首页|发动机叶片固有频率自动化测试系统研究

发动机叶片固有频率自动化测试系统研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
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叶片是航空发动机上的重要零部件之一,若因振动失效而断裂会影响整个发动机的正常工作,因此需在将叶片安装到发动机上之前检测其固有频率,避免共振现象发生.目前大多数叶片振动测试系统均需操作人员手动操作,对操作人员要求较高,测试过程也十分繁琐,因此测试效率较低,无法满足高效测试的需求.为解决目前存在的测试效率低、操作要求高等问题,设计了一套高精度、高效率的自动化测试系统.该系统的测试精度可达±1%,相比于人工测试效率提升37%.首先,通过幅频曲线分析压紧力、激振器位姿对固有频率测试的影响,从而对伺服电缸、四维运动平台进行标定;其次,选用正弦波信号作为激励对叶片进行线性扫频,通过频域内的振幅峰值确定固有频率;最后,研制的测试系统进行了准确性实验和效率实验,验证了系统的高效率、高精度.
Research on Automatic Test System of Engine Blade Natural Frequency
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.

bladevibration failurenatural frequencyautomatic test system

陆永华、刘京京、杨海波、黄川、马志成

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南京航空航天大学机电学院,南京 210016,中国

南京工业职业技术大学机械工程学院,南京 210016,中国

叶片 振动失效 固有频率 自动化测试系统

National Natural Science Foundation of ChinaAeronautical Science Foundation of ChinaPostgraduate Research&Practice Innovation Program of NUAA

519752932019ZD0520-10xcxjh20230502

2024

10.16356/j.1005?1120.2024.04.005

南京航空航天大学学报(英文版)
南京航空航天大学

南京航空航天大学学报(英文版)

CSTPCD
影响因子：0.279
ISSN：1005-1120
年,卷(期)：2024.41(4)