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EBSD study of angular deviations from the Goss component in grain-oriented electrical steels.

Nicolas Bernier¹, Elke Leunis, Carlos Furtado

¹OCAS N.V., ArcelorMittal Global R&D Gent, 9060 Zelzate, Belgium.

Micron (Oxford, England : 1993)

|October 5, 2013

Summary

This study introduces a new Electron Backscatter Diffraction (EBSD) method to precisely measure grain orientation deviations (α and β angles) in grain-oriented (GO) electrical steels. This technique enhances the understanding of texture-property relationships for improved magnetic performance.

Keywords:

Electron Backscatter Diffraction Grain-oriented electrical steels Magnetic properties Texture

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Area of Science:

Materials Science
Physics
Metallurgy

Background:

Magnetic properties of grain-oriented (GO) electrical steels are critically influenced by crystallographic orientation deviations.
Standard methods often use simplified deviation angles, not fully capturing the complex texture affecting magnetic performance.

Purpose of the Study:

To develop and validate a new procedure for deriving α and β angles from Electron Backscatter Diffraction (EBSD) mappings.
To quantitatively characterize texture in GO electrical steels and correlate it with magnetic properties.
To establish a new parameter for evaluating grain orientation quality.

Main Methods:

Utilized Electron Backscatter Diffraction (EBSD) mapping to derive α and β angles.
Applied the procedure to 37 GO steels post-secondary recrystallization.
Compared EBSD-derived texture-polarization (J800) relationships with previous optical goniometry and X-ray diffraction data.

Main Results:

The average α and β deviation angles were identified as relevant parameters for characterizing grain orientations.
A quantitative correlation between polarization and texture was established using EBSD.
The study demonstrated the utility of EBSD for analyzing the crystallographic environment of highly oriented grains.

Conclusions:

The developed EBSD procedure provides a more accurate quantitative texture characterization for GO electrical steels.
The findings enable better understanding and prediction of magnetic properties based on grain orientation.
This approach facilitates the production of high-permeability steels by optimizing grain texture and evaluating angular deviations.