Prediction of linear and non-linear behavior of 3D woven composite using mesoscopic voxel models reconstructed from X-ray micro-tomography

Liu, Yang; Straumit, Ilya; Vasiukov, Dmytro; Lomov, Stepan Vladimirovitch; Panier, S.

doi:10.1016/j.compstruct.2017.07.066

Cited by 99 publications

(55 citation statements)

References 42 publications

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“…As indicated, the overall thickness of the specimen decreases by 0.64 mm from the lowest fiber volume content of 47.4% to the highest one of 54.4%. These geometric models are different from the ones reconstructed in other studies ( [45][46][47][48] ), because all the fiber tows of the fibrous reinforcement are identified and individually labeled. Thus, the geometric features, orientations, and mechanical properties of fiber tows can be taken into account in the analysis.…”

Section: X-ray Microtomographymentioning

confidence: 81%

“…The structured voxel file created allows a thorough analysis of the geometric features of the fiber tows contained in the specimen. • Material variability: Lower resolution micro-CT scans enable to model larger specimens that are more representative of material variability than single unit cells like in most previous investigations ( [32,[44][45][46] ). • Numerical simulations: Because the structure of the material has been identified and all the tows numbered, it is possible to create finite element meshes of the fibers and/or of the mesopores between the tows.…”

Section: Geometric Models Created From Microtomographic Scansmentioning

confidence: 99%

“…This is possible, thanks to microtomographic observations of the material structure and to the micro‐CT AGM methodology devised to construct a detailed and structured geometric model of textile architecture. The structured voxel file created allows a thorough analysis of the geometric features of the fiber tows contained in the specimen. Material variability: Lower resolution micro‐CT scans enable to model larger specimens that are more representative of material variability than single unit cells like in most previous investigations (). Numerical simulations: Because the structure of the material has been identified and all the tows numbered, it is possible to create finite element meshes of the fibers and/or of the mesopores between the tows. Hence, numerical simulations can be carried out to predict the mechanical or flow behavior of engineering textiles, thus establishing a connection between material properties and the geometric features of fibrous reinforcements.…”

Section: Geometric Models Created From Microtomographic Scansmentioning

confidence: 99%

See 2 more Smart Citations

Numerical and experimental investigation of saturated transverse permeability of 2D woven glass fabrics based on material twins

Huang

Causse

et al. 2019

Polymer Composites

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The transverse permeability of fibrous reinforcement is one of the critical parameters that govern fabrication efficiency and production quality in several liquid composite molding process variants devised to achieve transverse impregnation of fibrous reinforcements. It is difficult to precisely measure and predict the transverse permeability, because it is simultaneously affected by diverse factors, for example, the geometric features of the test mold, nesting between fabric layers, and flow‐induced compaction of the fiber bed. In this article, the saturated transverse permeability of 2D woven glass fabrics is investigated using information provided by mesostructural geometric models reproducing the real textile architecture. These models are created by micro‐CT aided geometric modeling, a recently proposed technique to analyze three‐dimensional images obtained by X‐ray microtomography. They are called “material twins” because they reproduce with assessed accuracy the geometrical configuration of the textile preform, are representative of material variability, and allow performing numerical simulations of flow or mechanical properties. Computer simulations of steady state transverse flows in material twins were carried out to evaluate the transverse permeability and compared to experiments. Issues concerning material variability due to nesting and the accuracy of transverse permeability measurements were considered and discussed. A good agreement was obtained between numerical and experimental values of transverse permeability. Both approaches show a significant influence of the number of layers considered, which can be explained by nesting between adjacent plies. Numerical simulations also illustrate how nesting significantly affects material variability.

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Section: X-ray Microtomographymentioning

confidence: 81%

Section: Geometric Models Created From Microtomographic Scansmentioning

confidence: 99%

Section: Geometric Models Created From Microtomographic Scansmentioning

confidence: 99%

See 1 more Smart Citation

Numerical and experimental investigation of saturated transverse permeability of 2D woven glass fabrics based on material twins

Huang

Causse

et al. 2019

Polymer Composites

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“…Transverse compaction can further cause the sinking of Z-crown into the surface weft yarn [24,25] and the flattening and widening of the warp and weft yarns. Asymmetrical shapes of the binder yarn [26], crimping of the through-thickness segment of the binder yarn [27,28] and fiber-breakage during 3D weaving [29] can also arise.…”

mentioning

confidence: 99%

“…Image-based approaches were adopted in [25,26] to generate realistic geometrical models of 3D woven composites. To this end, the images of micro-CT scans were transformed into a voxel-based mesh representation [26] or into a tetrahedral mesh representation [25].…”

mentioning

confidence: 99%

Automated generation of 3D orthogonal woven composites RVEs including yarn cross-section variations

Pierreux

Hemelrijck

Massart

2019

Composites Science and Technology

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This contribution presents an approach to generate unit-cell models of 3D orthogonal woven non-crimp fabric composites with the ability to incorporate cross-section variations in the weft and binder yarns. The approach starts from an initial loose-state configuration of the fiber-bundles, in which each fiberbundle is represented by a single discretised line. The discretised lines are shaped in a step-wise generation process by geometrical operations. During the generation procedure transformed into a boundary-or inner-line configuration, respectively, to account for their cross-section variation in subsequent steps.The fiber volume fraction and fiber direction to be used subsequently in simulations are modelled on cross-sections in a post-processing step. The shape of the surface weft yarn cross-section and binder yarn cross-sections and centerline for different binder content, diameter and tensioning can be automatically accounted for. The geometrical models are then transformed into finite element models by an automated meshing procedure to investigate how the binder yarn, and cross-section variations in the surface weft and binder yarns alter the stiffness and damage initiation levels.

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Bending fatigue performance of three‐dimensional woven composites—A review

Zhao,

Chen,

Gao

et al. 2024

Polymer Composites

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Three‐dimensional woven composites (3DWCs) are gradually used in marine, transportation, military, and other applications owing to their high interlayer properties, load‐bearing capacity, and good near‐net‐shape forming abilities. 3DWCs are often subjected to bending fatigue loads, which negatively affect the lives of structural parts. In this review, typical types of preform structures and their evolution characteristics are described, and the micro‐modeling methods for 3DWCs are discussed. The effect of the warp yarn paths on the bending properties and the preform structure on the bending fatigue properties of 3DWCs are summarized, and the application and current status of microstructural models in the study of bending fatigue properties are summarized. In addition, the bending fatigue mechanical properties, damage evolution process, and modes of failure in 3DWCs are discussed. The study status and development of the fatigue life models of the laminated composites and 3DWCs are summarized, and future research work is prospected. This review may be beneficial to preform structural design and contribute to the study bending fatigue properties of 3DWCs.Highlights The microstructural modeling methods for 3DWCs. Types and variation patterns of 3D woven preform structures are described. Effects of the structure on the bending performance are discussed. Bending fatigue properties of 3DWCs are summarized. The development trends of predicting the lifespans of composites.

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Prediction of linear and non-linear behavior of 3D woven composite using mesoscopic voxel models reconstructed from X-ray micro-tomography

Cited by 99 publications

References 42 publications

Numerical and experimental investigation of saturated transverse permeability of 2D woven glass fabrics based on material twins

Numerical and experimental investigation of saturated transverse permeability of 2D woven glass fabrics based on material twins

Automated generation of 3D orthogonal woven composites RVEs including yarn cross-section variations

Bending fatigue performance of three‐dimensional woven composites—A review

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