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风扇叶片外物撞击监测识别试验
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V231.92

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中航工业联合基金项目(风扇叶片外物撞击飞行监测与评估技术研究6141B05110404)


Detection and Identification Test of an Impact on Fan Blade by Foreign Object
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    摘要:

    为开展基于非接触叶尖振动测量的风扇叶片外物撞击监测识别技术研究,设计搭建了风扇叶片外物撞击监测识别试验平台,开展了不同弹体质量、发射速度、风扇转速等工况下的外物撞击试验。利用高速摄像机对外物撞击识别结果进行了检验,初步给出了外物撞击判定准则。分析了不同弹体质量、转速条件下系统识别准确率的差异,以及不同撞击因素与叶尖振动之间的定性规律。分析得出:外物撞击监测识别系统能[JP2]够准确识别出撞击事件以及撞击叶片编号;风扇转速在1 800~4 000 r/min范围内,当弹体质量大于2.90 g时,系统的识别准确率达到了100%,这为后续建立外物撞击智能监测识别方法提供了重要的试验数据和依据。

    Abstract:

    In order to study the detection and identification technology of foreign object impact on fan blade at noninterference blade tip vibration measurement, a fan blade test platform for detection and identification of foreign object impact is designed and built. Lots of experiments are carried out under different working conditions such as projectile mass、launching speed and fan speed. The criterion of foreign object impact identification is preliminarily given before the identification results are verified at high speed camera. The difference of the recognition accuracy under different projectile mass and rotating speed conditions, and qualitative rule between impact factors and blade tip vibration is analyzed. The result shows that the detection and identification system could accurately determine the impact event with the number of impact blade. The identification accuracy of the system reaches 100% under conditions of fan speed within the range of 1800~4000 r/min, and the mass of the projectile is greater than 2.90 g. The above mentioned provides important test data and basis for establishing intelligent detection and identification methods for foreign object impact.

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雷晓波,董彦非,王茜.风扇叶片外物撞击监测识别试验[J].空军工程大学学报,2021,22(3):23-28

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  • 在线发布日期: 2021-07-19
  • 出版日期: 2021-06-30