利用数字图像相关技术开发一种斑点模式来评估粘合接头

IF 1 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Seyed Fouad Karimian, T. Chu
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引用次数: 0

摘要

数字图像相关(DIC)是一种众所周知的无损评价(NDE)方法,广泛应用于各个行业。DIC需要随机生成的模式,称为散斑模式,以跟踪和生成应变图。散斑图案是DIC应用的基础。DIC使用这些散斑图案的图像之前和之后的加载已经施加,以产生应变图,通过比较散斑图案图像之间的变化。在这项研究中,斑点图案寻求实现粘合接头。斑点图案必须使用超声成像可跟踪;因此,选用具有高声阻抗的金属材料。通过跟踪散斑模式并使用DIC,可以发现接头内部的缺陷。这允许对粘合接头进行非破坏性分析,以检测使用传统超声波技术可能无法检测到的缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a Speckle Pattern to Evaluate Adhesive Joints Using Digital Image Correlation
ABSTRACT Digital Image Correlation (DIC) is a known Non-Destructive Evaluation (NDE) method used in various industries. DIC requires a randomly produced pattern, known as speckle pattern, to track and generate strain maps. The speckle patterns are fundamental for DIC applications. DIC uses images of these speckle patterns before and after a load has been applied to generate strain maps by comparing the changes between speckle pattern images. In this study, a speckle pattern is sought to implement within adhesive joints. The speckle pattern must be trackable using ultrasonic imaging; therefore, it is chosen from materials with high acoustic impedance metals. By tracking the speckle pattern and using DIC, defects within joints will be revealed. This allows non-destructive analysis to be conducted on adhesive joints to detect defects which may go undetected using conventional ultrasonic techniques.
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来源期刊
Research in Nondestructive Evaluation
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
14
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.
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