Efficient rolling texture predictions and texture-sensitive properties of α-uranium foils [electronic resource].

Published:: Washington, D.C. : United States. Dept. of Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:: pages 234-243 : digital, PDF file
Additional Creators:: Oak Ridge Y-12 Plant, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

Here, finite element (FE) analysis was used to simulate the strain history of an α-uranium foil during cold-rolling, with the sheet modeled as an isotropic elastoplastic continuum. The resulting strain history was then used as input for a viscoplastic self-consistent (VPSC) polycrystal plasticity model to simulate crystallographic texture evolution. Mid-plane textures predicted via the combined FE→VPSC approach show alignment of the (010) poles along the rolling direction (RD), and the (001) poles along the normal direction (ND) with a symmetric splitting along RD. The surface texture is similar to that of the mid-plane, but with a shear-induced asymmetry that favors one of the RD split features of the (001) pole figure. Both the mid-plane and surface textures predicted by the FE→VPSC approach agree with published experimental results for cold-rolled α-uranium plates, as well as predictions made by a more computationally intensive full-field crystal plasticity based finite element model. α-uranium foils produced by cold-rolling must typically undergo a final recrystallization anneal to restore ductility prior to their final application, resulting in significant texture evolution from the cold-rolled plate deformation texture. Using the texture measured from a foil in the final recrystallized state, coefficients of the thermal expansion and elastic stiffness tensors were calculated using a thermo-elastic self-consistent model, and the anisotropic yield loci and flow curves along the RD, TD, and ND were predicted using the VPSC code.

Report Numbers:

E 1.99:ms/gar--170420
ms/gar--170420

Subject(s):

Materials Science

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Note:

Published through SciTech Connect.
01/01/2017.
"ms/gar--170420"
Journal of Nuclear Materials 495 ISSN 0022-3115 AM
Matthew A. Steiner; Robert W. Klein; Christopher A. Calhoun; Marko Knezevic; Elena Garlea; Sean R. Agnew.

Funding Information:

NA0001942

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