Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Eddy Current-Based Identification and Depth Investigation of Microdefects in Steel Filaments

Version 1 : Received: 5 July 2024 / Approved: 6 July 2024 / Online: 8 July 2024 (09:10:23 CEST)

How to cite: Tran, K. S.; Shirinzadeh, B.; Smith, J. Eddy Current-Based Identification and Depth Investigation of Microdefects in Steel Filaments. Preprints 2024, 2024070593. https://doi.org/10.20944/preprints202407.0593.v1 Tran, K. S.; Shirinzadeh, B.; Smith, J. Eddy Current-Based Identification and Depth Investigation of Microdefects in Steel Filaments. Preprints 2024, 2024070593. https://doi.org/10.20944/preprints202407.0593.v1

Abstract

In the field of quality control, the critical challenge of analyzing microdefects in steel filament holds significant importance. This is particularly vital as steel filaments serve as reinforced fibers in the use and applications within various component manufacturing industries. This paper addresses the crucial requirement of identifying and investigating microdefects on steel filaments. Eddy current signals are used for the identification of microdefects, and an in-depth investigation is conducted. The core objective is to establish the relationship between the depth of defects and the signals detected through the eddy current sensing principle. The threshold of eddy current instrument was set at 10%, corresponding to a created depth of 20 µm, to identify defective specimens. A total of 30 defective samples were analyzed, and the phase angles between the experimental and theoretical results were compared. The depths of defects ranged from 20 to 60 µm, with one sample having a depth exceeding 75 µm. The calculated threshold of 10.18% closely aligns with the set threshold of 10%, with a difference of only 1.77%. The resulting root mean square error (RMSE) was found to be 10.53 degrees, equivalent to 3.49 µm for the difference in depth and phase between measured results and estimated results. This underscores the methodology's accuracy and its applicability across diverse manufacturing industries.

Keywords

microdefects; eddy current signal; reinforced fibers; depths of defects

Subject

Engineering, Industrial and Manufacturing Engineering

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