Research Papers

Multiproperty Microstructure and Property Design of Magnetic Materials

[+] Author and Article Information
Dongsheng Li, Greg Vialle, Hamid Garmestani

School of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive, Atlanta, GA 30332

Anthony D. Rollett

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213

J. Eng. Mater. Technol 130(2), 021023 (Apr 02, 2008) (7 pages) doi:10.1115/1.2870235 History: Received August 16, 2007; Revised January 17, 2008; Published April 02, 2008

Microstructure sensitive design was used in this study to design a textured soft magnet material to meet a range of magnetic properties. The evolution of microstructure and magnetic properties during mechanical processing was simulated and presented in a spectral representation for microstructure (texture hull) and magnetic property (property hull). The set of properties for a single path (or multiple processing paths) is represented in the property hull with a direct link to the range of desired microstructures. A methodology is proposed to achieve microstructures satisfying the requirement of multiple properties.

Copyright © 2008 by American Society of Mechanical Engineers
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Figure 4

Property hull composed of permeability tensor components μ11 and μ22. All the dot points correspond to the property of single crystals at different orientations with Euler angles at intermediate of 5deg: (f1=0,5,…,90; f=0,5,…,90; f2=0,5,…,90). Critical points on the boundary of the property hull are point A at (2100, 2100) for orientation (001)⟨100⟩, point B at (1485, 2100) for orientation (011)⟨01¯1⟩, point C at (1240, 1240) for orientation (111)⟨11¯0⟩, and point D at (2100, 1485) for orientation (101)⟨101¯⟩.

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Figure 5

Evolution of magnetic permeability tensor elements during (a) rolling, (b) uniaxial compression, and (c) uniaxial tension

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Figure 1

Materials design paradigm, showing the inverse flow from the design to property requirement to microstructure and to the last goal, processing

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Figure 2

Correlation function parameter cij at different angles θ for a porous YSZ microstructure shown in the embedded micrograph. Fit curve gives parameters cij0 and A in modified Corson’s function.

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Figure 3

(a) Microstructure hull shown as a wired frame in the materials space composed by three texture coefficients; (b) processing paths of microstructure evolution in the materials space composed by F411, F412, and F413 during different processing methods, rolling, compression, and tension

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Figure 6

(a) Evolution of magnetic properties during processing in property space. (b) Magnified processing paths for random samples under rolling, compression, and tension, respectively. Point A is the starting point for random texture sample. Points B, C, and D are property points for samples at a strain of 100% under tension, rolling, and compression, respectively. If the design goal falls in the blue circle, rolling will achieve that property requirement. If the design goal falls in the red circle, rolling and compression both will satisfy.



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