DAMASK_EICMD/python
Daniel Otto de Mentock 580e01bd1c fix grid add primitive bug 2022-08-29 11:44:50 +00:00
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damask fix grid add primitive bug 2022-08-29 11:44:50 +00:00
tests fix grid add primitive bug 2022-08-29 11:44:50 +00:00
.coveragerc need to cope with _asciitable.py and _test.py 2021-03-27 12:47:58 +01:00
.gitignore arguments can be int, bool, str 2021-03-31 08:12:57 +02:00
MANIFEST.in damask.Environment reads from os.environ; python module is packaging-ready 2020-01-13 17:28:28 -05:00
README.md symlink was broken 2022-04-24 17:47:26 +02:00
mypy.ini starting to configure mypy 2022-01-29 18:32:04 +01:00
pyproject.toml https://snarky.ca/what-the-heck-is-pyproject-toml 2021-06-22 11:10:03 +02:00
setup.cfg modified setup.cfg to automatically detect main package and subpackages 2022-05-02 18:00:21 +02:00

README.md

DAMASK - The Düsseldorf Advanced Material Simulation Kit

Visit damask.mpie.de for installation and usage instructions

DAMASK_EICMD

This is a DAMASK fork with "Discrete Deformation Twinning Model" implementation based on work done by Dr. Satyapriya Gupta and Dr. Philip Eisenlohr at MSU.

The Discrete Deformation Twinning Model

The aim of this model is to accurately match experimental observations of deformation twinning while remaining computationally efficient compared to physics-based phase field models.

  • We introduce stochasticity for the nucleation and growth events of twinning through random sampling, similar to Monte Carlo Methods.
  • The ease or difficulty of a twinning event is controlled by adjusting the frequency of sampling.
  • At each voxel, the state of twinning is treated as a discrete quantity, unlike the approach based on diffused volume fraction method.
  • The kinetics of twinning occur in the form of a “jump,” rather than following a rate equation as in the “pseudo-slip” approach.
  • The jumped state is evaluated using the correspondence matrix from Niewczas, Acta Materialia, 2010.

Contact Information

Max-Planck-Institut für Eisenforschung GmbH
Max-Planck-Str. 1
40237 Düsseldorf
Germany

damask@mpie.de
https://damask.mpie.de
https://git.damask.mpie.de

( EICMD Team, IIT Dharwad https://sites.google.com/view/eicmd/home )