Using New Materials in Nonlinear Magnetic Systems of End-Face Hysteretic Electromechanical Energy Converters to Improve Their Energy Indicators

A study is performed of using new materials for the magnetic circuits of the stators and rotors of end-face hysteretic electromechanical energy converters in order to improve their energy performance. The magnetic and hysteretic properties of new stator and rotor materials are investigated. Electromagnetic losses and their effect on the energy indicators of a converter are determined.

Authors

Institutions

Publication Details

Journal
Bulletin of the Russian Academy of Sciences Physics
Published
2024-11-01
DOI
https://doi.org/10.1134/s1062873824708158
Citations
3
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using New Materials in Nonlinear Magnetic Systems of End-Face Hysteretic Electromechanical Energy Converters to Improve Their Energy Indicators

S. Yu. Ostanin, A. S. Liskin, I. M. Milyaev, Shumei Cui et al.
3 citations
Bulletin of the Russian Academy of Sciences Physics
Electric Power Systems and Control
0.63
article

Using New Materials in Nonlinear Magnetic Systems of End-Face Hysteretic Electromechanical Energy Converters to Improve Their Energy Indicators

S. Yu. Ostanin, A. S. Liskin, I. M. Milyaev, Shumei Cui, Zhu Chunbo, Nikita I. Abdugaliyev
article en
3 citations

Abstract

A study is performed of using new materials for the magnetic circuits of the stators and rotors of end-face hysteretic electromechanical energy converters in order to improve their energy performance. The magnetic and hysteretic properties of new stator and rotor materials are investigated. Electromagnetic losses and their effect on the energy indicators of a converter are determined.

Bulletin of the Russian Academy of Sciences PhysicsVol. 88(11)
Moscow Power Engineering Institute (RU), Harbin Institute of Technology (CN), Baikov Institute of Metallurgy and Materials Science (RU)
Affordable and clean energy
Openalex Percentile: Top 30%
Electric Power Systems and Control
0.63
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.