FiberFind is the next step towards precise object recognition in micro-CT images. It combines the power of FiberGuess' fast parameter prediction with the unsurpassed precision and speed of neural networks for accurate fiber and binder detection.
The FiberFind module description is currently only based on the functions of FiberGuess.
A current description will follow shortly.
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From a segmented micro-CT image of a fibrous material, the FiberFind module carries out a complete analysis of fiber properties:
- Diameter distribution
- Orientation distribution
- Curvature distribution
Knowing these fibrous material properties is essential to characterize and compare materials and is also a central starting point for the digital modeling of replica materials using the FiberGeo module.
On the digital models, material parameters (e.g. fiber diameters) can be varied to study the expected impact on the material behavior by using one of the property prediction modules (-Dict) in GeoDict. The results of these studies are used to guide the optimization of the material and help in reducing the number of physical experiments.
Besides, the fiber orientation can be computed for each material voxel, producing an orientation field. This makes possible to simulate materials with transverse isotropic properties in studies with the ElastoDict (mechanics) and ConductoDict (thermal conductivity) module.
The fiber diameter estimation computes the average fiber diameter, as well as its standard deviation which can be sufficient for unimodal distributions. More detailed results are provided in
the form of a diameter histogram plotting the fiber diameter vs. the volume fraction of fibers of that diameter. Fiber diameter distributions (discrete or continuous) can then be entered in
the FiberGeo module to reproduce structure models with matching distributions.
The orientation distribution computes an orientation tensor characterizing the orientation of fibers. This analysis can be performed globally, over the whole sample, or for individual sub-regions in the model. The latter functionality can be used e.g. to analyze each layer of a layered material separately or to study heterogeneity in fiber orientation across the sample volume. As explained before for fiber diameter, the orientation tensor can be entered directly into the FiberGeo module to reproduce structures with those orientation distributions. Orientations can also be computed per voxel and stored as a 3D orientation field. This field can be loaded into the ElastoDict or ConductoDict module to consider transverse isotropic material behavior (different material constants along vs. across the fiber).
The curvature estimation produces a histogram of fiber curvatures by extracting individual fibers of the micro-CT image.
3D-model of segmented ÁCT scan of PA66 GF50 (polyamide with 50% glass fibers)
Fiber orientation analysis of the 3D model
Fiber diameter distribution of the 3D model
- Modelling: Together with the FiberGeo module, in material modelling, to create structure models matching a physical sample.
- Material optimization: Reduce experimental costs by studying the predicted effects of a change of material properties before manufacturing material prototypes.
- Material quality control: For the study of heterogeneities and deviations in the diameter, orientation, and curvature of fibers.
- The GeoDict Base package is needed for basic functionality.
- The ImportGeo-VOL module is needed to import and segment micro-CT images and create the structure models for analysis.
- The FiberGeo module can be used to model structures that (statistically) match the analyzed micro-CT images.
- FiberFind might be needed by other modules, such as ElastoDict and ConductoDict which can use the fiber orientation field computed by FiberFind to enable simulation of transverse isotropic materials.