Insegt Fiber – A powerful tool for understanding fiber-reinforced composites
Fiber trajectories and their orientations are used for understanding the damage mechanisms and strength properties of real composites, as well as the effect of the manufacturing process over the designed architectures. Insegt Fiber can accurately measure the individual center lines of unidirectional fibers that are densely packed inside a composite. Thanks to Insegt, the method requires minimal input from the user. For its robustness to image quality, the tool is applicable to i) fast scans acquired while loading a material in situ and ii) larger regions of interest (e.g. complete bundles) acquired at lab sources in reduced times. See our study on robustness of the tool across image resolutions, and the investigation of fiber reorientation under compression loading and the evolution of fiber deflection leading to kink-band formation, where we also consider local changes in orientation along the fiber direction.
Whether you need a tool for understanding damage mechanisms, or a fast way of characterizing your fiber microstructure, download Insegt Fiber and give it a try!
For support and collaborations, contact: Monica Jane Emerson (firstname.lastname@example.org).
Download Code and manual
Download 2D/3D data (different modalities and resolutions) and 4D data (sequence of 3D scans under compression loading).
We kindly ask you to cite our three publications on the tools and methodology behind Insegt Fiber:
Individual Fiber Segmentation
M. J. Emerson, K. M. Jespersen, A. B. Dahl, K. Conradsen and L. P. Mikkelsen, Individual fibre segmentation from 3D X-ray computed tomography for characterising the fibre orientation in unidirectional composite materials, Composites Part A: Applied Science and Manufacturing, Vol. 97, pp. 83-92, 2017.
Interactive Segmentation (The Insegt tool)
V. A. Dahl, M. J. Emerson, C. H. Trinderup, A. B. Dahl, Content-based propagation of user markings for interactive segmentation of patterned images, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 994-995, 2020.
The Insegt Fiber tool
M. J. Emerson, A. B. Dahl, K. Conradsen and V. A. Dahl, Insegt Fibre: a user friendly software for individual fibre segmentation, Proceedings of the 22nd International Conference Composite Materials, Melbourne, 2019.