Electrical steel dynamic behavior quantitated by inductance spectroscopy: Toward prediction of magnetic losses

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

doi:10.1016/j.jmmm.2022.169672

Cited by 4 publications

(3 citation statements)

References 44 publications

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“…A large proportion of the magnetization mechanisms are associated with the magnetic domains and their distribution. These mechanisms include: The domain wall bulging mechanism is a local distortion of a domain wall under the influence of a low amplitude excitation H [ 23 , 24 ]. The so-called Magnetic Incremental Permeability (MIP) is the best way to characterize this mechanism.…”

Section: The Magnetization Mechanisms: Definitionmentioning

confidence: 99%

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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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Section: The Magnetization Mechanisms: Definitionmentioning

confidence: 99%

“…The domain wall bulging mechanism is a local distortion of a domain wall under the influence of a low amplitude excitation H [ 23 , 24 ]. The so-called Magnetic Incremental Permeability (MIP) is the best way to characterize this mechanism.…”

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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“…The frequency dependence of GO FeSi's magnetic behavior, marked by phenomena such as the skin effect, defies simplistic representation through conventional modeling approaches. Despite decades of research spanning seminal contributions [9][10][11][12][13][14][15], the quest for a unified physical model capable of elucidating the dynamic B-H loop and power loss mechanisms remains elusive [16]. According to Bertotti's statistical theory of losses (STL), the loss per magnetization cycle W at magnetizing frequency f and maximum flux density B m can commonly be expressed as the sum of the static hysteresis loss W hyst , the classical eddy current loss W clas , and the excess loss W exc :…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Fractional Predictions and Spatial Distribution of the Magnetic Loss in a Grain-Oriented Magnetic Steel Lamination

Ducharne,

Hamzehbahmani,

Gao

et al. 2024

Fractal Fract

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Grain-oriented silicon steel (GO FeSi) laminations are vital components for efficient energy conversion in electromagnetic devices. While traditionally optimized for power frequencies of 50/60 Hz, the pursuit of higher frequency operation (f ≥ 200 Hz) promises enhanced power density. This paper introduces a model for estimating GO FeSi laminations’ magnetic behavior under these elevated operational frequencies. The proposed model combines the Maxwell diffusion equation and a material law derived from a fractional differential equation, capturing the viscoelastic characteristics of the magnetization process. Remarkably, the model’s dynamical contribution, characterized by only two parameters, achieves a notable 4.8% Euclidean relative distance error across the frequency spectrum from 50 Hz to 1 kHz. The paper’s initial section offers an exhaustive description of the model, featuring comprehensive comparisons between simulated and measured data. Subsequently, a methodology is presented for the localized segregation of magnetic losses into three conventional categories: hysteresis, classical, and excess, delineated across various tested frequencies. Further leveraging the model’s predictive capabilities, the study extends to investigating the very high-frequency regime, elucidating the spatial distribution of loss contributions. The application of proportional–iterative learning control facilitates the model’s adaptation to standard characterization conditions, employing sinusoidal imposed flux density. The paper deliberates on the implications of GO FeSi behavior under extreme operational conditions, offering insights and reflections essential for understanding and optimizing magnetic core performance in high-frequency applications.

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Analytical expressions of the dynamic magnetic power loss under alternating or rotating magnetic field

Ducharne,

Sebald

2025

Mathematics and Computers in Simulation

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Electrical steel dynamic behavior quantitated by inductance spectroscopy: Toward prediction of magnetic losses

Cited by 4 publications

References 44 publications

Magnetic Signatures and Magnetization Mechanisms for Grinding Burns Detection and Evaluation

Magnetic Signatures and Magnetization Mechanisms for Grinding Burns Detection and Evaluation

High-Frequency Fractional Predictions and Spatial Distribution of the Magnetic Loss in a Grain-Oriented Magnetic Steel Lamination

Analytical expressions of the dynamic magnetic power loss under alternating or rotating magnetic field

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