Identification of the ferromagnetic hysteresis simulation parameters using classic non-destructive testing equipment

Zhang, S.; Ducharne, Benjamin; Takeda, Susumu; Sebald, Gaël; Uchimoto, Tetsuya

doi:10.1016/j.jmmm.2021.167971

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…(1) Considering the microscopic dependence of the hysteresis properties, a theoretical model is proposed for the MAE signal simulation. (2) The MAE signals of specimens with different hardnesses can be predicted well using the proposed model and the parameters obtained by inversion, and the amplitude and waveform agree well with the experimental results. (3) The connection between the microstructure and the MAE signal is further confirmed, and the model can be used for theoretical analysis of the microscopic dependence of the MAE signal.…”

Section: Introductionsupporting

confidence: 69%

“…Ferromagnetic materials are widely used in the petroleum, chemical and other industries for key structural components, and their mechanical properties directly affect the service life and reliability of the equipment [1][2][3][4]. Hence, an effective method of evaluating the mechanical properties is extremely valuable in ensuring the safe and stable operation of the equipment [5].…”

Section: Introductionmentioning

confidence: 99%

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Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material

Zhang,

Jiao,

et al. 2023

Meas. Sci. Technol.

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Magnetoacoustic emission (MAE) holds great promise for evaluating the mechanical properties of ferromagnetic materials. To refine the problems of the current theoretical and numerical models of MAE, a theoretical MAE model that considers the microscopic dependence of the hysteresis properties is proposed in this paper. The microstructure (dislocation density and grain size) and the correlation of MAE jumps are considered and incorporated into the model. Then, the influences of magnetization parameters and microstructure parameters on the envelope of the MAE signal are analyzed by the proposed theoretical model. The proposed theoretical model is then fully evaluated by simulations and experiments. The MAE experiments are conducted on ferromagnetic specimens with different hardnesses, and the MAE signals with different hardnesses are simulated by inverting the basic parameters of the MAE model with the genetic algorithm. Further, the crucial hysteresis parameters of the specimens are calculated using the results of microscopic measurements and the calculated parameters agree well with inversion results from experimental signals. The results demonstrate that the proposed theoretical model is valid for the MAE signal simulation. The trends of different hardnesses can be predicted by the MAE simulation signals. Moreover, the model can be used for theoretical analysis of the microscopic dependence of the MAE signal.

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Section: Introductionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material

Zhang,

Jiao,

et al. 2023

Meas. Sci. Technol.

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“…Δμ MIP , μ MIP at H c, and μ MIP at H = 0 read on the butterfly loop are the MIP indicators we opted for in this study. MIP experimental setups give electrical signals; in this work, we used the semi-analytical process described in [ 26 ] to return permeabilities. The domain wall’s irreversible motions mechanism is associated with the domain walls breaking away from pinning sites under the influence of magnetic excitation.…”

Section: The Magnetization Mechanisms: Definitionmentioning

confidence: 99%

Magnetic Signatures and Magnetization Mechanisms for Grinding Burns Detection and Evaluation

Ducharne,

Sebald,

Petitpré

et al. 2023

Sensors

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Grinding thermal damages, commonly called grinding burns occur when the grinding energy generates too much heat. Grinding burns modify the local hardness and can be a source of internal stress. Grinding burns will shorten the fatigue life of steel components and lead to severe failures. A typical way to detect grinding burns is the so-called nital etching method. This chemical technique is efficient but polluting. Methods based on the magnetization mechanisms are the alternative studied in this work. For this, two sets of structural steel specimens (18NiCr5-4 and X38Cr-Mo16-Tr) were metallurgically treated to induce increasing grinding burn levels. Hardness and surface stress pre-characterizations provided the study with mechanical data. Then, multiple magnetic responses (magnetic incremental permeability, magnetic Barkhausen noise, magnetic needle probe, etc.) were measured to establish the correlations between the magnetization mechanisms, the mechanical properties, and the grinding burn level. Owing to the experimental conditions and ratios between standard deviation and average values, mechanisms linked to the domain wall motions appear to be the most reliable. Coercivity obtained from the Barkhausen noise, or magnetic incremental permeability measurements, was revealed as the most correlated indicator (especially when the very strongly burned specimens were removed from the tested specimens list). Grinding burns, surface stress, and hardness were found to be weakly correlated. Thus, microstructural properties (dislocations, etc.) are suspected to be preponderant in the correlation with the magnetization mechanisms.

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“…The second stage involves replicating the same tests but placing the sensors near a conductive and possibly magnetic specimen. Eddy currents are supposed to be generated in the conductive parts and modify the sensor coil impedances [7,[35][36][37][38]. Different natures of specimens were tested, and conclusions were drawn regarding the capability of the printed sensors to discriminate one type of material from the other.…”

Section: Detection Capability Of the Sensors Printed On A Kapton Subs...mentioning

confidence: 99%

Printed Eddy Current Testing Sensors: Toward Structural Health Monitoring Applications

Brun,

Cottinet,

Pelletier

et al. 2023

Sensors

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Reliable measurements in structural health monitoring mean for the instrumentation to be set in perfect reproducible conditions. The solution described in this study consists of printing the sensors directly on the parts to be controlled. This method solves the reproducibility issue, limits human error, and can be used in confined or hazardous environments. This work was limited to eddy current testing, but the settings and conclusions are transposable to any non-destructive testing methods (ultrasounds, etc.). The first salve of tests was run to establish the best dielectric and conductive ink combination. The Dupont ink combination gave the best performances. Then, the dispenser- and the screen-printing methods were carried out to print flat spiral coils on flexible substrates. The resulting sensors were compared to flex-printed circuit boards (PCB-flex) using copper for the electrical circuit. The conductive ink methods were revealed to be just as efficient. The last stage of this work consisted of printing sensors on solid parts. For this, 20-turn spiral coils were printed on 3 mm thick stainless-steel plates. The permanent sensors showed good sensibility in the same range as the portative ones, demonstrating the method’s feasibility.

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Identification of the ferromagnetic hysteresis simulation parameters using classic non-destructive testing equipment

Cited by 10 publications

References 26 publications

Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material

Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material

Magnetic Signatures and Magnetization Mechanisms for Grinding Burns Detection and Evaluation

Printed Eddy Current Testing Sensors: Toward Structural Health Monitoring Applications

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