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Advances in Non Destructive Evaluation pp 63–71Cite as

Novel Data Processing Approaches for Testing and Evaluation of Mild Steel Sample Using Frequency-Modulated Thermal Wave Imaging

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Part of the Lecture Notes in Mechanical Engineering book series (LNME)

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.

Keywords

  • Defect estimation
  • Fast-Fourier transform
  • Frequency modulated
  • Non-destructive testing
  • Pulse compression

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Author information

Authors and Affiliations

  1. Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India

    Anju Rani, Vansha Kher & Kirandeep Kaur

  2. Indian Institute of Technology Delhi, Hauz Khas, 110016, New Delhi, India

    Ravibabu Mulaveesala

Authors
  1. Anju Rani
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  2. Vansha Kher
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  3. Kirandeep Kaur
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  4. Ravibabu Mulaveesala
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Editor information

Editors and Affiliations

  1. Azeriri Pvt Ltd and Teralumen Solutions Pvt Ltd, Chennai, India

    Dr. Shyamsunder Mandayam

  2. National Metallurgical Laboratory, CSIR, Jamshedpur, India

    Dr. Sarmishtha Palit Sagar

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© 2022 Indian Society for Non-destructive Testing

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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. 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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9092-1

  • Online ISBN: 978-981-16-9093-8

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