Title: Marko Knezevic
1Viscoplastic crystal plasticity and application
to yield surfaces delineation of FCC polycrystals
April 21, 2008
DEPARTMENT OF MATERIALS SCIENCE AND
ENGINEERING DREXEL UNIVERSITY
http//www.materials.drexel.edu/mmg
2Description of the Microstructure
Crystallographic texture has been selected as the
prime descriptor of interest in the
microstructure in predicting anisotropic yield
surfaces.
The distribution of the orientations in a
polycrystalline aggregate is referred to as
crystallographic texture.
Texture is developed as a consequence of
processing
- Solidification
- Metal Forming
- Heat Treatment
- Many properties demonstrate dependence on
crystallographic orientation - i.e. Elasticity, Plasticity, Magnetism, etc.
-
- Tools exist for identification of the
crystallographic orientations (texture) - i.e. EBSD, X-Ray, and polarized light.
3Outline
- Summary of Taylor type viscoplastic crystal
plasticity - Spectral crystal plasticity framework in terms
of Discrete Fourier Transforms - Efficient delineation of yield surfaces
4Viscoplastic Crystal Plasticity - FCC metals
Crystallographic slip
FCC Crystals
Potential Slip Systems
1 - 12
Applied Stretching Tensor
Shearing Rate
Rate sensitivity parameter
Resolved Shear Stress
Output
5General Deformation Path Description
Same deformation gradient in all of the
constituent crystals
Sample frame
Principal frame of D
Rotation
- Isochoric - Unit
Unique representations of all possible stretching
tensors q
6Database Approach to Crystal Plasticity
Spectral representations
r and q enumerate the grid points in the
orientation space and the strain space
7Retaining only the dominant transforms
Full Euler Space 360x360x360
Two orders of magnitude faster than conventional
calculations!
Restored using 500 of transforms
Taylor code values
8Efficient Computation of Yield surfaces
Principle Frame Space
Stretching Tensor Space
Polycrystalline yield surfaces based on a yield
surface of one single crystal e.g ( 0, 0, 0)
9Summary
- Viscoplastic crystal plasticity solutions have
been successfully captured in spectral linkages
cast using Discrete Fourier Transforms (DFT). - Implemented database approaches provided a
remarkable reduction in the computational time
involved in the delineation of yield surfaces.
10