Lysenko, IuliiaKuts, YuriiUchanin, ValentynMirchev, YordanLevchenko, Oleksandr2024-08-082024-08-082024Evaluation Of Eddy Current Array Performance In Detecting Aircraft Component Defects / Iuliia Lysenko, Yurii Kuts, Valentyn Uchanin, Yordan Mirchev, Oleksandr Levchenko // Transactions on Aerospace Research. - Institute of Aviation : Poland, 2024. ‒ Volume 275, № 2. ‒ P. 1-9.2545-2835https://ela.kpi.ua/handle/123456789/68205Eddy current array (ECA) technology is increasingly being used in the aerospace industry for non-destructive testing of aircraft components. This study evaluates the performance of ECA in detecting defects in aircraft components, focusing on its effectiveness, reliability, and sensitivity. The study evaluates the effectiveness of ECA technology in eddy current defectoscopy by introducing a dimensionless efficiency coefficient, then seeks to validate this coefficient through experimental testing of aircraft component materials with artificially induced defects of various sizes, types, and orientations to simulate real-world scenarios. ECA’s sensitivity in detecting small and subsurface defects is analyzed, along with precise defect sizing and positional information. Reliability and repeatability are investigated through repeated measurements. Furthermore, the article analyses the impact of various factors on the performance of ECA, including surface conditions, probe configurations, and inspection parameters. Comparative analysis is performed to assess the advantages and limitations of ECA in comparison to other conventional inspection methods. The findings of this study will contribute to a better understanding of the capabilities and limitations of ECA in detecting aircraft component defects. The results will aid in optimizing inspection strategies, enhancing the reliability of defect detection, and improving the overall maintenance practices in the aerospace industry.eneddy currentsignal characteristicsinformation parametersdefect detectionperformance evaluationEvaluation Of Eddy Current Array Performance In Detecting Aircraft Component DefectsArticleP. 1-9https://doi.org/10.2478/tar-2024-00070000-0001-9110-66840000-0002-8493-94740000-0009664-21010000-0002-82-52820000-0002-3914-1818