V. A. Milyutin

Russian Academy of Sciences

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I.V. Gervasyeva

M.N. Mikheev Institute of Metal Physics

Mária Fáberová

Slovak Academy of Sciences

Radovan Búreš

Slovak Academy of Sciences

Eric Beaugnon

Université Grenoble Alpes

Zuzana Birčáková

Institute of Materials Research of the Slovak Academy of Sciences

J. Füzer

University of Pavol Jozef Šafárik

P. Kollář

University of Pavol Jozef Šafárik

ИВ

И. В. Гервасьева

M.N. Mikheev Institute of Metal Physics

ДА

Д. А. Шишкин

Ural Federal University

ДП

Д. П. Родионов

M.N. Mikheev Institute of Metal Physics

Cooperative Institutions

M.N. Mikheev Institute of Metal Physics

Russian Academy of Sciences

Slovak Academy of Sciences

Ural Branch of the Russian Academy of Sciences

National University of Science and Technology

Institute of Materials Research of the Slovak Academy of Sciences

Technical University of Košice

Ural Federal University

Ural Institute of Metals

Institute of Physics

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Change in the electrical resistance of a binary magnetostrictive FeGa alloy on doping with a third component

x (2022)

V. A. Milyutin

Component (thermodynamics)

10.32460/ishmu-2022-10-0055

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Citations (0)

Texture formation in FeGa alloy at cold hydrostatic extrusion and primary recrystallization

Journal of Alloys and Compounds (2019)

V. A. Milyutin I.V. Gervasyeva Е. Г. Волкова A. Alexandrov В. В. Чеверикин

Recrystallization (geology)

Volume fraction

Dynamic Recrystallization

Hydrostatic equilibrium

10.1016/j.jallcom.2019.153283

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Citations (15)

Formation of cube texture during annealing of rolled tapes from alloys Ni95.3Mo4.7 and Ni48.8Fe51.2

The Physics of Metals and Metallography (2013)

И. В. Гервасьева Yu. V. Khlebnikova Д. П. Родионов Е. С. Белослудцева V. A. Milyutin

Recrystallization (geology)

Atmospheric temperature range

Dynamic Recrystallization

10.1134/s0031918x13020075

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Citations (12)

Experimental study of the density of the helium-nitrogen gas system at low temperatures.

Journal of Physics Conference Series (2017)

V. A. Milyutin

At the Department of TOT, an experimental setup was created to measure the density of a binary gas system from 100 to 300 K and pressures up to 16 MPa and with any mixture compositions. Experimental density for the helium-nitrogen system were determined by the piezometer of constant volume method. The amount of substance in the piezometer was measured by volumetric method. In this setup, the mixture of He – N2 was prepared in a special mixer for a series of p-v-T experiments, the concentration was determined by calculation using the equations of state of pure components. In the experiment, mixtures were prepared with molar concentrations, lying close to the range: 0.2, 0.4, 0.6 and 0.8.

Piezometer

10.1088/1742-6596/891/1/012345

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Structure and texture in rolled Fe82Ga18 and (Fe82Ga18)99B1 alloys after annealing under high magnetic field

Physica B Condensed Matter (2022)

V. A. Milyutin I.V. Gervasyeva Д. А. Шишкин Eric Beaugnon

Recrystallization (geology)

10.1016/j.physb.2022.413994

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Citations (4)

Centrifugal Casting of Fe82Ga18 Alloy as a Tool of Mechanical Properties Improvement

Metallurgical and Materials Transactions A (2021)

V. A. Milyutin I.V. Gervasyeva D. I. Davidov С. М. Никифорова

Centrifugal casting (silversmithing)

Centrifugal force

Ductility (Earth science)

10.1007/s11661-021-06348-9

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Citations (4)

Machine learning assisted optimization of soft magnetic properties in ternary Fe–Si–Al alloys

Journal of Materials Research and Technology (2024)

V. A. Milyutin Radovan Búreš Mária Fáberová Zuzana Birčáková Zuzana Molčanová

The transition from the traditional "post-analysis" strategy for developing soft magnetic materials to an innovative "pre-design" one is highly desirable for the development of advanced electrical devices. In this work, we present the creation of a machine learning (ML) model capable of accurately predicting the soft magnetic properties (JS, HC, μ, ρ) of Fe–Si–Al alloys based on their composition. Through extensive ML experiments employing various algorithms commonly utilized in ML-assisted materials science, including SVM, RFR, KNR, XGB, and others, we achieved high accuracy in predictions, as indicated by R2 values close to 1. The best models were used to predict the properties of the 22800 FeSiAl alloys with the Al and Si content up to 15 wt % and step 0.1 %. Out of this vast compositional space, five alloys were selected for experimental validation, demonstrating the high quality of the predictions. The performance of ML models for specific properties is analyzed in terms of the nature of the distribution of the data used for training. In addition, some composition-properties correlations in the Fe–Si–Al system were analyzed and discussed.

10.1016/j.jmrt.2024.02.215

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Citations (5)

Formation of Effective Non-ferromagnetic Barrier in Fe/MgO Soft Magnetic Composite

ACS Applied Electronic Materials (2024)

Radovan Búreš Miroslav Neslušan Mária Fáberová Mária Čilliková Zuzana Birčáková

Soft magnetic ferromagnetic/insulator composites are complex objects in terms of structure and magnetic properties. They depend on many different parameters, among which one of the main ones is the amount of insulator. In this work, the effect of MgO content on magnetization processes in Fe/MgO composites is studied in detail by using a wide combination of properties and structure analysis methods. Several series of samples with content steps up to 0.1 wt % were prepared using standard powder metallurgy operations such as dry mixing, cold pressing, and sintering. The study demonstrates that the evolution of Barkhausen noise with increasing MgO content is not systematic. The second phase acts as an effective barrier to magnetic interaction between neighboring Fe particles only after reaching a certain point, which was found to be about 0.9% wt. Some other properties (coercivity, permeability, elastic properties) also demonstrate nontrivial composition dependence. To reveal the causes of the observed phenomena, the structure of the composites was studied in detail, and it was shown that with an increase in the MgO content in the range of 0.8–1%, a change in the mechanisms of structure formation occurs, which, in turn, affects the properties. The presented results provide insights into developing advanced soft magnetic composites with an optimal combination of a ferromagnetic powder and an insulator.

Barkhausen effect

Powder Metallurgy

Ferromagnetic material properties

10.1021/acsaelm.3c01829

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Citations (2)

Structure and Texture Formation in Rolled Fe-Ga Alloys During Annealing Under a High Magnetic Field

SSRN Electronic Journal (2022)

V. A. Milyutin Irina V. Gervasyeva Denis A. Shishkin Eric Beaugnon

The structure and crystallographic texture formation processes in two Fe-Ga magnetostrictive alloys during annealing of deformed samples under high magnetic field (HMF) 20 T have been studied. It was shown that the effect of the magnetic field on the structure transformation during annealing depends on the features of the recrystallization in alloys. In the case of recrystallization in a single-phase binary FeGa alloy, the application of HMF along the rolling direction promotes the formation of <100> grains along this direction. This leads to a twofold increase in the magnetostriction of the polycrystalline sample. In the same alloy, but with the presence of particles of the second phase HMF does not affect the texture. The reasons for this phenomenon were discussed. In addition, it was found that in both Fe-Ga alloys, the application of HMF during annealing retards the processes of structure evolution.

Texture (cosmology)

10.2139/ssrn.4082718

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Thermally activated transformations in alloys with different type of magnetic ordering under high magnetic field

Journal of Magnetism and Magnetic Materials (2019)

V. A. Milyutin I.V. Gervasyeva

Magnetic shape-memory alloy

Texture (cosmology)

10.1016/j.jmmm.2019.165654

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Citations (15)