Time-Frequency Based Thermal Imaging: An Effective Tool for Quantitative Analysis

IF 0.9 4区 材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
G. V. P. Chandra Sekhar Yadav, V. S. Ghali, S. K. Subhani
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引用次数: 0

Abstract

Recent achievements in TWDAR (thermal wave detection and ranging) technology has made it possible to utilize a range of thermal imaging techniques for analyzing the characteristics of materials used in various industries. Moreover, the distinctive features of nonstationary thermal imaging have piqued attention of researchers in non-destructive evaluation (NDE). For a detailed defect visualization, it is essential to employ a dependable processing technique that accurately extracts the relevant time–frequency components from the chirped thermal response. In this study, a nonstationary thermal wave imaging technique is utilized by using quadratic frequency modulation (QFM) in conjunction with a cutting-edge technique of fractional Fourier transform (FrFT), to assess material quality. An experimentation has been carried out on carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) samples with defects of different sizes at varying depths, to evaluate their characteristics. Experimental results have validated the efficiency of the proposed FrFT processing approach through rigorous qualitative and quantitative analysis, which has involved measurements of some merit figures, such as signal-to-noise ratio (SNR), full width at half maxima (FWHM), and probability of detection (PoD). From the results, it is evident that the proposed method provides a distinct and precise visualization of defects promising to be a useful technique in identifying and retrieving information of internal defects in materials.

Abstract Image

Abstract Image

基于时间频率的热成像:定量分析的有效工具
摘要 TWDAR(热波探测和测距)技术的最新成果使得利用一系列热成像技术分析各行各业所用材料的特性成为可能。此外,非稳态热成像的显著特点也引起了无损检测(NDE)研究人员的关注。要实现详细的缺陷可视化,必须采用可靠的处理技术,从啁啾热响应中准确提取相关的时频成分。在这项研究中,通过使用二次频率调制(QFM)和分数傅里叶变换(FrFT)的尖端技术,利用非稳态热波成像技术来评估材料质量。在碳纤维增强聚合物(CFRP)和玻璃纤维增强聚合物(GFRP)样品上进行了实验,这些样品存在不同深度、不同尺寸的缺陷,以评估它们的特性。实验结果通过严格的定性和定量分析验证了所提出的 FrFT 处理方法的效率,其中包括对一些优点数据的测量,如信噪比 (SNR)、半最大值全宽 (FWHM) 和检测概率 (PoD)。结果表明,所提出的方法能清晰、精确地显示缺陷,有望成为识别和检索材料内部缺陷信息的有用技术。
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来源期刊
Russian Journal of Nondestructive Testing
Russian Journal of Nondestructive Testing 工程技术-材料科学:表征与测试
CiteScore
1.60
自引率
44.40%
发文量
59
审稿时长
6-12 weeks
期刊介绍: Russian Journal of Nondestructive Testing, a translation of Defectoskopiya, is a publication of the Russian Academy of Sciences. This publication offers current Russian research on the theory and technology of nondestructive testing of materials and components. It describes laboratory and industrial investigations of devices and instrumentation and provides reviews of new equipment developed for series manufacture. Articles cover all physical methods of nondestructive testing, including magnetic and electrical; ultrasonic; X-ray and Y-ray; capillary; liquid (color luminescence), and radio (for materials of low conductivity).
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