Guided wave multi-frequency damage imaging method of aero-engine blades

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2024-10-29 DOI:10.1016/j.measurement.2024.116080

Zhiyuan Zhang, Yanqi Wang, Chaolong Xue, Xunjie Lv, Bing Li

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引用次数: 0

Abstract

The intricate structural characteristics and anisotropic material properties of aero-engine blades pose challenges to accurate damage detection of guided waves. This research introduces a multi-frequency damage imaging method for blades. By accounting for the curved propagation path resulting from thickness variations, this method enhances the precision of damage localization. The material anisotropy contributes to frequency-dependent velocity anisotropy. Damage locus identified through echo times at different frequencies converges solely at the damage site, reducing the sensor count required in the detection system. Experimental validation of curved propagation path and frequency-dependent velocity anisotropy in a blade is conducted. Damage localization within the blade is successfully achieved with only two sensors. The imaging results of the multi-frequency imaging method, exhibit the capability to diminish sensor requirements while enhancing imaging accuracy. This method holds promise for real-time monitoring of composite materials with variable thickness.

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航空发动机叶片的导波多频损伤成像方法

航空发动机叶片错综复杂的结构特点和各向异性的材料特性给导波的精确损伤检测带来了挑战。本研究介绍了一种叶片多频损伤成像方法。通过考虑厚度变化导致的弯曲传播路径，该方法提高了损伤定位的精度。材料的各向异性导致了随频率变化的速度各向异性。通过不同频率的回波时间确定的损伤位置仅在损伤部位汇聚，从而减少了检测系统所需的传感器数量。对叶片中的弯曲传播路径和随频率变化的速度各向异性进行了实验验证。仅用两个传感器就成功实现了叶片内的损伤定位。多频率成像方法的成像结果表明，该方法能够在提高成像精度的同时降低对传感器的要求。这种方法有望对厚度可变的复合材料进行实时监测。

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

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.