Analysis of Magnetic Properties of Soft Magnetic Composite Using Discrete Element Method

Maruo, Akito; Igarashi, Hajime

doi:10.1109/tmag.2019.2900287

Cited by 23 publications

(6 citation statements)

References 9 publications

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“…For more precision, the loss data points in varying magnetic flux density and frequency might be increased.  The accuracy of proposed empirical Steinmetz equations given in (20) and ( 21) are dependent upon the accuracy of curve-fitting and it is constrained with the sizes of the rings used in the experiments.  FE software users could ideally define more than one Steinmetz equation for different sections of the geometry to accurately compute the overall power loss.…”

Section: Discussionmentioning

confidence: 99%

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Empirical Implementation of the Steinmetz Equation to Compute Eddy Current Loss in Soft Magnetic Composite Components

et al. 2022

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Finite element analysis of magnetic materials allows accurate prediction of losses and is crucial in the design of electromagnetic devices and products. Soft magnetic composites are an alternative to silicon steel laminations, yet the electromagnetic material properties are less well documented and include uncertainties which can lead to inaccurate iron and Joule loss computations. The microstructure of soft magnetic composites, which is based on ferromagnetic particles coated by inorganic resistive insulation, makes the process of iron loss prediction unique. Composite core materials require further attention by design engineers in terms of the effect of component size and pressing processes on core loss predictions, which for laminations uses the well-known Steinmetz law. This study accesses the existing soft magnetic composite core loss modelling trends using experimentally measured results. The challenges of estimating and using Steinmetz core loss coefficients via curve fitting approaches are discussed. The study indicates that soft magnetic composite components need to be treated differently to laminated iron cores. Modelling the composite materials in finite element software requires experimentally informed loss models to be able to accurately compute power losses under varying magnetic flux density and electrical frequency. An approach is suggested which can predict iron losses to within 7%, but is only validated for component cross sectional areas of 144 mm 2 or less.

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Section: Discussionmentioning

confidence: 99%

“…18. If equation (19), which is a function of cross-sectional area, is substituted into equation ( 18), an empirical Steinmetz equation can be formed as given in (20).…”

Section: Figure 18 Non-linear Regression Analysis For the Varying 𝑲 𝒆𝒑 ̃Values In The Experimentsmentioning

confidence: 99%

Empirical Implementation of the Steinmetz Equation to Compute Eddy Current Loss in Soft Magnetic Composite Components

et al. 2022

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“…Therefore, to better understand the behaviour of this increasingly popular class of materials for their prospective improvement, the mentioned factors, as well as the magnetic interactions between adjacent particles and the movability of domain walls, are of great significance to be studied in detail and considered in various models when applied to SMCs. For example, the Jiles-Atherton model in [24][25][26], the Steinmetz law in [2,22,27], the first-order reversal curves analysis in [6], the models for magnetization curves in [28][29][30], for energy losses in [2,3,5,7,25,[31][32][33][34][35], for different kinds of magnetic permeability in [2,9,14,15,[36][37][38][39][40][41][42][43], for inner demagnetizing fields in [2,4,38,[44][45][46][47][48] or magnetostriction in [49], were adapted to fit for SMCs. Since the application potential of SMCs covers a wide range of frequencies and magnetic inductions, researches are carried out in different ranges of these parameters.…”

Section: Introductionmentioning

confidence: 99%

Wide induction range analysis of DC magnetic properties and magnetization processes of Fe-based soft magnetic composites

Birčáková

Kollář

Füzer

et al. 2023

J. Phys. D: Appl. Phys.

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The paper presents systematic analyses of a wide maximum induction range (0.001 T - 1.4 T) DC magnetic properties of iron-based soft magnetic composite materials by applying different methods to understand the specific features of magnetization reversal of this increasingly popular class of soft magnetic materials, including a hitherto less explored area of the Rayleigh region of very low magnetic fields, which has growing application potential in new, low-energy consuming electronic devices or ultra-low magnetic field shielding. The total permeability, coercive field and remanent magnetic induction were analysed in connection with the reciprocity factor and inner demagnetization factor and their relations to interparticle magnetic interaction, domain wall movability and predominance of individual magnetization processes. Their dependence on the magnetic induction and the properties of each sample were revealed and confirmed also by energy loss separation. The Rayleigh region analytical expressions for the coercive field, remanent magnetic induction, the ratio of irreversible to reversible magnetization changes and their percentages within the magnetizing cycle were used for soft magnetic composites for the first time.

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“…Homogenization studies on SMCs have been carried out analytically, semi-analytically, and numerically [2], [3], [4], [5]. Numerical homogenization has enjoyed a significant advancement in time-dependent magnetism [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

LOD Homogenization of Multiscale Eddy Current Problem in Time Domain

et al. 2021

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Devices fabricated from Soft Magnetic Composites (SMCs) are gaining popularity in research and application. The multiscale characteristics require special attention. Solving the quasi-statics Maxwell's equations on such devices consumes huge time and memory if the granular scale of SMCs is resolved. We have proposed a Localized Orthogonal Decomposition (LOD) homogenization strategy which allows us to compute the problem on a middle scale while retrieving the material dimension. The LOD projector has a localization property so that it can be accurately approximated on a local patch. In this work, we explore the localization characteristic further to show that the projector can be reused at different time steps. The requirement for computational time and memory can be greatly reduced. A numerical example in two dimensions is provided to show the feasibility and advantage of this approach. This technique is applied to a domain of SMCs with randomly distributed polygon-shaped granules. Finally, error analysis is provided to show the validation of the LOD projector.

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Analysis of Magnetic Properties of Soft Magnetic Composite Using Discrete Element Method

Cited by 23 publications

References 9 publications

Empirical Implementation of the Steinmetz Equation to Compute Eddy Current Loss in Soft Magnetic Composite Components

Empirical Implementation of the Steinmetz Equation to Compute Eddy Current Loss in Soft Magnetic Composite Components

Wide induction range analysis of DC magnetic properties and magnetization processes of Fe-based soft magnetic composites

LOD Homogenization of Multiscale Eddy Current Problem in Time Domain

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