• Journal of the Korean Society for Nondestructive Testing
• /
• v.28 no.1
• /
• pp.64-69
• /
• 2008

In order to detect the internal defects which occur in welding parts of pressure vessel and structures, radiographic testing and ultrasonic testing is applied. However, because of the risks of radiation exposure and film processing, radiographic testing takes a relatively long time to verify the test results and it has affected in the production process. Typically, the manual ultrasonic testing is not easy to reproduce the result and it is highly dependent on the tester's skills. The TOFD technique, one of the automatic ultrasonic testings is spreading alternatively. This research describes the comparing test results by applying radiographic testing and TOFD technique to a mock-up specimen incruding the flaws. The TOFD technique will contribute to improve the objective reliability of the ultrasonic technique.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.30 no.3
• /
• pp.271-281
• /
• 2010

Brazing fitting which is one of the aircraft hydraulic power system components is widely used for saving weight and achieving higher reliability. Any inherent defects or damage of fitting can cause system failure and/or physical damage of human body due to highly pressurized fluid. Radiographic testing(RT) technique and additional micro-structure investigation on cut-away surfaces have been accomplished to find out some defect-like-inhomogeneity in the fittings. The radiography results showed that some defect-like-inhomogeneity existed inside body. Additional micro-structure investigation on cut-away surface reveals that the inhomogeneity is due to internal voids. In this study, it can be is said that RT technique can be a useful tool for field acceptance test of hydraulic brazing fitting in short time.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.16 no.4
• /
• pp.251-258
• /
• 1997

• Journal of the Korean Society for Nondestructive Testing
• /
• v.16 no.3
• /
• pp.192-197
• /
• 1996

• Journal of the Korean Society for Nondestructive Testing
• /
• v.17 no.1
• /
• pp.41-48
• /
• 1997

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.4_2
• /
• pp.687-697
• /
• 2022

An automated system is needed for the effectiveness of non-destructive testing. In order to utilize the radiographic testing data accumulated in the film, the types of welding defects were classified into 9 and the shape of defects were analyzed. Data was preprocessed to use deep learning with high performance in image classification, and a combination of one-stage/two-stage method and convolutional neural networks/Transformer backbone was compared to confirm a model suitable for welding defect detection. The combination of two-stage, which can learn step-by-step, and deep-layered CNN backbone, showed the best performance with mean average precision 0.868.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.32 no.1
• /
• pp.71-77
• /
• 2012

• Journal of Welding and Joining
• /
• v.21 no.4
• /
• pp.4-10
• /
• 2003

• Nuclear industry
• /
• v.6 no.7 s.41
• /
• pp.42-47
• /
• 1986

• Journal of the Korean Professional Engineers Association
• /
• v.33 no.3
• /
• pp.20-24
• /
• 2000

In this paper described current status of utilization in industries of radiographic testing, test equipments, radiation sources, educations and training organizations and NDT firms in the Korea are reviewed.