Assessment of welded joints stress–strain state inhomogeneity before and after post weld heat treatment based on the metal magnetic memory method

Kolokolnikov, Sergey; Dubov, A. A.; Steklov, O. I.

doi:10.1007/s40194-016-0335-7

Cited by 14 publications

(5 citation statements)

References 11 publications

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“…In the defect of the work piece, the leakage magnetic field will be generated, and the abnormal change of the magnetic field will occur. The position of non-defective will show a stable and consistent magnetic field distribution in contrast [34,35]. The TSB used for the axial scanning test has no local defects.…”

Section: Resultsmentioning

confidence: 99%

Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory

et al. 2019

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Based on the metal magnetic memory effect, this paper proposed a new non-destructive testing method for the internal tensile force detection of steel bars by analyzing the self-magnetic flux leakage (SMFL) signals. The variation of the SMFL signal of the steel bar with the tensile force indicates that the curve of the SMFL signal has a significant extreme point when the tensile force reaches about 65% of the yield tension, of which the first derivative curve has extreme points in the elastic and yielding stages, respectively. To study the variation of SMFL signal with the axial position of the steel bar under different tensile forces, a parameter reflecting the fluctuation of the SMFL signal along the steel bar is proposed. The linear relationship between this parameter and the tensile force can be used to quantitatively calculate the tensile force of steel bar. The method in this paper provides significant application prospects for the internal force detection of steel bar in the actual engineering.

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Section: Resultsmentioning

confidence: 99%

Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory

et al. 2019

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“…The MMM method can measure the magnetic field shifts on ferromagnetic surfaces [30][31][32][33][34][35][36][37]. This method does not need artificial magnetic field sources, which is in contrast with magnetic flux leakage (MFL) testing [38][39][40]. In ferromagnetic materials, the magnetic field measured with the MMM method is related to the residual magnetic leakage field (RMFL) around surface defects [41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Inspection of Semi-Elliptical Defects in a Steel Pipe Using the Metal Magnetic Memory Method

Villegas-Saucillo,

Diaz-Carmona,

Prado-Olivares

et al. 2024

Applied Sciences

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Ferromagnetic pipes are widely used for fluid transportation in various industries. The failure of these ferromagnetic pipes due to surface defects can generate industrial accidents, economic losses, and environmental pollution. Non-destructive testing techniques are required to detect these surface defects. An alternative is the metal magnetic memory (MMM) method, which can be employed to detect surface flaws in ferromagnetic structures. Based on this method, we present an analysis of experimental results of the magnetic field variations around five different surface semi-elliptical defects of an ASTM A36 steel pipe. A measurement system of MMM signals is implemented with a rotatory mechanism, a magnetoresistive sensor, a data processing unit, and a control digital unit. The MMM method does not require expensive equipment or special treatment of the ferromagnetic structures. In order to research a potential relationship between the defect sample size and the measured MMM signals, variable defect dimensions are experimentally considered. According to these results, the shape and magnitude of the normal and tangential MMM signals are altered by the superficial semi-elliptical defects. In particular, the maximum and mean tangential components and the maximum and minimum normal components are related to the defect dimensions. The proposed measurement system can be used to study the behavior of magnetic field variations around surface defects of ferromagnetic pipes. This system can be adapted to measure the position and damage level of small defects on the surface of ferromagnetic pipes.

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“…The process of stress influence on magnetic materials has been known for a long time as an inverse magnetostrictive effect or Villari effect [20]. At the core of the metal magnetic memory method is the detection of a self-magnetic leakage field, indicating the inhomogeneities of the internal structure caused by the effect mentioned above [21]. The significant advantages of this method are no requirement to prepare the surface or premagnetize or demagnetize the material, low-cost measurement equipment, simplicity, time-saving inspection procedure, and the possibility to detect and localize the stress zones, thus avoiding a sudden catastrophic accident [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Recording Method (MRM) for Nondestructive Evaluation of Ferromagnetic Materials

et al. 2022

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This paper proposes and experimentally investigates a novel nondestructive testing method for ferromagnetic elements monitoring, the Magnetic Recording Method (MRM). In this method, the inspected element must be magnetized in a strictly defined manner before operation. This can be achieved using an array of permanent magnets arranged to produce a quasi-sinusoidal magnetization path. The magnetic field caused by the original residual magnetization of the element is measured and stored for future reference. After the operation or loading, the magnetic field measurement is repeated. Analysis of relative changes in the magnetic field (for selected components) allows identifying applied stress. The proposed research methodology aims to provide information on the steel structure condition unambiguously and accurately. An interpretation of the results without referring to the original magnetization is also possible but could be less accurate. The method can be used as a standard technique for NDT (Non-Destructive Testing) or in structural health monitoring (SHM) systems.

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Assessment of welded joints stress–strain state inhomogeneity before and after post weld heat treatment based on the metal magnetic memory method

Cited by 14 publications

References 11 publications

Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory

Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory

Inspection of Semi-Elliptical Defects in a Steel Pipe Using the Metal Magnetic Memory Method

Magnetic Recording Method (MRM) for Nondestructive Evaluation of Ferromagnetic Materials

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