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TECHNICAL PAPERS

Computer Identification of Structural Weaknesses in Locally Anisotropic Polycrystalline Materials

[+] Author and Article Information
Xu-Dong Li

MatCom, 86 Iroquois Rd., West Hartford, CT 06117

J. Eng. Mater. Technol 123(3), 361-370 (Mar 09, 2001) (10 pages) doi:10.1115/1.1375158 History: Received July 07, 2000; Revised March 09, 2001
Copyright © 2001 by ASME
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References

Figures

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Sketch of geometric relations. (a) Reference frame in polycrystalline material sample subjected to uniform tension loading; (b) definition of Euler parameterization; (c) crystallite frame for cubic crystal structure
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Typical distribution of peak stress (R≥2.0 and R<0.0) occurring in grains in the simulated Ni polycrystalline aggregate consisting of 1317 arbitrarily polygon-shaped grains
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Typical distribution of peak energy (ℵ ≥2.0) absorbed in grains in the simulated polycrystalline material samples
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Typical distribution of peak SVI (I ≥2.0) occurring in grains in the simulated polycrystalline material samples
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Fundamental relations of the Relevance Parameter with the Orientation-Geometry Factor ∅ for (a) stress ratio R≥2.0; (b) energy ratio ℵ≥2.0 and (c) SVI ratio J ≥2.0 at applied stress level 1.0 MPa
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Evolution of Variation Intensity Factor for (a) mesoscopic stress, (b) SVI, and (c) amount of absorbed energy over conjoining grains in the simulated polycrystalline material samples

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