Automated Quality Characterization for Composites Using Hybrid Ultrasonic Imaging Techniques

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

Research in Nondestructive Evaluation Pub Date : 2019-07-01 DOI:10.1080/09349847.2018.1459989

Jiangtao Sun, A. Chong, S. Tavakoli, Guojin Feng, J. Kanfoud, C. Selcuk, T. Gan

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引用次数: 4

Abstract

ABSTRACT An enhanced technique using image processing has been developed for automated ultrasonic inspection of composite materials, such as glass/carbon-fibre-reinforced polymer (GFRP or CFRP), to ascertain their structural healthiness. The proposed technique is capable of identifying the abnormality features buried in the composite by image filtering and segmentation applied to ultrasonic C-Scan images. This work presents results performed on two composite samples with simulated delamination defects. A local gating scheme is applied to raw A-Scan data for improved contrast between defective and healthy regions in the produced C-Scan image. In this test campaign, different filtering and thresholding algorithms are evaluated and compared in terms of their effectiveness on defect identification. The accuracies of less than 3 mm and 1.11 mm were attained for the defect size and depth, respectively. The results demonstrates the applicability of the proposed technique for accurate defect localization and characterization of composite materials.

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复合材料混合超声成像技术的自动质量表征

一种使用图像处理的增强技术已被开发用于自动超声检测复合材料，如玻璃/碳纤维增强聚合物(GFRP或CFRP)，以确定其结构健康。该方法通过对超声c扫描图像进行滤波和分割，能够识别出隐藏在复合图像中的异常特征。这项工作提出了两个复合材料样品模拟分层缺陷的结果。局部门控方案应用于原始的A扫描数据，以提高生成的c扫描图像中缺陷区域和健康区域的对比度。在这个测试活动中，评估和比较了不同的过滤和阈值算法在缺陷识别方面的有效性。缺陷尺寸和深度的精度分别小于3 mm和1.11 mm。结果表明，该方法可用于复合材料缺陷的精确定位和表征。

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.