Influence of waviness and curliness of fibres on mechanical properties of composites

Matveeva, Anna; Pyrlin, Sergey; Ramos, Marta M. D.; Böhm, H.J.; Hattum, F. W. J. van

doi:10.1016/j.commatsci.2014.01.061

Cited by 48 publications

(34 citation statements)

References 29 publications

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“…1.11a). Due to the symmetry of the appiled boundary and loading conditions, only half of a complete sine-wave CNT was modeled (Matveeva et al 2014). The MD simulation box in each case was constructed by randomly placing cross-linked epoxy structures around the embedded CNT (see Fig.…”

Section: Modeling Of Nanocomposite Containing Wavy Cntsmentioning

confidence: 99%

Multiscale Modeling of Nanoreinforced Composites

Alian

Meguid

2016

Advances in Nanocomposites

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In this chapter, we present different multiscale modeling techniques to determine the elastic and interfacial properties of carbon nanotube (CNT)-reinforced polymer composites. The elastic properties of CNT-reinforced composite (hereinafter the "nanocomposite") are obtained in a two-step approach. First, at the nanoscale level, molecular dynamics (MD) and atomistic-based continuum (ABC) techniques are used to determine the effective elastic properties of a representative volume element (RVE) that is comprised of a nanofiller and its immediate surrounding. Second, at the microscale level, several micromechanics models and hybrid Monte Carlo finite-element (FE) simulations are used to determine the bulk properties of nanocomposite. The interfacial properties are determined through pullout test using MD and ABC techniques. The effect of length, diameter, agglomeration, waviness, defects, and orientation of CNTs on the elastic and interfacial properties of nanocomposites is also investigated. The development of multiscale modeling and the proper selection of simulation parameters are discussed in detail. The results of several studies are presented and compared to show the inherited limitations in each technique.

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Section: Modeling Of Nanocomposite Containing Wavy Cntsmentioning

confidence: 99%

Multiscale Modeling of Nanoreinforced Composites

Alian

Meguid

2016

Advances in Nanocomposites

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“…(13) into Eq. (16). The mean value of compliance matrix for region 1 and 3 of twisted yarn in the global coordinate system is obtained as follows [27]: …”

Section: Mean Value Of Compliance Tensors For Twisted Yarnmentioning

confidence: 99%

“…Cuong et al [15] showed that fibers friction coefficients have much effect on the ballistic performance of the interlock woven fabrics. Matveeva et al [16] presented the influence of waviness and curliness of fibers on mechanical properties of polymeric composites reinforced by curved cylindrical inclusions of very high aspect ratio. It is shown that both curved fiber geometries, sinusoidal and helical, significantly reduce the longitudinal elastic stiffness of the composites.…”

Section: Introductionmentioning

confidence: 99%

Effect of Yarn Distortion on the Mechanical Properties of Fiber-Bar Composites Reinforced by Three-Dimensional Weaving

et al. 2015

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A meso-structure model of fiber-bar composites reinforced by three-dimensional weaving (FBCR3DW) is proposed. Optical microscopy images of the preform structure revealed that the fibers along the circumference of the yarn cross-weave were twisted randomly due to alternating yarn winding on either side of the fiber bars during the manufacturing process. Sections of the cross-woven yarn were divided into five regions based on the twist characteristics. Stochastic function theory was used to describe the twist characteristics and to calculate the compliance tensor for each twisted yarn region. The twist characteristics and compliance tensor of each region were then introduced into a finite element model to calculate the elastic properties of the twisted yarn and FBCR3DW; unidirectional tensile stress-strain curves were generated based on the Tsai-Wu failure criterion. Several FBCR3DW specimens with randomly twisted yarns inside the weave structure were used in experimental tests. Our numerical results were in good agreement with the experimental values. Yarn distortion had a significant effect on the elastic properties and axial tensile strength of the yarn; specifically, the influence of yarn distortion on the transverse elastic modulus and transverse shear modulus of FBCR3DW was severe, whereas only a slight effect occurred with regard to the other elastic Appl Compos Mater constants and unidirectional tensile properties. Thus, the proposed method provides an effective reference for modeling fiber composites with a weave structure.

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“…A 2D finite element (FE) model was established by Li and Chou [26] to study the failure of CNT/polymer composites considering the effect of nanotube waviness and random nanotube distribution. Recently, Matveeva et al [27] studied the elastic stiffness of polymeric composite materials reinforced by curved cylindrical inclusions of infinite aspect ratio, is abstract from CNT/polymer composites, by FE-based homogenization methods primarily. Han et al [28] presented a computational strategy to discern the micro-structural characteristics including networks/agglomerations of CNTs in the polymer matrix by reducing CNTs to threads and neglecting their overlapping.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of elastic–plastic properties of polymer composite reinforced by wavy and random CNTs

Yuan

2014

Computational Materials Science

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Influence of waviness and curliness of fibres on mechanical properties of composites

Cited by 48 publications

References 29 publications

Multiscale Modeling of Nanoreinforced Composites

Multiscale Modeling of Nanoreinforced Composites

Effect of Yarn Distortion on the Mechanical Properties of Fiber-Bar Composites Reinforced by Three-Dimensional Weaving

Numerical analysis of elastic–plastic properties of polymer composite reinforced by wavy and random CNTs

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