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Capabilities
Sunil Anandatheertha edited this page Jul 31, 2021
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- Study grain growth kinetics
- Study the effect of particle distributions
- Study the effect of particle morphologies
- Study the effect of temperature distribution
- Study the effect of sampling anisotropies
- Study the effect of boundary conditions (being worked on)
- Study the effect of domain shape (currently rectangle and square only. Others are being worked on)
- Cryst. miso. based GS evolution (being worked on)
- Growth of equivalent Voronoi tessellations (being worked on)
- Ising type GS
- equi-axed GS
- extruded type GS
- rolled type GS
- gradient GS
- grains with smooth GB
- grains with tortuous GB
- Independent Voronoi tessellated (VT) GS: Currently, only 2D is available. Three types of lattices are possible, and these are random, rectangular and triangular. Together, they allow Voronoi tessellated random, rectangular and hexagonal grains respectively. Number of grains, size of grains, and aspect ratio of grains can be generated. Hexagonal grains with zigzag or armchair chirality may be generated. Rectangular grains can be made square grains as well, as the latter is subset of former. Long edge of a rectangular grain can be made to align either with x or y. These changes can be introduced by giving different values to a set of defining parameters for each case. A gradient may also be introduced if desired in each of these cases. Pixellated versions of a Voronoi tessellation may also be generated. Values of these parameters to obtain the grain structures have been detailed HERE.
- MC derived equivalent VT GS
- All grain structure analysis capabilities of mtex could be expolited.
- Rapid estimation of intercept grain sizes
- Frontal algorithm based grain area identification and grain structure segmentation into grains
- Orientation based grain size statistics
- Grain area statistics of Voronoi tessellation
- .CTF format: Up and running for 2 phases.
- .JSON format: Being worked on.
- .INP format: Voronoi tessellation based GS: PXO-matlab to PXO-python to ABAQUS to .INP file
- can use model texture
- can use experimentally derived texture
- can use EBSD orientation data export
- can sample orientations from CTF file from EBSD data export (being worked on)
- complex binary space partition which evolves tempoally in state-space
- Compelx space partitions having centroidal and boundary mobility.
- Monte-Carlo derived grain structure: pixellated grains with/without boundaries
- Monte-Carlo derived grain structure: brain boundaries with/without grain interior visualization
- Monte-Carlo derived grain structure: particles
- Monte-Carlo derived grain structure: grains as patches
- Voronoi-tessellation grain structure: grains as patches with/without boundaries
- All visualization within mtex after PXO data is imported in mtex
- Histogram of size parameters - from both, PXO and mtex based analysis data
- Voronoi tessellated grains coloured based on grain area
- Codes and documentations by Sunil Anandatheertha, PhD
General info
- Capabilities
- Image gallery
- Cited in
- Requirements
- Installation instructions
- Using PXO
- Licensing
- Sponsorship appeal
- Contributor: SA
- Acknowledgements
Space partitioning users
Grain structure users
- Start here
- Image gallery
- Video gallery
- Limitations
- Performance
- Validation
- Tutorials & test cases
- Voronoi Tessellation
- Best practices
- GUI
- PXO-mtex
- PXO-mtex-mtex2gmsh
Theory reference
- Ising model
- Pott's model
- Boundary conditions
- Kernel functions
- Material defs. and params.
- Space partitioning
REFERENCES
Listings