223031012
/
DAMASK_EICMD
mirror of https://github.com/achalhp/DAMASK_EICMD.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
DAMASK_EICMD/python
History
Daniel Otto de Mentock 580e01bd1c fix grid add primitive bug 2022-08-29 11:44:50 +00:00
..
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

  • 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 )