Reliability Assessment of Non-Destructive Inspection Using Additively Manufactured Artificial Defect Specimens

Various non-destructive inspection (NDI) techniques are being utilized to detect cracks early for the flight safety of aircraft structures, but it is difficult to obtain actual cracked parts to verify them. In this study, artificially defective specimens were manufactured using 3D printing technology to solve this problem. The manufactured specimens were subjected to various destructive/non-destructive tests, including eddy current testing, to quantitatively evaluate the detection performance according to the defect size of the specimen. The results of this study can be applied to the reliability evaluation of NDI and structural reliability analysis, and in particular, it is expected to contribute to overcoming the difficulties of experimental data collection and developing a highly reliable defect detection model.

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Publication Details

Published
2025-09-09
DOI
https://doi.org/10.12783/shm2025/37307
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Reliability Assessment of Non-Destructive Inspection Using Additively Manufactured Artificial Defect Specimens

DOOYOUL LEE, Hyun-Sun Kwon, Y. Richard Kim, HYEONSOO HYEOKOO
Industrial Vision Systems and Defect Detection
article

Reliability Assessment of Non-Destructive Inspection Using Additively Manufactured Artificial Defect Specimens

DOOYOUL LEE, Hyun-Sun Kwon, Y. Richard Kim, HYEONSOO HYEOKOO
article en

Abstract

Various non-destructive inspection (NDI) techniques are being utilized to detect cracks early for the flight safety of aircraft structures, but it is difficult to obtain actual cracked parts to verify them. In this study, artificially defective specimens were manufactured using 3D printing technology to solve this problem. The manufactured specimens were subjected to various destructive/non-destructive tests, including eddy current testing, to quantitatively evaluate the detection performance according to the defect size of the specimen. The results of this study can be applied to the reliability evaluation of NDI and structural reliability analysis, and in particular, it is expected to contribute to overcoming the difficulties of experimental data collection and developing a highly reliable defect detection model.

Openalex Percentile: Top 59%
Industrial Vision Systems and Defect Detection
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