Mechanical Barkhausen noise during fatigue of iron

Soultan, Malloum; Kléber, Xavier; Chicois, J.; Vincent, A.

doi:10.1016/j.ndteint.2006.03.003

Cited by 20 publications

(6 citation statements)

References 15 publications

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“…This can be attributed to a lower applied load and better enduring specimens. Similar behaviour is seen in the mechanical Barkhausen noise from [13]; although in that work the signal plateaus for a considerable time before failure of the specimen, a difference that can also be attributed to lower loading and more enduring specimens. The difference in behaviour between our work and the two referenced papers could also be attributed to the fatiguing of unknown magnitude and duration our specimens had been subjected to before our tests, which could have created an accelerated failure of the specimens.…”

Section: Discussionsupporting

confidence: 60%

“…4 and Fig. 5 from [13] suggests that we do in fact measure the Barkhausen noise in the specimens. Comparing with the figures in [12], we see the same rapid increase and then the either fast or slow decrease of the signal.…”

Section: Discussionmentioning

confidence: 93%

“…Examples include works by Palma et al [12] and Soultan et al [13]. Palma et al used the conventional Barkhausen sensor to measure on the specimens.…”

Section: Experimental Verification Of the Proposed Barkhausen Nomentioning

confidence: 99%

See 2 more Smart Citations

A passive Barkhausen noise sensor for low-power applications

Hamfelt

Gústafsson

Deventer

et al. 2016

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings

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Abstract-This paper proposes a passive Barkhausen noise sensor design suitable for low power applications. The sensor uses a permanent magnet and the relative motion between itself and a measured specimen instead of the conventional method that uses a fixed sensor and an alternating magnetic field. Since this novel design is passive, the sensor is well suited for low power applications and could potentially be used in e.g. a condition monitoring system integrated into a rolling element bearing. Proof of concept testing has been performed showing that the proposed sensor produces similar results as conventional Barkhausen noise sensors when applied to specimens being cyclically loaded until failure in a rotating bending rig. The results imply that material fatigue detection using the Barkhausen noise can be performed with the proposed sensor at a fraction of the energy cost compared to a conventional sensor. This warrants future research into the development of the proposed sensor, its advantages, disadvantages, and functionality.

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Section: Discussionsupporting

confidence: 60%

Section: Discussionmentioning

confidence: 93%

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A passive Barkhausen noise sensor for low-power applications

Hamfelt

Gústafsson

Deventer

et al. 2016

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings

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“…Soultan et al also investigated the mechanical BHN in iron specimens in [124], finding that the root mean square (RMS) of the mechanical BHN is load frequency dependent and would not have an initial increase for stress amplitudes beneath the fatigue knee-point stress amplitude. Furthermore, it was noted that the variation in BHN throughout the fatigue life could be divided into three stages, namely, a transient stage, a stationary stage and a reduction, ending in fracture.…”

Section: Barkhausen Noisementioning

confidence: 99%

A review of fatigue damage detection and measurement techniques

Bjørheim

Siriwardane

Pavlou

2022

International Journal of Fatigue

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A vast amount of research has been carried out towards the goal of quantifying changes related to the fatigue damaging process in materials throughout the fatigue life. However, no recommended practice has been developed for the experimental measurement of fatigue damage before a macroscopic crack has been initiated. Therefore, this paper reviews the existing fatigue damage detection and measurement techniques on the basis of both momentum within the research field and their being considered non-destructive. The techniques are separated into two categories, namely, fatigue crack monitoring and fatigue damage monitoring. The parameters of these techniques, which quantify the physical and mechanical changes of the materials during the fatigue life, were critically reviewed in regard to the mechanism behind the change, limitations, shortcomings, etc. The acoustic emission, hardness, ultrasonic, magnetic and potential drop methods are applicable for in-situ measurements while positron annihilation and X-ray diffraction are more suitable for laboratory assessments. Even though all the revived methods are applicable for metals, acoustic emissions, X-ray diffraction, ultrasonic, strainbased and thermometric methods are also suitable for composites. The reliability, advantages, weaknesses, case/ material dependency and applicability of each method are compared and tabulated for making a framework for choosing suitable technique for fatigue crack or damage detection of material or components.

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“…In the 1990s, MBN was used for stress testing and hardness analysis in ferromagnetic materials by American scholars Mr. and Mrs. K. Tiitto, whose research revealed the influence of the microstructure content and surface roughness on MBN [13][14][15][16], indicating that MBN strongly depends on the inner stress, heat treatment state, grain size, microstructure content, etc. More recently, the influence of fatigue of steel structure members on MBN was researched by French scholar Vincent [17,18]. At Newcastle University in England, the use of MBN technology on the deformation and case hardening of low-alloy steel was investigated by Blaow et al [19][20][21].…”

Section: Fundamental Principlementioning

confidence: 99%