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Modeling as-manufactured fiber-reinforced microstructures based on X-ray microcomputed tomography

Authors :
John Fisher
Chris Dahlkamp
Michael W. Czabaj
Peter J. Creveling
Source :
Composites Science and Technology. 214:109004
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

A new approach is presented to convert X-ray microcomputed tomography (μCT) image data of as-manufactured fiber-reinforced microstructures into high-fidelity finite element (FE) meshes. The mesh-generation approach leverages existing image segmentation and meshing tools to generate FE meshes of a woven-fabric and fiber-reinforced composite (FRCs), where constituents in each microstructure are represented explicitly. Segmentation of fibers from X-ray μCT images was performed using a template-matching/Kalman-filter estimation algorithm, and flaws were segmented using Trainable Weka Segmentation. Segmentation data were converted into reduced-order images, which were subsequently imported into Simpleware™ for mesh generation. To demonstrate advancements of the mesh-generation process, biaxial and uniaxial FE simulations were performed in Abaqus® for the woven- and FRC microstructures, respectively. Results reveal that the mesh-generation approach allows for modeling of distinct interactions between constituents, including contact/friction between fibers and interactions at the fiber-matrix interfaces. Results from this work demonstrate that X-ray μCT images of complex fiber-reinforced microstructures can be converted into high-fidelity meshes, but the high number of elements required for discretization necessitates additional work to improving mesh efficiency.

Details

ISSN :
02663538
Volume :
214
Database :
OpenAIRE
Journal :
Composites Science and Technology
Accession number :
edsair.doi...........c6e670e11d4944350b9c07f6e9ba9e62
Full Text :
https://doi.org/10.1016/j.compscitech.2021.109004