Pulse compression favorable frequency modulated thermal wave imaging for non-destructive testing and evaluation: an analytical study

Anju Rani, Ravibabu Mulaveesala
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引用次数: 2

Abstract

InfraRed Thermography (IRT) is one of the non-destructive testing and evaluation (NDT&E) approach widely used for testing and evaluation of wide verity of materials such as metals, semiconductors and composites. Among the widely used Thermal NDT&E (TNDT&E) approaches for better depth resolution and sensitivity for detection of defects located at different depths inside the test specimen recently proposed correlation based approach gained importance due to its enhanced defect detection capabilities. The present paper introduces a novel one-dimensional analytical solution for the frequency modulated excitation scheme under adiabatic boundary conditions for detection of flat bottom holes as defects in a mild steel sample. The performance of the Pulse Thermography (PT), Lock-in Thermography (LT) and Frequency Modulated Thermal Wave Imaging (FMTWI) methods are highlighted their defect detection capabilities have been compared by adopting the recently introduced correlation based post-processing approach. Finally, the proposed analytical method has been validated with the results obtained from the commercially available finite element based software.
脉冲压缩有利的频率调制热波成像无损检测和评价:分析研究
红外热成像(IRT)是一种无损检测和评估(NDT&E)方法,广泛用于检测和评估各种材料,如金属、半导体和复合材料。在广泛使用的热无损检测与评价(TNDT&E)方法中,最近提出的基于相关性的方法由于其增强的缺陷检测能力而变得重要,该方法用于检测试样内部不同深度的缺陷,具有更好的深度分辨率和灵敏度。本文介绍了一种新的绝热边界条件下调频激励方案的一维解析解,用于检测软钢样品中的平底孔缺陷。强调了脉冲热成像(PT)、锁定热成像(LT)和调频热波成像(FMTWI)方法的性能,并通过采用最近引入的基于相关性的后处理方法对它们的缺陷检测能力进行了比较。最后,通过商业上可用的基于有限元的软件获得的结果验证了所提出的分析方法。
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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