About this Abstract |
Meeting |
6th International Congress on 3D Materials Science (3DMS 2022)
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Symposium
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6th International Congress on 3D Materials Science (3DMS 2022)
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Presentation Title |
3D Non-destructive Characterization of Electrical Steels for Quantitative Texture Analysis with Lab-based X-ray Diffraction Contrast Tomography (DCT). |
Author(s) |
Jun Sun, Jette Oddershede, Ivan Petryshynets, Li Meng, Ning Zhang, Yang Li, Florian Bachmann, Erik Lauridsen |
On-Site Speaker (Planned) |
Jette Oddershede |
Abstract Scope |
Electrical steels are core materials for electrical appliances and equipment. The magnetic properties determine the material efficiency in service and strongly depend on the grain structure – in particular on texture. Knowing which texture components are present and where they are located spatially is key to understanding the mechanisms of texture evolution during processing.
Recent developments of lab-based DCT include advanced acquisition strategies, allowing users to seamlessly collect and reconstruct diffraction data covering large representative volumes while accommodating a variety of sample geometries, including plate-like specimens.
With case studies of both non-oriented and grain-oriented electrical steels, lab-based DCT demonstrates its potential for advanced characterization of the grain structure and texture of electrical steels. Compared with commonly used techniques such as light optical microscopy, X-ray diffraction and electron backscattered diffraction, lab-based DCT complements the characterization needs for electrical steels with its 3D capability as well as large representative volume imaging. |
Proceedings Inclusion? |
Definite: Other |