Identification and analysis of static and dynamic magnetization behavior sensitive to surface laser treatments within the electromagnetic field diffusion inside GO SiFe electrical steels

Salloum, E.; Maloberti, Olivier; Nesser, M.; Panier, S.; Dupuy, Julien

doi:10.1016/j.jmmm.2020.166613

Cited by 4 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result is usually a cloud of numerous data that must be modeled with a statistic distribution of walls population as a function of HM and its first time derivative tHM. The choice of the statistic distribution depends on the material and it is already not the same for NO [17,25,26] and GO materials [32]. However, in any case,  is still a decreasing function of the dynamic field, a combination of HM and its first time derivative.…”

Section: Discussionmentioning

confidence: 99%

“…The static hysteresis loss contribution is not taken into account in a strict sense in this paper but can be included in the present model if required (solutions given in the references [17,25,32]). As a consequence, the whole possible hysteresis, especially with minor loops at very low frequencies, cannot be predicted faithfully except if we develop the present model by including a model of static hysteresis.…”

Section: 1 3 S Ta T I C H Y St Er E S Is B Eh a Vi O R A L L Awmentioning

confidence: 99%

“…Let's then measure the domains' width as a function of the thickness. The observation of magnetic domains with the MOIF technique allows to estimate the statistical average of domains' width 𝑙 defined in equation (32). In fact, MOIF images of domains can be analyzed with the FFT technique in 2D (see Figure 23).…”

Section: Observation Of the Grains Size And The Surface Magnetic Stru...mentioning

confidence: 99%

See 2 more Smart Citations

Sheet thickness dependence of magnetization properties based on domains and walls within the non-linear diffusion-like equation for grain-oriented electrical steels

Maloberti

Salloum²,

Ababsa

et al. 2022

Journal of Magnetism and Magnetic Materials

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: 1 3 S Ta T I C H Y St Er E S Is B Eh a Vi O R A L L Awmentioning

confidence: 99%

Section: Observation Of the Grains Size And The Surface Magnetic Stru...mentioning

confidence: 99%

See 1 more Smart Citation

Sheet thickness dependence of magnetization properties based on domains and walls within the non-linear diffusion-like equation for grain-oriented electrical steels

Maloberti

Salloum²,

Ababsa

et al. 2022

Journal of Magnetism and Magnetic Materials

View full text Add to dashboard Cite

“…Soft magnetic materials have also been investigated and reviewed for medium frequency [6] and high-frequency applications [7]. Novel laser techniques have also been proposed to treat the surface of soft magnetic materials, allowing to improve the performance of transformers and to reduce their overall losses [9]. Different laser parameters have been tested, allowing to reduce the core losses [10], modify the magnetic properties [11], and improve the transformer noise behavior [12].…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Evaluation and Heat Transfer Characteristics of a Soft Magnetic Transformer Built from Laminated Steel Plates

Cano-Pleite

Barrado

García-Hernando

et al. 2021

Sensors

View full text Add to dashboard Cite

The present work evaluates, both experimentally and numerically, the heat transfer characteristics of a 5 kW three-phase transformer built from laminated steel sheets. The transformer is operated at different powers, and its temperature distribution is monitored using 108 thermocouples. The experimental measurements are used firstly to determine the heat dissipated at the core and the windings of the transformer. This information is used as an input for a finite element numerical model, which evaluates the heat transfer characteristics of the transformer. The model proposed in this work simply solves the diffusion equation inside the transformer, accounting for the anisotropic thermal conductivity of the different components of the transformer, together with well-known correlations at its boundaries. The results reveal that the proposed numerical model can correctly reproduce the maximum temperature, the temperature distribution, and the time-evolution of the temperature at specific points of the transformer measured during the experimental campaign. These results are of great use for the subsequent development of transformers of the same type in lab-scale or industrial-scale size and reveal the applicability of simplified numerical models to accurately predict the heat transfer characteristics of this kind of transformers.

show abstract

Identification of magnetic induced strain of electrical steels using non-destructive acceleration measurement and inverse vibration modeling

Salloum

Maloberti

Panier

et al. 2021

Journal of Sound and Vibration

View full text Add to dashboard Cite

Identification and analysis of static and dynamic magnetization behavior sensitive to surface laser treatments within the electromagnetic field diffusion inside GO SiFe electrical steels

Cited by 4 publications

References 20 publications

Sheet thickness dependence of magnetization properties based on domains and walls within the non-linear diffusion-like equation for grain-oriented electrical steels

Sheet thickness dependence of magnetization properties based on domains and walls within the non-linear diffusion-like equation for grain-oriented electrical steels

Numerical and Experimental Evaluation and Heat Transfer Characteristics of a Soft Magnetic Transformer Built from Laminated Steel Plates

Identification of magnetic induced strain of electrical steels using non-destructive acceleration measurement and inverse vibration modeling

Contact Info

Product

Resources

About