Prediction of the Energy Losses in Soft Magnetic Alloys Based on the Magnetic Objects Theory in the Case of the Uniform Magnetic Flux Penetration

2014 ◽  
Vol 792 ◽  
pp. 260-265
Author(s):  
Veronica Paltanea ◽  
Gheorghe Paltanea ◽  
Horia Gavrila

We report an investigation and a theoretical assessment of energy loss prediction in crystalline and amorphous soft magnetic materials. There were tested a sample made from non-oriented silicon iron (NO FeSi) M800-65A, industrial type alloy, cut longitudinally to the rolling direction and a toroidal sample of Co67Fe4B14.5Si14.5amorphous ribbon. The losses behaviour of the crystalline NO FeSi strip was studied as function of frequency in the range of 5 Hz to 200 Hz at a given magnetic polarization (Jp) of 0.5 T and 1 T. In the case of the amorphous Co-based ribbon the losses variation was studied as function of frequency in the range of 5 Hz to 10 kHz at a given magnetic polarization of 20 mT. Using the concept of loss separation for the data analysis, in the approximation of linear magnetization law and low frequency limit, it can be considered in both cases, that the excess losses can be quantitatively assessed within the theoretical framework of the statistical loss model based on magnetic object theory.

2015 ◽  
Vol 1105 ◽  
pp. 83-87 ◽  
Author(s):  
Veronica Manescu Paltanea ◽  
Gheorghe Paltanea ◽  
Horia Gavrila

Non-oriented silicon iron (NO Fe-Si) alloys are soft magnetic materials used in the construction of medium and high power rotating machines. To obtain efficiency higher than 95%, it is necessary to promote a new design of their magnetic circuits and/or alternative cutting technologies. There were tested steel samples of fully processed non-oriented silicon iron (NO FeSi) grades, M400-65A and M800-65A, with an area of 300 × 30 mm2. The magnetic properties were measured with a single strip tester in the range of frequency from 10 ÷ 200 Hz at 1 T peak magnetic polarization. The sheet cutting technologies, involved in this study, are mechanical, laser, water-jetting and electro-erosion.


2009 ◽  
Vol 152-153 ◽  
pp. 66-69 ◽  
Author(s):  
V.V. Gubernatorov ◽  
T.S. Sycheva ◽  
Irina I. Kositsyna

A new concept is suggested that serves to explain the effects of thermomagnetic treatment. Its validity is proved via measurements of magnetic properties and electron microscopy examination of structure of soft magnetic materials after different treatments. This concept allows one to consciously choose the treatment mode aiming on improvement of magnetic properties of alloys.


2020 ◽  
Vol 11 (1) ◽  
pp. 107-112
Author(s):  
A Said Sikder ◽  
SD Nath ◽  
SS Sikder

Amorphous soft magnetic materials have significant potential applications in specialist power transformers and in inductive devices. With the composition of Fe82Si8B10, 82% of the transition metals Fe and about 18% of metalloid or glass-former elements like B and Si are strongly magnetic at room temperature and offer dynamic opportunities for engineering applications. The crystallization kinetics has been studied by differential thermal analysis (DTA). The sample was annealed in a controlled way in the temperature range of 350-450°C at constant annealing time one hour. The kinetics of primary crystallization α-Fe(Si) phase and secondary crystallization Fe2B phase was studied as affected due to temperature. The sample annealed at 350oC temperature is almost unchanged which is still lower than that of primary crystallization temperature but the same condition when sample annealed at 450°C completely shows that the primary crystallization α-Fe(Si) phase has vanished and crystallization event took place to a good extent. Journal of Engineering Science 11(1), 2020, 107-112


Author(s):  
S.W. Du ◽  
R.V. Ramanujan

The Herzer model suggests that superior magnetic properties can be observed in magnetic alloys provided a suitable microstructure consisting of soft magnetic nanometre size precipitates separated by nanometre size distances is obtained. In order to explore new magnetic alloy compositions which can satisfy the Herzer model, we studied selected alloys in which we wished to obtain suitable microstructures, one such alloy has the composition Fe40Ni38B18Mo4. This alloy is amorphous as received, the heat treatment schedule required to obtain nanoprecipitates was designed based on DSC, resistivity and x-ray results. Heat treatment at temperatures between 420 0C and 500 0C and different heat times was carried out on the amorphous ribbon. Transmission Electron Microscopy (TEM) results of the early stage of crystallization behavior showed that soft magnetic precipitates of nano-size were indeed observed within the amorphous matrix. The crystal structure, composition analysis and thermal stability of the precipitates were studied by XRD, EDS and TEM. These results will be presented and the implication of these results to the production of new soft magnetic alloys will be emphasized.


2021 ◽  
Vol 21 (4) ◽  
pp. 79-89
Author(s):  
Muhammed Fatih Kılıçaslan ◽  
Yasin Yılmaz ◽  
Bekir Akgül ◽  
Hakan Karataş ◽  
Can Doğan Vurdu

Abstract Alloys of FeNiSiB soft magnetic materials containing variable Fe and Ni contents (wt.%) have been produced by melt spinning method, a kind of rapid solidification technique. The magnetic and structural properties of FeNiSiB alloys with soft magnetic properties were investigated by increasing the Fe ratio. X-ray diffraction analysis and SEM images shows that the produced alloy ribbons generally have an amorphous structure, together with also partially nanocrystalline regions. It was observed that the structure became much more amorphous together with increasing Fe content in the composition. Among the alloy ribbons, the highest saturation magnetization was obtained as 0.6 emu/g in the specimen with 50 wt.% Fe. In addition, the highest Curie temperature was observed in the sample containing 46 wt.% Fe.


2014 ◽  
Vol 698 ◽  
pp. 326-332
Author(s):  
Viktor Konashkov ◽  
Vladimir Tsepelev

The quality of metal production can be different even at identical elemental composition and similar heat treatment. The thermo-time smelting regime influences on structure of a metal melt. The structure of a melt influences on process of a hardening and quality of solid alloy. The thermo-time processing of a melt is very relevant at production of nanocristaline materials. The structure of amorphous ribbon is inherited from a melt. The long-lived relaxation processes can be exist in liquid state. They can lasts units or even tens hours. The thermo-time processing allows to receive an equilibrium melt. The properties of an equilibrium melt depend only on an elemental composition and temperature. The development of thermo-time processing is possible on the basis of analysis of different structural-sensing properties of melts. The thermo-time processing is a combination of heating temperatures and temporary ranges. But more often it is possible to determine temperature at which one a melt passes to an equilibrium state practically instantly. Such temperature is named “critical temperature”. The achievement of “critical temperature” is accompanied by anomalies on relations of properties to temperature. The quality of soft magnetic materials received from melt heated up above than “critical temperature” is higher.


2011 ◽  
Vol 60 (1) ◽  
pp. 59-66
Author(s):  
Jan Szczygłowski ◽  
Paweł Kopciuszewski ◽  
Krzysztof Chwastek ◽  
Mariusz Najgebauer ◽  
Wiesław Wilczyński

The accuracy of loss prediction in magnetic materialsThe paper presents a formula useful for prediction of loss density in soft magnetic materials, which takes into account multi-scale energy dissipation. A universal phenomenologicalP(Bm, f) relationship is used for loss prediction in chosen soft magnetic materials. A bootstrap method is used to generate additional data points, what makes it possible to increase the prediction accuracy. A substantial accuracy improvement for estimated model parameters is obtained in the case, when additional data points are taken into account. The proposed description could be useful both for device designers and researchers involved in computational electromagnetism.


2021 ◽  
Vol 7 (6) ◽  
pp. 84
Author(s):  
Elio A. Périgo ◽  
Rubens N. de Faria

The implementation of artificial intelligence into the research and development of (currently) the most economically relevant classes of engineering hard and soft magnetic materials is addressed. Machine learning is nowadays the key approach utilized in the discovery of new compounds, physical–chemical properties prediction, microstructural/magnetic characterization, and applicability of permanent magnets and crystalline/amorphous soft magnetic alloys. Future opportunities are envisioned on at least two fronts: (a) ultra-low losses materials, as well as processes that enable their manufacturing, unlocking the next step for higher efficiency electrification, power conversion, and distribution; (b) additively manufactured magnetic materials by predicting and developing novel powdered materials properties, generative design concepts, and optimal processing conditions.


Sign in / Sign up

Export Citation Format

Share Document