Simultaneous quantitative prediction of tensile stress, surface hardness and case depth in medium carbon steel rods based on multifunctional magnetic testing techniques

Liu, Xiucheng; Shang, Wanli; He, Cunfu; Zhang, Ruihuan; Wu, Bin

doi:10.1016/j.measurement.2018.04.044

Cited by 35 publications

(25 citation statements)

References 16 publications

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“…In order to obtain the magnetic amplitude permeability μ = −B μ 0 H of the material, the following equation can be used (Equation [17]):…”

Section: Equipment Designed For Magnetization Measuringmentioning

confidence: 99%

“…This microstructure is fundamental for industrial usage with non-destructive techniques based on the interpretation of the response received under the influence of an external magnetic field (16). One of the most used applications of this method is the detection of imperfections in cable-stayed bridges as it evaluates the tension in prestressing cables that are used to ensure this type of structures (17). This application is of great utility as the mechanical heterogeneities of any origin are identified in the lack of magnetic homogeneity in the magnetized material.…”

Section: Introductionmentioning

confidence: 99%

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Magnetic variation in construction steels under tensile stress. Empirical research with Helmholtz coils

2021

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Steel is responsible for providing resistance to flexotraction to reinforced concrete structures. Steel is responsible for providing reinforced concrete structures with a flexural strength. For this reason, it is important to study its behaviour under different tensile states. This study used measuring equipment that was able to determine variations in magnetic properties of B500-SD steel bars during standard tensile tests. The magnetic field generated by a Helmholtz coil was collected through a secondary circuit. This enables the induced electromotive force to relate with the steel deflection stages when subjected to the tests. Moreover, it was possible to determine the variation of magnetic permeability when submitting 12mm and 16mm diameter bars to different tensile states. This method could prove extremely useful in determining the tensile state of ribbed steel bars that are embedded into the concrete structure.

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“…In order to obtain the magnetic amplitude permeability μ = −B μ 0 H of the material, the following equation can be used (Equation [17]):…”

Section: Equipment Designed For Magnetization Measuringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Magnetic variation in construction steels under tensile stress. Empirical research with Helmholtz coils

2021

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“…In [10] and [11], among others, artificial neural networks were used to determine hardness from hysteresis loop and eddy current measurement respectively Barkhausen noise and tangential magnetic field analysis. Besides hardness, Liu et al determined residual stresses and case depth from a combination of Barkhausen noise, tangential magnetic field, and hysteresis measurement by use of artificial neural networks [12]. Sorsa et al compared the suitability of linear regression, artificial neural networks, and fuzzy models for determination of residual stresses from Barkhausen noise measurements.…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Jedamski

Épp

2020

Metals

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Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration.

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“…The Barkhausen noise is used as a diagnostic signal to determine the material stress-and-strain state [4][5][6][7], the state of the microstructure [8], defects in surface treatment [9], and hardness [5,[9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al [5] presented the application of a multifunctional magnetic testing technique in the quantitative prediction of tensile stress, surface hardness, and the case depth in medium-carbon steel rods. Simultaneous measurements were carried out on the MBN signal, the tangential magnetic field, and the magnetic hysteresis curve in tensioned steel rods with different depths of the surface-hardened layer.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Ferromagnetic Steel Hardness Based on an Analysis of the Barkhausen Noise Number of Events

2020

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Measurements are carried out of the Barkhausen noise (BN) and hardness on specimens where changes in hardness were obtained due to strain hardening (S235 and DC01 steels) and due to thermochemical treatment (AMS 6414 steel). A method is presented of processing the recorded BN signal to extract diagnostic information. The BN number of events is selected as the signal characteristic property to develop relevant correlations. A new methodology is presented for the development of correlations between the Barkhausen noise number of events and hardness. A possibility is indicated of developing correlations with a high R2 determination coefficient. The method limitations are specified.

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Simultaneous quantitative prediction of tensile stress, surface hardness and case depth in medium carbon steel rods based on multifunctional magnetic testing techniques

Cited by 35 publications

References 16 publications

Magnetic variation in construction steels under tensile stress. Empirical research with Helmholtz coils

Magnetic variation in construction steels under tensile stress. Empirical research with Helmholtz coils

Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Evaluation of Ferromagnetic Steel Hardness Based on an Analysis of the Barkhausen Noise Number of Events

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