Quantitative Analysis of Aeroengine Turbine Disk Surface Crack under Natural Magnetic Field

IF 1 4区材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Research in Nondestructive Evaluation Pub Date : 2022-05-04 DOI:10.1080/09349847.2022.2105458

Ping Fu, Bo Hu, Weitao Luo, Shaofei Wang, X. Lan

引用次数: 0

Abstract

ABSTRACT Aiming at surface cracks of aeroengine turbine disk, a weak magnetic detection technology without excitation is proposed. Signal processing is performed using blind source separation (BSS). Support vector machine (SVM) is used to realize quantitative evaluation. Four nickel-base superalloy test blocks with defects are designed. The magnetic induction intensity of the test block is collected by a weak magnetic detection instrument. Then, the signal processing based on BSS is carried out. Finally, SVM is used to quantitatively analyze the weak magnetic signal before and after BSS. Results show that SVM estimation accuracy of defect length, width, and depth is 90%, 94%, and 71% after BSS, respectively. These findings are 14%, 8%, and 23% higher than the estimation accuracy prior to BSS.

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自然磁场作用下航空发动机涡轮盘表面裂纹的定量分析

针对航空发动机涡轮盘表面裂纹，提出了一种无激励弱磁检测技术。信号处理采用盲源分离(BSS)。采用支持向量机(SVM)实现定量评价。设计了4个含缺陷的镍基高温合金试块。测试块的磁感应强度由弱磁检测仪采集。然后，进行了基于BSS的信号处理。最后，利用支持向量机对BSS前后的弱磁信号进行定量分析。结果表明，经过BSS处理后，SVM对缺陷长度、宽度和深度的估计准确率分别为90%、94%和71%。这些结果比BSS之前的估计精度提高了14%，8%和23%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Research in Nondestructive Evaluation 工程技术-材料科学：表征与测试

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Research in Nondestructive Evaluation® is the archival research journal of the American Society for Nondestructive Testing, Inc. RNDE® contains the results of original research in all areas of nondestructive evaluation (NDE). The journal covers experimental and theoretical investigations dealing with the scientific and engineering bases of NDE, its measurement and methodology, and a wide range of applications to materials and structures that relate to the entire life cycle, from manufacture to use and retirement. Illustrative topics include advances in the underlying science of acoustic, thermal, electrical, magnetic, optical and ionizing radiation techniques and their applications to NDE problems. These problems include the nondestructive characterization of a wide variety of material properties and their degradation in service, nonintrusive sensors for monitoring manufacturing and materials processes, new techniques and combinations of techniques for detecting and characterizing hidden discontinuities and distributed damage in materials, standardization concepts and quantitative approaches for advanced NDE techniques, and long-term continuous monitoring of structures and assemblies. Of particular interest is research which elucidates how to evaluate the effects of imperfect material condition, as quantified by nondestructive measurement, on the functional performance.