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基于微波时间反演算法的复合材料内部损伤检测
          
Internal damage detection of composite materials based on microwave time reversal algorithm

摘    要
复合材料具有其优异的性能而被广泛应用于航空航天、电子和医疗等领域。然而,在复合材料的生产或使用过程中,难以避免地会产生裂纹、空洞、分层、脱黏等损伤,对复合材料的使用安全造成严重影响。因此,检测复合材料的损伤具有十分重要的意义。微波检测技术具有非接触、实时、高效、高对比度等优势。同时,微波时间反演算法可以为微波检测技术带来自适应聚焦和高分辨率的优势,因此,基于微波时间反演算法的微波检测技术在复合材料的无损检测中具有巨大潜力。文章基于微波时间反演算法和积分能量法对复合材料内部较小损伤进行检测,研究了不同传感器排列方式和传感器数量对检测结果的影响,讨论了提升检测质量的关键因素,实现了复合材料内部较小损伤的检测。
标    签 复合材料   无损检测   微波检测   时间反演算法   composite material   nondestructive testing   microwave inspection   time reversal algorithm  
 
Abstract
Composite materials are widely used in various fields, such as aerospace, electronics, and medicine, due to their excellent performance. However, during the production and application of composite materials, damage such as cracks, voids, delaminations, and disbonds occur inevitably, seriously affecting composite material's use safety. Therefore, the damage detection of composite materials is of great significance. Microwave imaging has advantages such as non-contact, real-time, efficient, and high contrast. At the same time, the microwave time reversal algorithm can provide the advantages of auto-focus and high resolution for microwave imaging. Therefore, microwave imaging based on the microwave time reversal algorithm has great potential in the nondestructive testing of composite materials. This paper was based on the microwave time reversal algorithm and the integral energy method to detect small buried damage in composite materials. The influence of different sensor arrangements and numbers on the detection results were studied. The key factors to improve the quality of results were discussed, and the detection of small buried damage in composite materials was achieved.

中图分类号 TG115. 28   DOI 10.11973/wsjc202309009

 
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所属栏目 2023远东无损检测新技术论坛论文精选

基金项目 国家自然科学基金资助面上项目(62171376)

收稿日期 2023/7/13

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备注安康(1997-),男,硕士研究生,主要从事电磁场与微波技术的研究工作,kang.an@mail.nwpu.edu.cn

引用该论文: AN Kang,LI Changyou,DING Jun. Internal damage detection of composite materials based on microwave time reversal algorithm[J]. Nondestructive Testing, 2023, 45(9): 43~48
安康,李长侑,丁君. 基于微波时间反演算法的复合材料内部损伤检测[J]. 无损检测, 2023, 45(9): 43~48


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