid turbine frame dual rotor system

doi: 10.13224/j.cnki.jasp.20230807
  • Received Date: 2023-12-20
    Available Online: 2024-12-14
  • In order to optimize the unbalance response feature of a mid turbine frame dual rotor system, and can make it operate stably within a large speed range under the same unbalance mass, a simplified particles system was established based on the mid turbine frame dual rotor system. It was proved that there was vibration energy transmission between the particles in the simplified particles system based on the dynamic vibration absorber theory deduction. The stiffness combination and damping conditions with the best vibration energy transmission efficiency were calculated. According to the ideas above, the support stiffness of a dual-rotor system test rig with mid turbine frame was optimized. The finite element method was used to analyze the rotor dynamics feature and its unbalance response. The result showed that the rotor system also had a similar vibration energy transmission phenomenon. After the optimization, the strain energy proportion of the power turbine shaft in the key mode decreased by more than 31.9%. Compared with the unoptimized rotor system, the unbalance response of power turbine shaft decreased by more than 73.0% and the response of the power turbine disk dedcreased by more than 55.3%, indicating that using the vibration energy transmission method to optimize a mid turbine frame dual rotor system can reduce the unbalanced response of the system effectively.

     

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