An accurate evaluation of the residual stress of welded electrical steels with magnetic Barkhausen noise

Vourna, Polyxeni; Ktena, Aphrodite; Tsakiridis, P.E.; Hristoforou, E.

doi:10.1016/j.measurement.2015.04.007

Cited by 64 publications

(35 citation statements)

References 46 publications

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“…Similar good results were achieved by measurements performed on other types of steels such as API X65 [62], API 5 L X70 [63], AS1548-7-460R [64], structural steel [65] and CrMo steel [66]. As pointed out by many investigators who examined welds of different steels, BN technique requires a precise calibration procedure in all zones, which have a noticeably different microstructure, namely each zone should be separately considered for calibration [59,60,61,63]. Figure 8.…”

Section: Nondestructive Techniques 31 Barkhausen Noise Methodssupporting

confidence: 65%

“…Vourna et al [59][60][61] examined through the BN method joints of an electrical steel (Si 2.18 wt%) welded by means of three different techniques, namely Tungsten Inert Gas (TIG), Plasma and Electron Beam, determining maps of residual stress across melted zone, heat affected zone and base material. The comparison of results with those from X-ray diffraction showed a good agreement.…”

Section: Nondestructive Techniques 31 Barkhausen Noise Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Experimental Techniques to Investigate Residual Stress in Joints

Montanari¹,

Fava²,

Barbieri³

2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

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Residual stress arising from welding processes is matter of great concern in industrial practice since it can affect geometry, mechanical behavior and corrosion resistance of components. In order to evaluate residual stress in welded joints and optimize postwelding heat treatments, a lot of work has been devoted to the improvement of measurement methods with increasing sensitivity and accuracy. The chapter presents and discusses some of the experimental techniques commonly used today to determine residual stress in welds and describes recent results and advancements. Destructive (sectioning, contour, hole-drilling, instrumented indentation) and nondestructive (Barkhausen noise, ultrasonic, X-ray and neutron diffraction) methods are illustrated to highlight the specific characteristics, advantages and drawbacks.

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Section: Nondestructive Techniques 31 Barkhausen Noise Methodssupporting

confidence: 65%

Section: Nondestructive Techniques 31 Barkhausen Noise Methodsmentioning

confidence: 99%

Experimental Techniques to Investigate Residual Stress in Joints

Montanari¹,

Fava²,

Barbieri³

2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

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“…For conductive ferromagnetic materials, such as maraging steels, the magnetic Barkhausen noise (MBN) detection technique can be used to evaluate residual stresses [114], impurities [115] and phase transformation [116] in the surface or subsurface of a part. An MBN signal represents discontinuous changes in the magnetization within a ferromagnetic material resulting from the change in an external magnetic field.…”

Section: Other Methodsmentioning

confidence: 99%

Methods for Detection of Subsurface Damage: A Review

Yin

Bai

2018

Chin. J. Mech. Eng.

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Subsurface damage is easily induced in machining of hard and brittle materials because of their particular mechanical and physical properties. It is detrimental to the strength, performance and lifetime of a machined part. To manufacture a high quality part, it is necessary to detect and remove the machining induced subsurface damage by the subsequent processes. However, subsurface damage is often covered with a smearing layer generated in a machining process, it is rather difficult to directly observe and detect by optical microscopy. An efficient detection of subsurface damage directly leads to quality improvement and time saving for machining of hard and brittle materials. This paper presents a review of the methods for detection of subsurface damage, both destructive and non-destructive. Although more reliable, destructive methods are typically time-consuming and confined to local damage information. Non-destructive methods usually suffer from uncertainty factors, but may provide global information on subsurface damage distribution. These methods are promising because they can provide a capacity of rapid scan and detection of subsurface damage in spatial distribution.

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“…The magnetic Barkhausen noise (MBN) is very sensitive to residual stresses and changes in microstructure of ferromagnetic materials, so the MBN measurement methods are widely used as non-destructive evaluation (NDE) techniques for inspection of the materials [1][2][3][4][5][6][7]. Evaluating the MBN signal provides a means of measuring the interactions between domain walls and the various microstructural features, such as grain size, dislocation density and inclusions.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of amplitude distribution of magnetic Barkhausen noise

Pal’a

Jančárik

2017

Journal of Electrical Engineering

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The magnetic Barkhausen noise (MBN) measurement method is a widely used non-destructive evaluation technique used for inspection of ferromagnetic materials. Besides other influences, the excitation yoke lift-off is a significant issue of this method deteriorating the measurement accuracy. In this paper, the lift-off effect is analysed mainly on grain oriented Fe-3%Si steel subjected to various heat treatment conditions. Based on investigation of relationship between the amplitude distribution of MBN and lift-off, an approach to suppress the lift-off effect is proposed. Proposed approach utilizes the digital feedback optimising the measurement based on the amplitude distribution of MBN. The results demonstrated that the approach can highly suppress the lift-off effect up to 2 mm.

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An accurate evaluation of the residual stress of welded electrical steels with magnetic Barkhausen noise

Cited by 64 publications

References 46 publications

Experimental Techniques to Investigate Residual Stress in Joints

Experimental Techniques to Investigate Residual Stress in Joints

Methods for Detection of Subsurface Damage: A Review

Optimisation of amplitude distribution of magnetic Barkhausen noise

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