Перегляд за Автор "Uchanin, Valentyn"

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    Advantages of Using Eddy Current Array for Detection and Evaluation of Defects in Aviation Components
    (Bulgarian Society for NDT, 2023) Lysenko, Iuliia; Mirchev, Yordan; Levchenko, Oleksandr; Kuts, Yurii; Uchanin, Valentyn
    This article examines the potential of Eddy Current Array (ECA) as a non-destructive testing (NDT) technique for aviation components. Experimental investigations were conducted using a specially prepared sample with various defects. The scanning results demonstrated ECA's enhanced detection sensitivity, high inspection speed, and ability to characterize defects. The study emphasizes the need to optimize the inspection process and utilize automated subsystems for signal filtration and result evaluation. The findings support the adoption of ECA as an effective NDT technique in the aviation industry, contributing to improved safety and reliability. This research provides valuable insights for the development of guidelines and standards, enhancing the overall efficiency of aviation inspections.
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    Enhanced Feature Extraction Algorithms Using Oscillatory-Mode Pulsed Eddy Current Techniques for Aircraft Structure Inspection
    (Institute of Aviation, 2021) Kuts, Yurii; Lysenko, Iuliia; Uchanin, Valentyn; Protasov, Anatolii; Redka, Mykhailo
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    Evaluation Of Eddy Current Array Performance In Detecting Aircraft Component Defects
    (Institute of Aviation, 2024) Lysenko, Iuliia; Kuts, Yurii; Uchanin, Valentyn; Mirchev, Yordan; Levchenko, Oleksandr
    Eddy 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.
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    Intelligent Automated Eddy Current System for Monitoring the Aircraft Structure Condition
    (IEEE, 2022) Lysenko, Iuliia; Uchanin, Valentyn; Petryk, Valentyn; Kuts, Yurii; Protasov, Anatolii; Alexiev, Alexander
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    Using The Pulsed Eddy Current Techniques For Monitoring The Aircraft Structure Condition
    (Sciendo, 2023) Lysenko, Iuliia; Kuts, Yurii; Uchanin, Valentyn; Protasov, Anatolii; Petryk, Valentyn; Alexiev, Alexander