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OpenFiberSeg: Open-source segmentation of individual fibers and porosity in tomographic scans of additively manufactured short fiber reinforced composites

Facundo Sosa-Rey, Yahya Abderrafai, Audrey Diouf Lewis, Daniel Therriault, Nicola Piccirelli, Martin Lévesque

Article (2022)

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Abstract

From a modelling standpoint, the morphology of additively manufactured (AM) high-performanceshort fiber reinforced polymer (SFRP) are essential to characterize, yet this task poses greatchallenges. The method presented extracts individual fibers from tomographic scans andproduces a segmentation that is accurate across a large range of fiber filling ratios (5-40wt.%), needs minimal human input and is scalable to full-sized datasets containing ~105individual fibers. In addition, this tool allows the analysis of the correlated length and orientationdistribution of fibers, and the quantification of shear-induced alignment and fiber breakage.The method is validated by successfully reproducing the segmentation of (continuous) fiberreinforced composites published in 2 separate studies and by predicting the fiber volume fractionand material density directly from the tomographic data of SFRPs. The output can serve as a basisfor constituent-level mechanical modelling, and to gain insight into the relationship betweenprocessing parameters, morphology and mechanical behavior of SFRP. The full source code andimaging data are attached to this publication.

Uncontrolled Keywords

Polymer-matrix composites (PMCs); Porosity/Voids; Short-fibre composites; X-ray computed tomography; 3-D Printing

Subjects: 1700 Design and manufacturing > 1702 Advanced manufacturing
2000 Materials science and technology > 2001 Materials structure, properties and testing
2000 Materials science and technology > 2007 Composites
2100 Mechanical engineering > 2100 Mechanical engineering
Department: Department of Mechanical Engineering
Research Center: LM2 - Laboratory for Multi-scale Mechanics
Funders: Safran S.A. (FACMO Research Chair), CRSNG/NSERC
Grant number: CRDPJ514761
PolyPublie URL: https://publications.polymtl.ca/10435/
Journal Title: Composites Science and Technology (vol. 226)
Publisher: Elsevier
DOI: 10.1016/j.compscitech.2022.109497
Official URL: https://doi.org/10.1016/j.compscitech.2022.109497
Date Deposited: 23 Aug 2022 10:06
Last Modified: 21 Nov 2022 01:35
Cite in APA 7: Sosa-Rey, F., Abderrafai, Y., Diouf Lewis, A., Therriault, D., Piccirelli, N., & Lévesque, M. (2022). OpenFiberSeg: Open-source segmentation of individual fibers and porosity in tomographic scans of additively manufactured short fiber reinforced composites. Composites Science and Technology, 226, 109497 (13 pages). https://doi.org/10.1016/j.compscitech.2022.109497

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