The effect of meso-level uncertainties on the mechanical response of woven fabric composites under axial loading

Komeili, Mojtaba; Milani, Abbas S.

doi:10.1016/j.compstruc.2011.09.001

Cited by 53 publications

(24 citation statements)

References 33 publications

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“…Three-dimensional (3D) woven composites have shown great potential in aerospace and automotive applications due to near net shape, high structural integrity, and low manufacturing costs [1][2][3]. Compared with two-dimensional (2D) fiber reinforcements, 3D woven fabrics consist of layers of warp and weft tows interlaced in the through-thickness direction by weaver tows, which are called binding warp tows.…”

Section: Introductionmentioning

confidence: 99%

Development and Multiscale Characterization of 3D Warp Interlock Flax Fabrics with Different Woven Architectures for Composite Applications

Lansiaux

Soulat

Boussu

et al. 2020

Fibers

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Multiscale characterization of the textile preform made of natural fibers is an indispensable way to understand and assess the mechanical properties and behavior of composite. In this study, a multiscale experimental characterization is performed on three-dimensional (3D) warp interlock woven fabrics made of flax fiber on the fiber (micro), roving (meso), and fabric (macro) scales. The mechanical tensile properties of the flax fiber were determined by using the impregnated fiber bundle test. The effect of the twist was considered in the back-calculation of the fiber stiffness to reveal the calculation limits of the rule of mixture. Tensile tests on dry rovings were carried out while considering different twist levels to determine the optimal amount of twist required to weave the flax roving into a 3D warp interlock. Finally, at fabric-scale, six different 3D warp interlock architectures were woven to understand the role of the architecture of binding rovings on the mechanical properties of the dry 3D fabric. The results reveal the importance of considering the properties of the fiber and roving at these scales to determine the more adequate raw material for weaving. Further, the characterization of the 3D woven structures shows the preponderant role of the binding roving on their structural and mechanical properties. Fibers 2020, 8, 15 2 of 14composites. These works showed that the architecture of the reinforcement has a preponderant role on the mechanical properties of the composite.Generally, 3D architectures can be obtained by combining multi-layers of stacked 2D fabric with a through-the-thickness fiber reinforcement, introduced using stitching, z-pining, or tufting technologies [10][11][12]. Another technology is the 3D warp interlock weaving, in which multi-layers of in-plane yarns are bound together by a group of binding warp yarns according to a specific architecture (light blue in Figure 1) [13]. Consequently, in 3D warp interlock weaving, a thick structure is formed without degradation to the in-plane fibers that results from needle insertion through-the-thickness in the stitching and tufting techniques. Moreover, the fiber reinforcement through-the-thickness direction is inserted during the weaving and no further steps are required.ibers 2020, 8,15 2 o

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Section: Introductionmentioning

confidence: 99%

Development and Multiscale Characterization of 3D Warp Interlock Flax Fabrics with Different Woven Architectures for Composite Applications

Lansiaux

Soulat

Boussu

et al. 2020

Fibers

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“…In addition, the integration of meso-level uncertainty sources in woven fabrics [8,11] into analytical models can be worthwhile.…”

Section: Discussionmentioning

confidence: 99%

An analytical approach to the deflection analysis of woven preforms and composites under tensile loading using the Winkler theory of curved beams

Derakhshan

Komeili

Milani

2015

Computational Materials Science

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“…The objective in this study is to reduce the epistemic uncertainty in the geometrical parameter distributions and the variation in the mechanical properties of textile composites. Uncertainty quantification in composite materials is attaining more attention lately [5,6]. Introducing variability at different scales in computational models is found to be essential or even critical.…”

Section: Introductionmentioning

confidence: 99%

Stochastic multi-scale modelling of textile composites based on internal geometry variability

Vanaerschot

Cox

Lomov

et al. 2013

Computers & Structures

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a b s t r a c tA stochastic model of an experimentally measured unit cell structure is computed using the multi-scale textile software WiseTex. The statistical characteristics of a sample, derived in prior work, are used to calibrate the recently proposed Markov Chain algorithm for textile fabrics. The generated variable tow reinforcements are transformed in the WiseTex format that is compatible with tools for micromechanical analysis and permeability simulation.The application is a seven ply polymer textile composite, with each ply consisting of a twill 2/2 woven carbon fabric in an epoxy matrix. The developed model possesses random tow centroid paths with nominal cross-sectional properties.

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The effect of meso-level uncertainties on the mechanical response of woven fabric composites under axial loading

Cited by 53 publications

References 33 publications

Development and Multiscale Characterization of 3D Warp Interlock Flax Fabrics with Different Woven Architectures for Composite Applications

Development and Multiscale Characterization of 3D Warp Interlock Flax Fabrics with Different Woven Architectures for Composite Applications

An analytical approach to the deflection analysis of woven preforms and composites under tensile loading using the Winkler theory of curved beams

Stochastic multi-scale modelling of textile composites based on internal geometry variability

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