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DOI: 10.14489/td.2026.08.pp.061-070
Sokolov R. F., Muratov K. R., Probotyuk V. V., Shuldikova N. C. NUMERICAL MODELING OF THE INFLUENCE OF DEFECT DEPTH AND MAGNETIC PERMEABILITY OF THE MATERIAL ON THE DISTRIBUTION OF MAGNETIC FIELD COMPONENTS ON THE SURFACE OF THE INSPECTION OBJECT (pp. 61-70)
Abstract. The method of magnetic flux scattering (MFL) is widely used for diagnostics of ferromagnetic objects, but its indicative character and nonlinear dependence of the magnetic permeability of the material on the field strength complicate data interpretation. In this paper we propose a method of taking into account the influence of the magnetic permeability of the object on the magnitude of the magnetic scattering field appearing above the defect. The results presented in the paper are obtained by numerical modelling using the finite element method in the Elcut software environment. The studies demonstrate the possibility of using corrective algorithms to determine the depth of defects on the basis of a priori information about the magnetic permeability of the controlled material. The simulation results demonstrate that accounting for the nonlinear dependence μ(H) leads to a significant reduction in the error of determining magnetic induction compared to the linear model (μ = const). The effect is most pronounced for materials with low magnetic permeability: at μok = 25, the maximum error in determining Bτ at the metal-defect boundary reaches 230 %, whereas for μok = 200, it does not exceed 3 %. For materials with μok > 100, the proposed method reduces the error in estimating defect depth by approximately 7 %. The effect is quantitative in nature and requires experimental verification and an expansion of the parameter range to confirm its applicability to real test objects.
Keywords: modelling, finite element method, defect, magnetic permeability, magnetic induction, magnetic flux dissipation method.
R. F. Sokolov (Tyumen Industrial University, Tyumen, Russia, Argumentum-Stroy LLC, Tyumen, Russia) E-mail:
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K. R. Muratov, V. V. Probotyuk, N. C. Shuldikova (Tyumen Industrial University, Tyumen, Russia) E-mail:
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