APS Logo

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.

Presenters

  • Robert Carson

    Lawrence Livermore National Laboratory

Authors

  • Robert Carson

    Lawrence Livermore National Laboratory

  • Matt Nelms

    Lawrence Livermore National Laboratory

  • Marissa Linne

    Lawrence Livermore National Laboratory

  • Ryan A Austin

    Lawrence Livermore National Laboratory

  • Nathan R Barton

    Lawrence Livermore National Laboratory