10.14489/td.2026.09.pp.023-028

2026, 09 September

DOI: 10.14489/td.2026.09.pp.023-028

Biryukov D. V.
EXPERIMENTAL EVALUATION OF THE MAGNETIC FLUX LEAKAGE (MFL) METHOD FOR THE DIAGNOSIS OF DEFECTS IN SHEET METAL
(pp. 23-28)

Abstract. This paper presents an experimental study on the application of the Magnetic Flux Leakage (MFL) method for the non-destructive testing (NDT) of sheet ferromagnetic materials. The primary objective was to evaluate the method’s sensitivity and signal characteristics in response to two artificially introduced defect types: a localized wall thickness variation (step) and a small through-hole. An experimental setup has been developed and described, including a constant magnetic field source for magnetizing specimens, Hall sensors for recording the leakage field, and a programmable logic controller for collecting and processing data. The key feature of the installation is the integration of Hall sensors with a PLC to automate measurements of the magnetic flux leakage, which has not been previously described in open sources. The implemented methodology, based on a linear interpolation formula for sensor calibration, allowed for the acquisition of quantifiable magnetic flux density data. The characteristics or magnetic flux leakage signals are obtained and analyzed, allowing one to determine the location and geometry of defects. Key findings include the registration of a distinct unipolar signal peak for the thickness variation and a complex multi-extremum signal for the through-hole, with recorded amplitude changes of approximately 26.4 mT and 110 mT, respectively. The results of a quantitative assessment of the sensitivity of the MFL method to specific defects in sheet metal demonstrate the potential for its use in diagnosing the condition of metal structures as an element of expanding the capabilities of existing automated systems in order to prevent accidents caused by corrosion and mechanical damage. The obtained signal patterns serve as a foundation for developing algorithms for automated defect recognition and classification.

Keywords: the magnetic non-destructive testing, defect, metal, corrosion, device.

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D. V. Biryukov (National Research Tomsk State University, Tomsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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