Abstract

Active infrared thermography is an attractive and reliable technique used for the non-destructive evaluation of various materials and structures, because it enables non-contact, large area, high-speed, quantitative, and qualitative inspection. However, the defect detectability is significantly deteriorated due to the excitation of a non-uniform heat source and surrounding environmental noise, requiring additional signal processing and image characterization. The lock-in infrared thermography technique has been proven to be an effective method for quantitative evaluation by extracting amplitude and phase images from a 2D thermal sequence, but it still involves a lot of noise, providing difficulties in detection. Therefore, this study explored the possibility of improving the signal-to-noise ratio by applying filtering to a stainless-steel plate with circular defects. Thereafter, automated defect detection was performed based on the threshold value through the binary images. In addition, a comparative analysis was performed to evaluate the detectability according to the presence or absence of a filtering application.

Highlights

  • The importance of non-destructive testing (NDT) in industry occupies a large part of the inspection of machines or structures in various fields such as shipbuilding, automobiles, construction, civil engineering, and nuclear power [1,2,3]

  • The automatic defect detection of backside of STS304 plate based on lock-in infrared thermography was performed

  • signal-to-noise ratio (SNR) evaluation was performed after applying median filtering to remove noise from the signal processing image: the amplitude image improved by 2.67%, and the phase image improved by 18.22%

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Summary

Introduction

The importance of non-destructive testing (NDT) in industry occupies a large part of the inspection of machines or structures in various fields such as shipbuilding, automobiles, construction, civil engineering, and nuclear power [1,2,3]. Austenitic stainless steel has high mechanical properties and corrosion resistance; it can be applied in a wide temperature range and various operating conditions, from cryogenic to high temperature [6,7,8]. It is used in various fields such as interior and exterior materials for construction, automobile parts, aircraft fuselages, and medical devices. Lock-in infrared thermography, one of the active IRT techniques, was applied to automatically detect defects on the backside of STS304 metal plates.

Image Processing
Optimum Threshold Value
STS304 Reference Specimen
Experimental
Lock-In Signal Images
Filtering
Automatic Defect Detection
Detectability Comparative
Conclusions and Future Works
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