Establish Foam Morphology¶
Group (Subgroup)¶
Synthetic Builder Filters (Packing)
Description¶
This filter functions similar to Pack Primary Phases at the onset. The working Phase Type for this filter is the Precipitate Phase. The Precipitate Phase represents the pores. The pores are packed on to the grid and grown until they impinge. Then, designated voxels on and/or near triple junctions and quadruple points, defined my the Minumum Strut Thicknes, Strut Thickness Variability Factor, and Strut Cross Section Shape Factor, are flipped back to BadData, i.e. FeatureIds = 0 and the Mask is defined as true at these voxels, thus forming the strut network. This filter works in tandem with Pack Primary Phases; if the user wishes to pack a feature population within the Mask. The Mask represents the voxels where the struts exist. For an extended treatment of the algorithm please see [1]
Parameters¶
| Name | Type | Description |
|---|---|---|
| Periodic Boundaries | bool | Whether to wrap Features to create periodic boundary conditions |
| Write Goal Attributes | bool | Whether the user wants the goal attributes of the generated Features to be written to a file |
| Goal Attributes CSV File | File Path | Path to the file that will hold the goal attributes of the generated Features (only necessary if Write Goal Attributes is true) |
| Already Have Features | choice | Whether the user already has the final Cell definition of the Features and can skip the Feature generation and iterative placement process |
| Minimum Strut Thickness | int | Minimum strut thickness (in user defined scaled units, e.g. microns). No strut will have a ciricular cross-sectional diameter less than this value. |
| Strut Thickness Variability Factor | float | This quantity is the triple junction Euclidean distance multiplied by the quadruple point Euclidean distance (in user defined scaled units, e.g. microns^2). This parameter will make the struts thicker towards the node with increasing values. |
| Strut Cross Section Shape Factor | float | This quantity is the triple junction Euclidean distance multiplied by the boundary Euclidean distance (in user defined scaled units, e.g. microns^2). This parameter will make the strut cross section more "triangular" with decreasing values. |
Required Geometry¶
Image
Required Objects¶
| Kind | Default Name | Type | Component Dimensions | Description |
|---|---|---|---|---|
| Ensemble Attribute Array | Statistics | Statistics Object | (1) | Statistics objects (depending on Phase Type) that store fits to descriptors such as size distribution, shape distribution, neighbor distribution, ODF, MDF, etc. |
| Ensemble Attribute Array | PhaseTypes | uint32_t | (1) | Enumeration specifying the phase type of each Ensemble |
| Ensemble Attribute Array | PhaseNames | uint32_t | (1) | Enumeration specifying the phase type of each Ensemble |
| Ensemble Attribute Array | ShapeTypes | uint32_t | (1) | Enumeration specifying the type of shape to place for each Ensemble |
| Cell Attribute Array | FeatureIds | int32_t | (1) | Specifies to which Feature each Cell belongs. This is only required if the Already Have Features choice is "Yes". |
Created Objects¶
| Kind | Default Name | Type | Component Dimensions | Description |
|---|---|---|---|---|
| Cell Attribute Array | FeatureIds | int32_t | (1) | Specifies to which Feature each Cell belongs. This is only created if the Already Have Features choice is "No". |
| Cell Attribute Array | Mask | bool | (1) | Specifies if GoodData (true) or BadData (false) is on each Cell |
| Cell Attribute Array | Phases | int32_t | (1) | Specifies to which Ensemble each Cell belongs |
| Attribute Matrix | CellEnsembleData | Cell Ensemble | N/A | Ensemble Attribute Matrix for the created phases |
| Ensemble Attribute Array | NumFeatures | int32_t | (1) | Specifies the number of Features in each Ensemble |
Published Paper¶
[1] *Tucker, J.C. & Spear, A.D. Integr Mater Manuf Innov (2019) 8: 247. https://doi.org/10.1007/s40192-019-00136-5
*Corresponding author.
License & Copyright¶
Please see the description file distributed with this Plugin
This material is based upon work supported by the National Science Foundation under Grant No. 1629660. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.**