Major research outcome
- Ph.D. Candidate Duhwan, Kim and Professor Jung Ryul, Lee, Probability of Detection Analysis of CFRP Delamination with a Triple Functional Ultrasonic Propagation Imager
- 관리자 |
- 2025-08-04 15:01:32|
- 313
- 2025-08-04 15:01:32|
Carbon fiber-reinforced plastics (CFRP) are widely used in aerospace structures due to their high strength-to-weight ratio but are susceptible to internal damages such as delamination. To reliably detect such defects, this study developed a Triple functional UPI system that integrates three ultrasonic modes: Angular PUPI, QL-scan GUPI, and LDV-scan GUPI.
A Probability of Detection (PoD) analysis based on the MIL-HDBK-1823A standard demonstrated that the proposed system can achieve more than 90% detection probability (a₉₀/₉₅) for defects larger than 4 mm. In particular, the PUPI functionality was confirmed to provide the highest sensitivity, capable of detecting even the smallest defects. Furthermore, by applying an AI-based automatic defect diagnosis algorithm, inspector variability was reduced and the overall PoD performance was further improved.
This study represents the first systematic PoD analysis of a laser-based ultrasonic non-destructive evaluation (NDE) system, presenting a versatile inspection platform applicable to industrial field environments.
Measurement is a leading international journal that covers advancements and applications in measurement, sensors, and NDE technologies. It publishes the latest research results related to measurement-based reliability assessment, PoD analysis, and SHM across various industries and is recognized for its high citation impact and influence (IF: 5.6, IF top 10.6%, Q1).
https://doi.org/10.1016/j.measurement.2025.118414
A Probability of Detection (PoD) analysis based on the MIL-HDBK-1823A standard demonstrated that the proposed system can achieve more than 90% detection probability (a₉₀/₉₅) for defects larger than 4 mm. In particular, the PUPI functionality was confirmed to provide the highest sensitivity, capable of detecting even the smallest defects. Furthermore, by applying an AI-based automatic defect diagnosis algorithm, inspector variability was reduced and the overall PoD performance was further improved.
This study represents the first systematic PoD analysis of a laser-based ultrasonic non-destructive evaluation (NDE) system, presenting a versatile inspection platform applicable to industrial field environments.
Measurement is a leading international journal that covers advancements and applications in measurement, sensors, and NDE technologies. It publishes the latest research results related to measurement-based reliability assessment, PoD analysis, and SHM across various industries and is recognized for its high citation impact and influence (IF: 5.6, IF top 10.6%, Q1).
https://doi.org/10.1016/j.measurement.2025.118414
