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Wyszukujesz frazę "soft magnetic properties" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Structure and Soft Magnetic Properties of the Amorphous Alloys: Fe61Co10Ti3-xY6+xB20 (x = 0,1)
Autorzy:
Błoch, K.
Powiązania:
https://bibliotekanauki.pl/articles/354790.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
structure
soft magnetic properties
amorphous alloys
Opis:
This paper presents studies relating to the structure, soft magnetic properties and thermal stability of the following bulk amorphous alloys: Fe61Co10Ti3-xY6+xB20 (x = 0, 1). On the basis of the performed X-ray diffraction studies and Mössbauer spectroscopy, it was found that investigated samples were amorphous in the as-cast state. The DSC curve obtained for Fe61Co10Ti2Y7B20 alloy exhibited one exothermic peak, while for the Fe61Co10Ti3Y6B20 sample, two peaks were distinguishable. The change in the chemical structure of the investigated alloys has a major effect on their soft magnetic properties; especially on coercivity and saturation magnetization. On the basis of the magnetization curves analysis, the spin wave stiffness parameter Dsp were determined for the investigated alloys.
Źródło:
Archives of Metallurgy and Materials; 2016, 61, 1; 445-450
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study on the Optimization of Metalloid Contents of Fe-Si-B-C Based Amorphous Soft Magnetic Materials Using Artificial Intelligence Method
Autorzy:
Choi, Young-Sin
Kwon, Do-Hun
Lee, Min_Woo
Cha, Eun-Ji
Jeon, Junhyub
Lee, Seok-Jae
Kim, Jongryoul
Kim, Hwi-Jun
Powiązania:
https://bibliotekanauki.pl/articles/2174571.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Fe-based amorphous
soft magnetic properties
artificial intelligence
machine learning
random forest regression
Opis:
The soft magnetic properties of Fe-based amorphous alloys can be controlled by their compositions through alloy design. Experimental data on these alloys show some discrepancy, however, with predicted values. For further improvement of the soft magnetic properties, machine learning processes such as random forest regression, k-nearest neighbors regression and support vector regression can be helpful to optimize the composition. In this study, the random forest regression method was used to find the optimum compositions of Fe-Si-B-C alloys. As a result, the lowest coercivity was observed in Fe80.5Si3.63B13.54C2.33 at.% and the highest saturation magnetization was obtained Fe81.83Si3.63B12.63C1.91at.% with R2 values of 0.74 and 0.878, respectively.
Źródło:
Archives of Metallurgy and Materials; 2022, 67, 4; 1459--1463
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of Zr and Nb on the Electrical and Magnetic Properties of the Fe-Zr-Nb-B-Cu Alloy
Autorzy:
Noh, Junghyun
Park, Seungyeon
Hwang, Haejin
Lim, Kyoungmook
Powiązania:
https://bibliotekanauki.pl/articles/350932.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
soft magnetic
magnetic properties
amorphous alloy
nanocrystalline alloy
electrical properties
Opis:
The present study, aims to investigate the effect of minor Zr and Nb alloying on soft magnetic and electrical properties of Fe86 (Zrx Nb1-x )7B6 Cu1 (x=1, 0.75, 0.5, 0.25) alloys. The investigated alloys were prepared through the melt spinning process. Within the examined compositional range (Nb up to 5.25 at%, respectively), the soft magnetic properties and electrical resistivity of the alloys continuously increase with increasing Nb content. However increasing the Nb content further decreases such properties. We could confirm the influence of ratio of Zr and Nb on grain growth and crystallization fraction during crystallization by using the soft magnetic properties and electrical properties.
Źródło:
Archives of Metallurgy and Materials; 2019, 64, 3; 879-882
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Advances in Powder Metallurgy Soft Magnetic Composite Materials
Autorzy:
Bureš, R.
Strečková, M.
Fáberová, M.
Kollár, P.
Füzer, J.
Powiązania:
https://bibliotekanauki.pl/articles/353238.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
resin bonded SMC
soft magnetic ferrites
compaction
microwave sintering
magnetic and mechanical properties
Opis:
Powder metallurgy has grown with the expansion of various industry. Automotive industry had the most strong influence. Today, more than 90% of PM products are used in the transportation industry. Development of new materials such as magnetic materials is expected to meet the new trends of automotive industry, electric and hybrid vehicles. Soft magnetic composites (SMC) are PM materials based on ferromagnetic powder particles covered by electric insulation layer. Concept of SMC’s and PM technologies offer possibility to become faster, use higher frequencies, become smaller and denser, save more energy, achieving high permeability and lower core loss in high frequency region, which is required for soft magnetic materials. Investigation of correlations among compaction parameters, inner structure, magnetic and mechanical properties are presented.
Źródło:
Archives of Metallurgy and Materials; 2017, 62, 2B; 1149-1154
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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