Abstract:This study established a mechanical model based on the mechanical properties of fibrous tows and their force of interaction with spools. The proposed model not only describes the hysteresis, nonlinear elastic, and viscoelastic stress components, but also analyzes the effect of residual strain on aramid fiber mechanical properties. Moreover, the effect of the interaction force between the fiber and spool on the transmission accuracy should be considered. Contrary to the conventional view, hysteresis is caused n… Show more
“…[3][4][5] As a vital part of fiber-reinforced composites, the mechanical behavior of the yarn will significantly disperse the mechanical properties of the composite, such as tensile, compression and bending. [6][7][8] Therefore, some methods for the evaluation of yarns performance are needed to develop fiber-reinforced composites with higher specific strength and specific modulus. Lamon et al 9 investigated the flaw strength distributions of various fiber types and constructed empirical distributions of flaw strength that allow the evaluation of Weibull plot and Maximum Likelihood Estimation methods as functions of sample size and composition.…”
The mechanical properties of yarns have a decisive effect on the performance of fiber-reinforced composite materials. Predictive simulations of the mechanical response of yarns are, thus, necessary for damage evaluation and geometric reconstruction of textiles. This paper proposed a quasi-fiber scale virtual modeling method regard to the axial tensile and transverse compressive behaviors of the twisted yarns. A stochastic properties model of the yarn was established for characterizing the statistical distribution of tensile strength. The variation of modeling parameters, including coefficient of friction, the amounts of virtual fibers per yarn and element length, versus calculation accuracy has been determined based on axial tensile and transverse compressive behavior of quartz fibers. The relationship between modeling parameters and mechanical behavior of yarn was established within the scope of this study. Axial tensile and transverse compressive behavior of yarns with different twists were predicted. The results show that balance between the modeling precision and computational efficiency can be achieved using the parameters, the COF of 0.35, virtual fiber count of 122 and Le of 0.3. This efficient modeling method is meaningful to be developed in further virtual weaving research.
“…[3][4][5] As a vital part of fiber-reinforced composites, the mechanical behavior of the yarn will significantly disperse the mechanical properties of the composite, such as tensile, compression and bending. [6][7][8] Therefore, some methods for the evaluation of yarns performance are needed to develop fiber-reinforced composites with higher specific strength and specific modulus. Lamon et al 9 investigated the flaw strength distributions of various fiber types and constructed empirical distributions of flaw strength that allow the evaluation of Weibull plot and Maximum Likelihood Estimation methods as functions of sample size and composition.…”
The mechanical properties of yarns have a decisive effect on the performance of fiber-reinforced composite materials. Predictive simulations of the mechanical response of yarns are, thus, necessary for damage evaluation and geometric reconstruction of textiles. This paper proposed a quasi-fiber scale virtual modeling method regard to the axial tensile and transverse compressive behaviors of the twisted yarns. A stochastic properties model of the yarn was established for characterizing the statistical distribution of tensile strength. The variation of modeling parameters, including coefficient of friction, the amounts of virtual fibers per yarn and element length, versus calculation accuracy has been determined based on axial tensile and transverse compressive behavior of quartz fibers. The relationship between modeling parameters and mechanical behavior of yarn was established within the scope of this study. Axial tensile and transverse compressive behavior of yarns with different twists were predicted. The results show that balance between the modeling precision and computational efficiency can be achieved using the parameters, the COF of 0.35, virtual fiber count of 122 and Le of 0.3. This efficient modeling method is meaningful to be developed in further virtual weaving research.
“…[12][13][14][15][16] (6) Manipulator or robot arms are designed, such that the transmission of the actuator loads to the parts of the arm is performed by aramid yarns. 17 Kevlar fibers, as well as Dyneema, Spectra and Vectran fibers, have a great stiffness-to-weight ratio, and could be very useful for mechanical structure applications by minimizing the final weight of the product.…”
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confidence: 99%
“…[3][4][5][23][24][25][26] Bles, 27 Bles et al 9 and Dib et al 28 proposed one-dimensional (1D) viscoelasto-plastic constitutive laws for woven straps and synthetic fibers based on the superimposition of stress contributions of different natures. The model of Bles et al 9 was adopted and adapted with success to aramid yarns by Che et al 17 for modeling the cyclic mechanical behavior of robot arms. Chailleux and Davies, 29,30 Davies et al 31 and Huang et al 32 proposed constitutive laws for aramid and polyester yarns and ropes based on two summed strain contributions: viscoplastic and viscoelastic (Schapery's model).…”
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confidence: 99%
“…9 was adopted and adapted with success to aramid yarns by Che et al. 17 for modeling the cyclic mechanical behavior of robot arms. Chailleux and Davies, 29,30 Davies et al.…”
This study focuses on modeling the mechanical behavior of threadlike woven materials or those shaped in uniaxial form, such as wires, ropes, woven lines, cables, straps, slings, etc. The proposed one-dimensional model is based on the superimposition of two stress contributions: a non-Newtonian visco-elastic stress and a time-independent stress. The time-independent stress represents a particular irreversible behavior, linked to the loading history. This model neglects the thickness of the time-independent hysteresis loops during the unloading–reloading processes while preserving the irreversible character of elasto-plastic-type behavior. The model's predictions are compared to a set of experimental results, carried out on polyamide 6-6 straps, available from previous experimental studies in the literature. The model describes the shape of the stress–strain hysteresis loops very well and predicts perfectly the direction of the strain and stress evolutions during the creep and relaxation periods, regardless of their position in the first load or in the load–unload branches.
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