A Study on Application Characteristics of 430 Electromagnetic Steel: Silicon Content, Magnetic Annealing Conditions, and Relationship Between Electrical Properties and Coercivity.

Saved in:
Bibliographic Details
Title: A Study on Application Characteristics of 430 Electromagnetic Steel: Silicon Content, Magnetic Annealing Conditions, and Relationship Between Electrical Properties and Coercivity.
Authors: Lu, Che‐Wei1 (AUTHOR), Hung, Fei‐Yi1 (AUTHOR) fyhung@mail.ncku.edu.tw, Chang, Tsung‐Wei2 (AUTHOR)
Source: Steel Research International. May2026, Vol. 97 Issue 5, p2451-2462. 12p.
Subjects: Silicon, Coercive fields (Electronics), Annealing of metals, Microstructure, Corrosion resistance, Magnetic properties, Electrical steel, Electric properties
Abstract: This study investigates the influence of silicon content and magnetic annealing parameters on the microstructure, mechanical, magnetic, and corrosion properties of 430 stainless steel, an electromagnetic material requiring improved response time. Samples with varying silicon contents (F, F‐1.5Si, and F‐2.0Si) are treated under different annealing conditions (850AC, 850FC, 760FC, and 760FC‐H2). All conditions produce equiaxed grain structures with precipitates and show good tensile strength and elongation. AC magnetic tests at 10–1000 Hz reveal that higher Si content reduced coercivity (Hc) while enhancing saturation and remanent magnetization (Bm, Br). Air annealing lowers Hc, Bm, and Br in F‐1.5Si, while hydrogen annealing reduces Hc and Br but increases Bm. Although higher Si content increases silicon‐rich phases, it did not improve corrosion resistance. The F‐1.5Si sample forms a thicker passivation layer, enhancing corrosion impedance. Finally, correlations between electrical properties and coercivity confirm the metallurgical mechanisms' critical role in optimizing magnetic behavior. [ABSTRACT FROM AUTHOR]
Copyright of Steel Research International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Be the first to leave a comment!
You must be logged in first