Transactions of Nanjing University of Aeronautics & Astronautics
Research on Automatic Test System of Engine Blade Natural Frequency
Author:
Affiliation:

1.College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China;2.College of Mechanical Engineering, Nanjing Institute of Industry Technology, Nanjing 210016, P. R. China

Clc Number:

TP273

Fund Project:

This work was supported by the National Natural Science Foundation of China (No.51975293), Aeronautical Science Foundation of China (No.2019ZD0520-10) and Postgraduate Research & Practice Innovation Program of NUAA (No.xcxjh20230502).

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    Abstract:

    Blades are one of the important components on aircraft engines. If they break due to vibration failure, the normal operation of the entire engine will be offected. Therefore, it is necessary to measure their natural frequency before installing them on the engine to avoid resonance. At present, most blade vibration testing systems require manual operation by operators, which has high requirements for operators and the testing process is also very cumbersome. Therefore, the testing efficiency is low and cannot meet the needs of efficient testing. To solve the current problems of low testing efficiency and high operational requirements, a high-precision and high-efficiency automatic test system is designed. The testing accuracy of this system can reach ±1%, and the testing efficiency is improved by 37% compared to manual testing. Firstly, the influence of compression force and vibration exciter position on natural frequency test is analyzed by amplitude-frequency curve, so as to calibrate servo cylinder and four-dimensional motion platform. Secondly, the sine wave signal is used as the excitation to sweep the blade linearly, and the natural frequency is determined by the amplitude peak in the frequency domain. Finally, the accuracy experiment and efficiency experiment are carried out on the developed test system ,whose results verify its high efficiency and high precision.

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LU Yonghua, LIU Jingjing, YANG Haibo, HUANG Chuan, MA Zhicheng. Research on Automatic Test System of Engine Blade Natural Frequency[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2024,(4):476-487

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History
  • Received:April 08,2024
  • Revised:August 16,2024
  • Adopted:
  • Online: August 25,2024
  • Published:

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