Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission

被引：28
|
作者：
Zhang, Zhiheng [1 ]
Yang, Guoan [1 ]
Hu, Kun [1 ]
机构：
[1] Beijing Univ Chem Technol, Coll Mech & Elect Engn, Beijing 100029, Peoples R China
来源：
SENSORS | 2018年 / 18卷 / 05期
基金：
中国国家自然科学基金;
关键词：
acoustic emission; gas turbine engine blades; fatigue life prediction; fatigue crack propagation; FAILURE ANALYSIS; OPTICAL-FIBER; DAMAGE;
D O I：
10.3390/s18051321
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Fatigue failure is the main type of failure that occurs in gas turbine engine blades and an online monitoring method for detecting fatigue cracks in blades is urgently needed. Therefore, in this present study, we propose the use of acoustic emission (AE) monitoring for the online identification of the blade status. Experiments on fatigue crack propagation based on the AE monitoring of gas turbine engine blades and TC11 titanium alloy plates were conducted. The relationship between the cumulative AE hits and the fatigue crack length was established, before a method of using the AE parameters to determine the crack propagation stage was proposed. A method for predicting the degree of crack propagation and residual fatigue life based on the AE energy was obtained. The results provide a new method for the online monitoring of cracks in the gas turbine engine blade.
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收藏
页数：13
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