Meso-scale FE analyses of textile composite reinforcement deformation based on X-ray computed tomography

Naouar, Naïm; Vidal‐Sallé, Emmanuelle; Schneider, Julien; Maire, Éric; Boisse, Philippe

doi:10.1016/j.compstruct.2014.04.026

Cited by 150 publications

(79 citation statements)

References 62 publications

(80 reference statements)

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“…Microscale approaches such as Durville et al [15] examine individual fibers and can use the material properties of the fiber material along with an appropriate contact behavior. Mesoscale models do not include the effects of fiber interaction however Naouar [13] asserts that based on his X-ray tomography studies, fiber bundles may be treated as a continuous material with transversly isotropic properties. The modeling technique in this paper follows the Naouar approach treating fiber bundles as continuous transversely isotropic material.…”

Section: Materials Propertiesmentioning

confidence: 99%

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Finite Element Modeling of Plain Weave Fabric from an Un-Woven Initial Yarn Configuration

Ferranto

Luo

2015

Strength Mater

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A technique for modeling the tensile behavior and initial shape forming (weaving) process is presented in this paper. This technique uses FEA methods to model straight yarns as they are woven around each other. Tensile forces may be applied in subsequent load steps to predict the mechanics and strength of the fabric. This approach features innovative boundary conditions taking advantage of multiple levels of symmetry, thus allowing the model to be run using standard, unmodified FEA packages. As the model simulates the forming/weaving process it only requires data about the geometry and material properties of the yarns. This allows for fast characterization of hypothetical fabrics with no need for physical experimentation.Introduction. Woven fabrics and flexible composites are an important class of materials with a wide variety of uses. Flexible composites reinforced with woven fabric have many inherently positive characteristics, the potential for high strength, ease of use, and ease of lay-up in the forming process.Clothing, composite reinforcements, flexible composites, cloth structures, ballistic armors, parachutes, sails and numerous other applications make extensive use of woven fabrics. There is currently a large demand for lightweight military armor made of woven fiber flexible material. Here the large strains allow significantly higher energy absorption and dissipation than a stiff composite, as well as allowing for movement and articulation in the case of body armor. Prior to the curing process many rigid composites behave as flexible composite. The uncured matrix material is liquid and does not affect the structural properties, therefore the flexible woven fabric reinforcement will entirely determine the uncured structural properties. Understanding the mechanics of a composite material with an uncured matrix conforming to a tool shape could improve the lay-up process currently used within industry.Many biological structures, such as skeletal muscles consisting of striated fiber bundles suspended in an extracellular matrix, may be thought of as wavy fiber flexible composites and modeled accordingly.Modeling the mechanical behavior of this class of material presents a significant engineering challenge due to the geometric complexity of yarns undulating around each other. The yarns have a complex shape and may interact with yarns oriented in other directions. Mechanical properties may be both nonlinear and completely different under various loading conditions (uniaxial tension, biaxial tension, shear, bending, etc.).There are a number of different approaches to modeling the mechanics of woven materials. Modeling approaches are generally classified into three broad categories. Macroscale models treat the fabric as a continuum. Mesoscale models look at the effects of the yarns that are woven around each other, treating the yarns as a continuous material. Microscale models include the effects of the fibers that when bundled together comprise most yarns.Macroscale analytical models such as the model developed ...

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Section: Materials Propertiesmentioning

confidence: 99%

“…Naouar [13] takes a similar approach using X-ray tomography. This approach gives good results but requires photomicrography and analysis.…”

mentioning

confidence: 99%

Finite Element Modeling of Plain Weave Fabric from an Un-Woven Initial Yarn Configuration

Ferranto

Luo

2015

Strength Mater

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“…Analysing the image anisotropy it was shown that automated image analysis is feasible. 20,21 These test methods are, however, restricted in size and only small samples can be analysed which makes them unsuitable to assess the variability at the component scale.…”

Section: Introductionmentioning

confidence: 99%

Quantification of mesoscale variability and geometrical reconstruction of a textile

Gommer

Brown

Brooks

2016

Journal of Composite Materials

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Automated image analysis of textile surfaces allowed determination and quantification of intrinsic yarn path variabilities in a 2/2 twill weave during the lay-up process. The yarn paths were described in terms of waves and it was found that the frequencies are similar in warp and weft directions and hardly affected by introduced yarn path deformations. The most significant source of fabric variability was introduced during handling before cutting. These resulting systematic deformations will need to be considered when designing or analysing a composite component. An automated method for three dimensional reconstruction of the analysed lay-up was implemented in TexGen which will allow virtual testing of components in the future.

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“…In the case of carbon fibre reinforced composites, the resulting volume images do not exhibit good contrast due to the low x-ray absorption of the fibres [17] and image analysis is therefore often limited to manual identification of features [2,18]. Automated analysis methods using anisotropy filters can overcome this problem [19,20].…”

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confidence: 99%

Stochastic reconstruction of filament paths in fibre bundles based on two-dimensional input data

Gommer

Wedgwood

Brown

2015

Composites Part A: Applied Science and Manufacturing

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Abstract:Conventional optical microscopy is an inexpensive technique to analyse fibre bundle micro-structures. Compared to micro-computed tomography, the resolution is higher and larger samples sizes can be analysed. This provides, for example, detailed information of filament spacing which will affect subsequent properties. This paper proposes a probabilistic method to reconstruct paths of individual filaments from a series of two-dimensional micrographs. This allows three-dimensional filament arrangements to be reconstructed and the effects of local arrangements on properties to be quantified. For example, for the small sample analysed in this work, a 15% difference in strength values was found.

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Meso-scale FE analyses of textile composite reinforcement deformation based on X-ray computed tomography

Cited by 150 publications

References 62 publications

Finite Element Modeling of Plain Weave Fabric from an Un-Woven Initial Yarn Configuration

Finite Element Modeling of Plain Weave Fabric from an Un-Woven Initial Yarn Configuration

Quantification of mesoscale variability and geometrical reconstruction of a textile

Stochastic reconstruction of filament paths in fibre bundles based on two-dimensional input data

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