Vol. 20 No. 1 (2023): Journal of Non Destructive Testing and Evaluation (JNDE), March 2023
Research Papers

Numerical Approach for Characterization of Structural Steel Sample using Frequency Modulated Thermal Wave Imaging

Vanita Arora
Indian Institute of Information Technology Una, Vill. Saloh, Teh. Haroli, Distt. Una Himachal Pradesh, India-177209
Ravibabu Mulaveesala
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi
Anshul Sharma
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi
Geetika Dua
Thapar Institute of Engineering and Technology, Patiala.147004
Suresh Kumar Bhambhu
Thapar Institute of Engineering and Technology, Patiala.147004

Published 12-03-2023

Keywords

  • Non-destructive testing,
  • Phase analysis,
  • Frequency modulated thermal wave imaging,
  • Finite element analysis

How to Cite

Arora, V., Mulaveesala, R., Sharma, A., Dua, G., & Bhambhu, S. K. . (2023). Numerical Approach for Characterization of Structural Steel Sample using Frequency Modulated Thermal Wave Imaging . Journal of Non-Destructive Testing and Evaluation (JNDE), 20(1), 53–57. Retrieved from https://jnde.isnt.in/index.php/JNDE/article/view/32

Abstract

This work demonstrates a finite element analysis based modeling and simulation study for finding out the defect detection capabilities of frequency modulated thermal wave imaging technique. A structural steel specimen with hidden subsurface slags and inclusions such as calcium fluoride, silicon dioxide and air of various sizes and shapes, is considered. Pulse compression based correlation processing scheme is adopted on the generated temporal temperature data and comparisons have been made with the conventional widely used frequency domain phase based approach.

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