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Detection of Subsurface Defects in Metal Materials Using Infrared Thermography; Image Processing and Finite Element Modeling

  • Ranjit, Shrestha (Department of Mechanical Engineering, Kongju National University) ;
  • Kim, Won Tae (Department of Mechanical Engineering, Kongju National University)
  • 투고 : 2014.01.21
  • 심사 : 2014.04.16
  • 발행 : 2014.04.30

초록

Infrared thermography is an emerging approach to non-contact, non-intrusive, and non-destructive inspection of various solid materials such as metals, composites, and semiconductors for industrial and research interests. In this study, data processing was applied to infrared thermography measurements to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, raw images were often not appropriate. Thus, various data analysis methods were used at the pre-processing and processing levels in data processing programs for quantitative analysis of defect detection and characterization; these increased the infrared non-destructive testing capabilities since subtle defects signature became apparent. A 3D finite element simulation was performed to verify and analyze the data obtained from both the experiment and the image processing techniques.

키워드

참고문헌

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피인용 문헌

  1. Thermal Imaging for Detection of SM45C Subsurface Defects Using Active Infrared Thermography Techniques vol.35, pp.3, 2015, https://doi.org/10.7779/JKSNT.2015.35.3.193
  2. Measurement Uncertainty on Subsurface Defects Detection Using Active Infrared Thermographic Technique vol.35, pp.5, 2015, https://doi.org/10.7779/JKSNT.2015.35.5.341
  3. Detection and Quantification of Defects in Composite Material by Using Thermal Wave Method vol.35, pp.6, 2015, https://doi.org/10.7779/JKSNT.2015.35.6.398