Reduction of thermal effect on rail stress measurement based on magnetic Barkhausen noise anisotropy

Ding, Song; Wang, Ping; Yang, Lin; Ding-yi, Zhu

doi:10.1016/j.measurement.2018.02.041

Cited by 12 publications

(4 citation statements)

References 12 publications

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“…Therefore, it can describe the internal stresses of ferromagnetic materials under restricted conditions such as rail deformation [106]. (2) Barkhausen noise is an electromagnetic nondestructive testing technique that can be used for non-contact detection of stresses [107]. (3) According to the MBN generation mechanism, MBN testing techniques can detect not only the magnitude of stresses but also the fatigue life of ferromagnetic materials and microstructures.…”

Section: Other Physical Inspection Methodsmentioning

confidence: 99%

Nondestructive Testing Technologies for Rail Inspection: A Review

et al. 2022

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Alongside the development of high-speed rail, rail flaw detection is of great importance to ensure railway safety, especially for improving the speed and load of the train. Several conventional inspection methods such as visual, acoustic, and electromagnetic inspection have been introduced in the past. However, these methods have several challenges in terms of detection speed and accuracy. Combined inspection methods have emerged as a promising approach to overcome these limitations. Nondestructive testing (NDT) techniques in conjunction with artificial intelligence approaches have tremendous potential and viability because it is highly possible to improve the detection accuracy which has been proven in various conventional nondestructive testing techniques. With the development of information technology, communication technology, and sensor technology, rail health monitoring systems have been evolving, and have become equally significant and challenging because they can achieve real-time detection and give a risk warning forecast. This paper provides an in-depth review of traditional nondestructive techniques for rail inspection as well as the development of using machine learning approaches, combined nondestructive techniques, and rail health monitoring systems.

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Section: Other Physical Inspection Methodsmentioning

confidence: 99%

Nondestructive Testing Technologies for Rail Inspection: A Review

et al. 2022

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“…Due to these reasons, nondestructive testing of nitriding layer depth is getting more attention. Currently, the main non-destructive testing methods for measuring the depth of nitrided layers include the Barkhausen noise method [2,3], ultrasonic backscattering method [4,5], and laser ultrasonic detection method [6]. The Barkhausen noise method analyzes the noise signals generated by domain flipping in ferromagnetic materials under an alternating magnetic field to assess the depth of the surface hardening layer.…”

Section: Introductionmentioning

confidence: 99%

Nitriding layer depth detection based on mixing frequency nonlinear ultrasonic parameters

Li,

Bi,

Tang

et al. 2024

Meas. Sci. Technol.

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Nitriding treatment can improve the surface properties of workpieces, thus increasing the service life of the workpiece. The depth of nitriding layer is not only one of the important indexes for evaluating the nitriding effect, but also an important factor affecting the end-use performance of the workpiece. While the existing hardness and metallographic methods cannot meet the needs for non-destructive testing of nitriding layer depth in shaft parts. Therefore, a method using non-linear ultrasonic testing technology is proposed for non-destructive evaluation of nitriding layer depth. In this study, 1045 steel shaft specimens with different nitriding layer depths were prepared by a liquid salt bath nitriding method. The total depth of the nitriding layer was measured using a microhardness tester, and metallographic microscopy was applied to observe microstructure changes before and after nitriding treatment. With the proposed non-destructive method, the longitudinal critically refracted (LCR) wave mixing detection model was established and the ultrasonic nonlinear coefficients were used for characterizing the nitrided layer depths. Experimental results show that the LCR wave sum frequency (LCRWSF) detection model of ultrasonic nonlinear coefficient is better to characterize the nitriding layer depth of 1045 steel and have higher sensitivity. As a result, the LCRWSF model is more suitable to efficiently estimate the nitrided layer depth.

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“…The environmental temperature may lead to a thermally induced stress where, for example, tens or even hundreds of MPa of stress values can be reached in a seamless track of high-speed railway [ 17 , 18 ]. Due to the sensitivity of MBN to stress [ 1 , 3 , 4 , 5 ], thermal stress could result in a noticeable RMS change [ 17 ]. Therefore, it is necessary to understand and distinguish the mechanism of the effects caused by temperature and thermal stress and evaluate these effects on MBN quantitatively.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluation of the Effect of Temperature on Magnetic Barkhausen Noise

Wang

Meydan

Melikhov

2021

Sensors

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The effect of temperature on magnetic Barkhausen noise (MBN) can be divided into two types: the direct effect of temperature itself and the indirect effect of thermally induced stress. The theoretical model is proposed in this paper to describe the effects of temperature on the MBN signal. For the case considering the direct effect of temperature only, the analytical model allows the prediction of the effect of temperature on MBN profile, and, based on the model, a simple linear calibration curve is presented to evaluate the effect of temperature on MBN amplitude quantitatively. While for the case where the indirect effect of thermal stress is taken into account in addition to the direct effect, the proposed theoretical model allows the deduction of parabolic function for quantitative evaluation of the combined effect on MBN. Both effects of temperature on MBN, i.e., the direct only and the combined one, have been studied experimentally on 0.5 mm thickness non-oriented (NO) electrical steel and the adhesive structure of NO steel and ceramic glass, respectively. The reciprocal of the measured MBN peak amplitude (1/MBNp) in the first case shows a linear function of temperature, which agrees with the proposed linear calibration curve. While in the experiments considering the combined effects, 1/MBNp shows parabolic dependence on temperature, which is further simplified as a piecewise function for the practical applications.

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Reduction of thermal effect on rail stress measurement based on magnetic Barkhausen noise anisotropy

Cited by 12 publications

References 12 publications

Nondestructive Testing Technologies for Rail Inspection: A Review

Nondestructive Testing Technologies for Rail Inspection: A Review

Nitriding layer depth detection based on mixing frequency nonlinear ultrasonic parameters

Quantitative Evaluation of the Effect of Temperature on Magnetic Barkhausen Noise

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