Issue |
Metall. Res. Technol.
Volume 118, Number 1, 2021
|
|
---|---|---|
Article Number | 113 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/metal/2020091 | |
Published online | 24 February 2021 |
Regular Article
Development of thin-gauge low iron loss non-oriented silicon steel
1
National Engineering Research Center of Continuous Casting Technology, China Iron & Steel Research Institute Group,
Beijing
100081, PR China
2
School of Metallurgy and Resources, Anhui University of Technology,
Maanshan
243002, PR China
3
WISDRI(xinyu) Cold Processing Engineering Co. Ltd,
Xinyu
338029, PR China
* e-mail: qiaojialong2015@126.com
Received:
18
August
2020
Accepted:
15
December
2020
Microstructure, texture, inclusions and precipitates in Fe-2.97wt%Si non-oriented silicon steel during manufacture were investigated using Scanning Electron Microscopy (SEM), Organic Solvent Electrolysis and Electron Backscattered Diffraction(EBSD)techniques. The P10/400, P15/50 and B50 of thin-gauge non-oriented silicon steel with 0.3 mm in thickness were 13.85 W/kg, 2.38 W/kg and 1.66 T, respectively. Due to annealing of hot rolled band, the size of precipitates increased. The precipitates are mostly located at the grain boundaries in the annealed sheet, the main and average size of the grain-boundary precipitates were in the range of 30 ∼ 500 nm and 63.2 nm, respectively. The pinning force caused by 100 ∼ 300 nm particles at the grain boundaries was the largest, 70 ∼ 100 nm was second. During annealing of hot rolled band, the α*-fiber texture significantly developed and γ-fiber dropped dramatically. The γ-fiber texture and α*-fiber texture composed the main textures of annealed sheet. The texture randomization would give rise to better magnetic properties compared to the γ-fiber.
Key words: non-oriented silicon steel / thin-gauge / texture / precipitates / magnetic properties
© EDP Sciences, 2021
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.