Abstract
Frequency-modulated thermal wave imaging (FMTWI) is an emerging thermal non-destructive testing and evaluation (TNDT&E) technique widely used for damage monitoring of various structural materials. The present paper discusses the theoretical aspects of a three-dimensional simulated mild steel model for FMTWI to predict the detection of air defects. In this paper, a comparative evaluation of the results has been carried out by the conventional frequency-domain-based post-processing scheme and is compared with the recently proposed correlation-based time-domain data processing approach. Results show the merits of the time-domain-based post-processing scheme over the frequency-domain-based analysis schemes for improved defect detection capability.
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Rani, A., Kher, V., Kaur, K., Mulaveesala, R. (2022). Novel Data Processing Approaches for Testing and Evaluation of Mild Steel Sample Using Frequency-Modulated Thermal Wave Imaging. In: Mandayam, S., Sagar, S.P. (eds) Advances in Non Destructive Evaluation. NDE 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9093-8_6
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DOI: https://doi.org/10.1007/978-981-16-9093-8_6
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