Modeling of two-phase magnetic materials based on Jiles–Atherton theory of hysteresis

Raghunathan, Arun; Melikhov, Yevgen; Snyder, John Evan; Jiles, David

doi:10.1016/j.jmmm.2011.07.017

Cited by 36 publications

(13 citation statements)

References 17 publications

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“…On the other hand, the approach to saturation of such a combination may exhibit some peculiarities leading to the appearance of more than one knee in compound f an . This may be quite natural in multiphase materials [14] and indeed has been observed indirectly ( [15], Fig. 3) in amorphous ribbons after annealing, what led to creation of a significant fraction of superparamagnetic phase.…”

Section: A Linear Combinationmentioning

confidence: 52%

Anhysteretic Functions for the Jiles–Atherton Model

Kokornaczyk

Gutowski

2015

IEEE Trans. Magn.

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The Jiles-Atherton (JA) model of ferromagnetic hysteresis usually bases on the Langevin function as its anhysteretic part. This leads to a problem, since for some known materials, the anhysteretic curve may not be modeled in view of fact, that the coupling parameter α, as determined from their major hysteresis loop, is too large, i.e., greater than the value permissible for the Langevin function. Therefore, a new function is required in order to omit this mathematical dilemma. Here, we present a set of simple functions, with their knees depending on one parameter only. Also, a more complicated function, with knee location depending on two parameters is analyzed, however, the Brillouin function again does not solve the difficulty with α. Therefore, within the frame of the JA model, a new function is proposed, making possible to have the initial differential susceptibility arbitrarily small. In addition, the strengthening of the effective field is considered and the permissible values of the second coupling parameter β, in respect to the Brillouin and Langevin functions, are presented. Finally, our new function is successfully used to model the measured anhysteretic curve.Index Terms-Anhysteretic functions, effective field, knee, permissible values of coupling parameters.

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Section: A Linear Combinationmentioning

confidence: 52%

Anhysteretic Functions for the Jiles–Atherton Model

Kokornaczyk

Gutowski

2015

IEEE Trans. Magn.

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“…Each individual stage follows the general expression given by the VVPM [Eq. (4)], and we ensure continuity of σ B for −1 < m < 1. σ B is then given by (9) for the up cycle, and A phenomenological approach was used to identify each value of the exponent k, similar to recent works treating the modeling of the hysteresis of magnetic materials [28,31,65,66]. More precisely, they were obtained by fitting the measured [CoFeB(3Å)/Pd(10Å)] 15 multilayer, and application of the model to the remaining samples revealed that they remain unchanged as long as there is a negligible in-plane component of the magnetization.…”

Section: Distribution Of Interactionsmentioning

confidence: 99%

“…However, due to the random distributions of defects and surface roughness, a micromagnetic approach is impractical due to the prohibitively long simulation times required. Numerical calculations and semianalytical hysteresis models like the Preisach, Jiles-Atherton, and vector-hysteresis models have been used successfully to characterize qualitatively and quantitatively different kinds * Corresponding author: carlos.garcia@usm.cl of materials and magnetic arrays by modeling experimental hysteresis loops [27][28][29][30][31]. However, none of the models is able to properly describe the magnetization switching of a thin film material with PMA.…”

Section: Introductionmentioning

confidence: 99%

Variable variance Preisach model for multilayers with perpendicular magnetic anisotropy

et al. 2016

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We present a variable variance Preisach model that fully accounts for the different magnetization processes of a multilayer structure with perpendicular magnetic anisotropy by adjusting the evolution of the interaction variance as the magnetization changes. We successfully compare in a quantitative manner the results obtained with this model to experimental hysteresis loops of several [CoFeB/Pd] n multilayers. The effect of the number of repetitions and the thicknesses of the CoFeB and Pd layers on the magnetization reversal of the multilayer structure is studied, and it is found that many of the observed phenomena can be attributed to an increase of the magnetostatic interactions and subsequent decrease of the size of the magnetic domains. Increasing the CoFeB thickness leads to the disappearance of the perpendicular anisotropy, and such a minimum thickness of the Pd layer is necessary to achieve an out-of-plane magnetization.

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“…6b shows that the remanence magnetization and coercivity with the applied field were shifted from -3000 Oe to 3000 Oe. Moreover, coercivity was greatly influenced by many factors Raghunathan et al, 2012), such as size, and it increased with the increasing particle size. These results are in excellent agreement with the SEM image where Fe 3 O 4 at MCM-41 was shown to have much larger size than Fe 3 O 4 at MCM-41/APTS.…”

Section: Shape Size and Morphological Characteristics Ofmentioning

confidence: 99%

Characterization and optimization of mesoporous magnetic nanoparticles for immobilization and enhanced performance of porcine pancreatic lipase

et al. 2015

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In this paper, Fe3O4 nanoparticles coated with mesoporous silica were prepared successfully, noted as Fe3O4 at the mobile composition of matter No. 41 (MCM-41). Also, Fe3O4 at MCM-41 was grafted by both 3-aminopropyltriethoxysilane (APTS) and 3-chloropropyltriethoxysilane (CPS), noted as Fe3O4 at MCM-41/APTS and Fe3O4 at MCM-41/CPS. The compounds were characterized by X-ray powder diffraction, scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, vibrating sample magnetometry, thermogravimetry and N2 adsorption/desorption. Then, the enzyme, porcine pancreas lipase (PPL), was immobilized onto these modified nanoparticles by covalent attachment, physical adsorption and cross-linking, noted as Fe3O4 at MCM-41/CPS-PPL, Fe3O4 at MCM-41-PPL and Fe3O4 at MCM-41/APTS-PPL, respectively. The results showed that Fe3O4 at MCM-41/CPS was the best nanomaterial for PPL immobilization, exhibiting enhanced immobilization efficiency (maximum 96 %), maximum relative activity (up to 96 %), high stability and reusability (83 % 56 days and 86.7 % ten cycles). Additionally, it offered some other advantages, such as easy recycling and reuse, complying with the trend of green chemistry. Therefore, Fe3O4 at MCM-41/CPS in combination with a relevant method can be proposed for commercial applications.

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Modeling of two-phase magnetic materials based on Jiles–Atherton theory of hysteresis

Cited by 36 publications

References 17 publications

Anhysteretic Functions for the Jiles–Atherton Model

Anhysteretic Functions for the Jiles–Atherton Model

Variable variance Preisach model for multilayers with perpendicular magnetic anisotropy

Characterization and optimization of mesoporous magnetic nanoparticles for immobilization and enhanced performance of porcine pancreatic lipase

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