Abstract
Reliability of sub-surface defects is imperative for safer functionality of critical materials/components/structures used in a wide variety of applications in various industries. The need for reliable, fast, remote, safe inspection and evaluation methods for detecting hidden defects increases in parallel with the demand for more sustainable solutions, which helps in inherent design and manufacturing specifications modifications. During in-service operations, the hidden defects typically originated from various loading conditions leading to catastrophic failure. This work explores the best possible reliable, fast, remote, and safe inspection and evaluation experimental method and the associated post-processing approach using InfraRed Imaging (IRI) for Thermal Non-Destructive Testing and Evaluation of mild steel materials. This proposed work provides an insight into the state-of-the-art research in the field of thermal/infrared non-destructive testing and evaluation methods and associated post processing approach to visualize the hidden subsurface defects not only resolved by spatial thermal gradients but also simultaneously provide temporal thermal gradients at the defective regions.
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The results presented in this manuscript have no associated data.
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Acknowledgements
Authors acknowledges for the support provided through his constructive suggestions and continuous encouragement by Mr. Mulaveesala Venkata Jagannadharao, Chukkavanipalem, Dharmavaram, Vizaianagaram, Andhra Pradesh, India.
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Widely used post processing modalities for thermal non-destructive testing and evaluation frequency-domain and time-domain based analysis) are discussed for inspection of sub-surface blind hole defects in the mild steel specimen. Further, defect detection capabilities of the time-domain phase analysis obtained from matched-filter based scheme have been highlighted over the conventional frequency-domain based analysis in providing the superior spatial contrast over the defective locations. It is further emphasized that correlation coefficient based post-processing approach for pulse compression favorable excitation scheme (frequency modulated incident heat flux over the sample) exhibits superior sub-surface defect detection capabilities than that of frequency-domain and time-domain phase based post-processing schemes by not only providing the enough spatial contrast over the defective regions but also exhibits enhanced depth resolvability.
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Arora, V., Mulaveesala, R. & Dua, G. Depth Resolved Thermal Wave Imaging Approach for Non-Destructive Testing and Evaluation of Steel Sample. J Nondestruct Eval 42, 64 (2023). https://doi.org/10.1007/s10921-023-00977-3
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DOI: https://doi.org/10.1007/s10921-023-00977-3