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Material and Mechanical Engineering Technology
Article . 2022 . Peer-reviewed
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Features of Magnetic Field Modeling for Magnetic-Abrasive Treatment of Complex-Profile Surfaces

Authors: Akulovich, L. M.; Sergeev, L. E.; Mendaliyeva, S. I.; Sherov, K. T.;

Features of Magnetic Field Modeling for Magnetic-Abrasive Treatment of Complex-Profile Surfaces

Abstract

The process of modeling a magnetic field under magnetic abrasive machining of complex surfaces of engineering products is considered. Spherical shapes and surfaces of small-modular gears are considered as complex- profile surfaces. The intensity and magnetic induction of the magnetic field are determined, by which the effectiveness of the magnetic abrasive processing method is evaluated. Рассмотрен процесс моделирования магнитного поля при магнитно-абразивной обработке сложных поверхностей изделий машиностроения. Сферические формы и поверхности мелкомодульных зубчатых колес рассматриваются как поверхности сложного профиля, определяют напряженность и магнитную индукцию магнитного поля, по которым оценивают эффективность метода магнитно-абразивной обработки.

Country
Belarus
Keywords

ферроабразивные порошки, ferro-abrasive powder, quality, magnetic induction, качество обработанной поверхности, магнитно-абразивная обработка, магнитная индукция, magnetic abrasive machining, 620

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green