High Quality Ultrasonic Imaging at Low Detection Frequency for Defects in Thick Composites

IF 2.4 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Journal of Nondestructive Evaluation Pub Date : 2025-02-07 DOI:10.1007/s10921-024-01155-9
Hui Zhang, Min Zhang, Haiyan Zhang, Yiting Chen, Wenfa Zhu, Qi Zhu
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Abstract

Improving detection accuracy without reducing detection depth has always been a challenge in ultrasound imaging. For multi-layer anisotropic carbon fiber reinforced polymers (CFRPs), the propagation path of ultrasonic waves becomes complex with severe attenuation. To improve the imaging accuracy of defects in CFRPs, a beam multiply and sum method suitable for full matrix data, FM-BMAS, has been proposed. This method introduces the spatial coherence of ultrasonic array signals through cross-multiplication operation. A new harmonic component is generated and high-quality imaging of side-drilled holes (SDHs) is achieved without affecting the detection depth. The FM-BMAS method can detect two SDHs with a diameter of 1 mm at a depth of 8 mm at 2.5 MHz detection frequency. In contrast, these defects cannot be visualized by the classical total focusing method due to ultrasonic attenuation even with 5 MHz detection frequency. Furthermore, FM-BMAS can achieve higher image resolution and superior noise suppression capabilities in CFRPs compared to other methods.

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厚复合材料缺陷的低检测频率高质量超声成像
在不降低检测深度的前提下提高检测精度一直是超声成像的难题。对于多层各向异性碳纤维增强聚合物(CFRPs),超声波的传播路径变得复杂,衰减严重。为了提高CFRPs缺陷的成像精度,提出了一种适用于全矩阵数据的光束乘和方法——FM-BMAS。该方法通过交叉乘法运算引入超声阵列信号的空间相干性。在不影响探测深度的情况下,产生了新的谐波分量,实现了侧钻孔的高质量成像。FM-BMAS方法可以在2.5 MHz检测频率下,在8 mm深度下检测到两个直径为1 mm的sdh。而在5 MHz的检测频率下,由于超声波的衰减,传统的全聚焦法也无法观察到这些缺陷。此外,与其他方法相比,FM-BMAS可以在CFRPs中实现更高的图像分辨率和更好的噪声抑制能力。
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来源期刊
Journal of Nondestructive Evaluation
Journal of Nondestructive Evaluation 工程技术-材料科学:表征与测试
CiteScore
4.90
自引率
7.10%
发文量
67
审稿时长
9 months
期刊介绍: Journal of Nondestructive Evaluation provides a forum for the broad range of scientific and engineering activities involved in developing a quantitative nondestructive evaluation (NDE) capability. This interdisciplinary journal publishes papers on the development of new equipment, analyses, and approaches to nondestructive measurements.
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