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Effect of a double-pancake coil configuration on reliable crack detection in curved thin-walled structures.

  • Published In: Insight: Non-Destructive Testing & Condition Monitoring, 2026, v. 68, n. 2. P. 108 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Luo, Jin; Luo, Jianwei; Xu, Xiaojuan; He, Cheng; Wu, Jingmei 3 of 3

Abstract

The coil configuration of an eddy current probe is a key factor in determining the magnitude and distribution of induced currents in a test sample, thereby influencing the crack detection capability. This study investigates the effect of a double-pancake coil configuration on reliable crack detection in curved thin-walled structures. Three configurations, each with identical excitation and detection coil dimensions, are evaluated for detecting surface and back-surface cracks in an aluminium tube. The mutual inductance characteristics of two conventional configurations are first analysed using electromagnetic field theory, leading to the development of a zero-mutual-inductance design. Numerical simulations are conducted to compare electromagnetic field distributions and detection signal responses, enabling an assessment of detection sensitivity and suppression of lift-off variations. Experiments are then performed on an aluminium cylinder using an industrial six-axis robot scanning system. The results show that coil configuration entails a trade-off between lift-off noise suppression and crack detection sensitivity in curved thin-walled structures, with back-surface crack detection being more strongly affected by coil configuration than surface crack detection. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Insight: Non-Destructive Testing & Condition Monitoring. 2026/02, Vol. 68, Issue 2, p108
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2026
  • ISSN:1354-2575
  • DOI:10.1784/insi.2026.68.2.108
  • Accession Number:191550362
  • Copyright Statement:Copyright of Insight: Non-Destructive Testing & Condition Monitoring is the property of British Institute of Non-Destructive Testing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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