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作 者:徐镜洲 张涵茹 Xu Jingzhou;Zhang Hanru(China Flight Test Research Institute,Xi’an 710089)
出 处:《中阿科技论坛(中英文)》2022年第8期145-149,共5页China-Arab States Science and Technology Forum
摘 要:航空发动机叶片的工作环境较差,加上结构较为复杂,容易出现失效现象。为此,文章采用多频涡流检测方法对自然缺陷叶片进行检测,分析总结了缺陷处的信号特征,研究了探头走向、激励频率、裂纹位置及取向等条件对输出结果的影响,并就如何减小提离效应、边缘效应、厚度变化及榫头信号等因素对实验结果的干扰进行了探讨,总结提出了一套完整的叶片检测方案。The poor working environment of aero-engine blades,coupled with a complex structure,makes them prone to failure.To this end,the article adopted multi-frequency eddy current detection method to detect the natural defective blade,examined and summarized the signal characteristics at the defect,studied the influence of various factors such as probe orientation,excitation frequency,crack location and orientation on the output results,and further discussed how to reduce the impact of lifting effect,edge effect,thickness variation and mortise signal on the experimental results,in the end,a complete set of blade inspection scheme was proposed.
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