A Multi-Scale Simulation Framework for Yield Surface Parameterization with Texture Variability for Part Scale Modeling
ORAL
Abstract
Driven by a need to provide more predictive part-scale simulations, modelers often require additional experimental data, re-parameterized models, better models, or an amalgamation of all three. An additional requirement to the capture dynamical responses of the material can further complicates things and create a costly and time-consuming project. Utilizing multi-scale simulation methods, one can expediate aspects of this by integrating lower length scale simulations with existing experimental data to effectively parameterize macroscale models. This presentation will go over a multi-scale simulation platform that leverages crystal plasticity simulations alongside experimental data to parameterize the Barlat Yld2004-18p yield surface model for part-scale simulations. We will then showcase a method to introduce crystallographic texture variability at the part-scale using this yield surface model. Finally, we will conclude with a direct comparison between the J2 yield surface and the anisotropic yield surface for various part geometries undergoing various dynamical loading conditions.
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Presenters
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Robert Carson
Lawrence Livermore National Laboratory
Authors
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Robert Carson
Lawrence Livermore National Laboratory
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Matt Nelms
Lawrence Livermore National Laboratory
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Marissa Linne
Lawrence Livermore National Laboratory
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Ryan A Austin
Lawrence Livermore National Laboratory
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Nathan R Barton
Lawrence Livermore National Laboratory