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Title: Advances in Mesh Generation for Crystal Plasticity Modeling.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the 25th International Meshing Roundtable held September 26-30, 2016 in Washington, DC.
Country of Publication:
United States

Citation Formats

Owen, Steven J. Advances in Mesh Generation for Crystal Plasticity Modeling.. United States: N. p., 2016. Web.
Owen, Steven J. Advances in Mesh Generation for Crystal Plasticity Modeling.. United States.
Owen, Steven J. 2016. "Advances in Mesh Generation for Crystal Plasticity Modeling.". United States. doi:.
title = {Advances in Mesh Generation for Crystal Plasticity Modeling.},
author = {Owen, Steven J.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 9

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  • Abstract not provided.
  • For the past three years Lawrence Livermore National Laboratory has been developing methods for generating 3D finite difference (FD) meshes directly from solid models. During the past year we have changed our solid modeling platform for FD mesh generation from the TIPS-1 solid modeler to the BRL-CAD package. In addition to the basic changes required by the differences between these two modelers and their application interfaces, we have also developed a new strategy for generating the mesh from the sample data. This new approach has dramatically improved the correspondence between generated meshes and the originating geometries. Our new approach alsomore » generates mesh elements which are more appropriate for our FD analysis code, TSAR, which calculates edge-based vector unknowns. In the past, edge (wire) mesh elements were approximated from mesh cells, however, we are now able to generate true edge mesh elements in a direct and straightforward manner. The basis of this new approach is a two step process of sampling and filtering which require that each FD mesh cell be subdivided into eight equal-sized octants. By using octants, the mesh generator can sense the configuration of the geometry contained by a cell and assign only those mesh elements which are appropriate to the given configuration. In addition to the above changes, several new features and capabilities have been added which together form a very flexible tool for generating FD meshes. Our mesh generator is currently undergoing internal testing further development. Nonetheless, it has already been used to generate meshes for several projects at LLNL, and users of these meshes have obtained acceptable results. 4 refs., 9 figs.« less
  • The goal of this work is to formulate a constitutive model for the deformation of metals over a wide range of strain rates. Damage and failure of materials frequently occurs at a variety of deformation rates within the same sample. The present state of the art in single crystal constitutive models relies on thermally-activated models which are believed to become less reliable for problems exceeding strain rates of 10{sup 4} s{sup -1}. This talk presents work in which we extend the applicability of the single crystal model to the strain rate region where dislocation drag is believed to dominate. Themore » elastic model includes effects from volumetric change and pressure sensitive moduli. The plastic model transitions from the low-rate thermally-activated regime to the high-rate drag dominated regime. The direct use of dislocation density as a state parameter gives a measurable physical mechanism to strain hardening. Dislocation densities are separated according to type and given a systematic set of interactions rates adaptable by type. The form of the constitutive model is motivated by previously published dislocation dynamics work which articulated important behaviors unique to high-rate response in fcc systems. The proposed material model incorporates thermal coupling. The hardening model tracks the varying dislocation population with respect to each slip plane and computes the slip resistance based on those values. Comparisons can be made between the responses of single crystals and polycrystals at a variety of strain rates. The material model is fit to copper.« less