Some Textile Applications of Finite-element Analysis Part I: Finite Elements for Aligned Fibre Assemblies

Munro, W. A.; Carnaby, G. A.; Carr, Athol J.; Moss, Peter

doi:10.1080/00405000.1997.11090887

Cited by 16 publications

(7 citation statements)

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“…In addition, these presentations were limited to virtual representations and predictions of the tensile properties of the yarn structure. In this present study, which is different from the previous work, [12][13][14][15] the authors propose a CAD/CAE approach to predict the tensile behavior of multifilament twist yarn. CAD was used to model the yarn structures as an assembly of many filaments by twisting.…”

Section: Stress-extension Curves Of Yarn and Comparison With Experimentsmentioning

confidence: 86%

“…In their previous work, Djaja et al, 12 Munro et al, 13,14 and Langenhove, 15 with respect to the FEM of yarn structure, based their reports on a single line yarn path and finite numerical solutions to systems of analytical equations for yarn mechanics. The equations have to be written in terms of the final displaced position that cannot be known until after the equations have been solved.…”

Section: Stress-extension Curves Of Yarn and Comparison With Experimentsmentioning

confidence: 99%

“…Most of the methods provide a numerical solution of systems of analytical equations for the yarn mechanics. [12][13][14][15] However, these presentations are limited to virtual representations and predictions of the micromechanical properties of yarn structure. In that regard, they attempted to overcome certain difficulties, such as the definition of complex material properties and the presentation of small and large scales of deformations.…”

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confidence: 99%

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CAD/CAE for stress–strain properties of multifilament twisted yarns

Sriprateep

Bohez

2016

Textile Research Journal

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A method is presented for modeling the tensile behavior of multifilament twisted yarns. A filament assembly model and a computer-aided design/computer-aided engineering (CAD/CAE) approach are proposed for the tensile analysis. The geometry of the twisted yarn and the nonlinear filament properties were considered. The finite element method (FEM) and large deformation effects were applied for computation of the stress–extension curves. Ideal yarn structures of five layers with different twist angles were simulated to predict the tensile behavior of each filament and each layer. The stress acting on the filaments after yarn extension could be directly analyzed by the FEM. The stress distribution in the filaments showed that the highest stress regions were located at the filament in the center of the yarn and decreased slightly to the yarn surface. The stress–extensions of the filaments were converted to yarn tensile behavior that is shown in terms of the maximum and average stress–extension curves. The results of this prediction model were compared with the stress–strain curves of high-tenacity rayon yarn and the energy method. The maximum stress–extension curves showed very good agreement with experimental results and are more accurate than those obtained by previous methods.

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Section: Stress-extension Curves Of Yarn and Comparison With Experimentsmentioning

confidence: 86%

Section: Stress-extension Curves Of Yarn and Comparison With Experimentsmentioning

confidence: 99%

mentioning

confidence: 99%

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CAD/CAE for stress–strain properties of multifilament twisted yarns

Sriprateep

Bohez

2016

Textile Research Journal

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“…However, very less research has been conducted to use the concept of coated yarn as a flexible piezo-resistive strain sensor for structural health monitoring without jeopardizing the mechanical behavior of core material especially numerically. Different researchers had worked on numerical models and had used finite element analysis (FEA) to predict the mechanical behavior of yarn [30][31][32]. With the advancement of computer-aided design (CAD) and computeraided engineering (CAE), it is possible to investigate the mechanical behavior of yarn using finite element modeling (FEM) [33].…”

Section: Introductionmentioning

confidence: 99%

Nanotechnology and Development of Strain Sensor for Damage Detection

Qureshi¹,

Tarfaoui²,

Lafdi³

et al. 2019

Advances in Structural Health Monitoring

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Composite materials, having better properties than traditional materials, are susceptible to potential damage during operating conditions, and this issue is usually not found until it is too late. Thus, it is important to identify when cracks occur within a structure, to avoid catastrophic failure. The objective of this chapter is to fabricate a new generation of strain sensors in the form of a wire/thread that can be incorporated into a material to detect damage before they become fatal. This microscale strain sensor consists of flexible, untwisted nylon yarn coated with a thin layer of silver using electroless plating process. The electromechanical response of this sensor wire was tested experimentally using tensile loading and then verified numerically with good agreement in results. This flexible strain sensor was then incorporated into a composite specimen to demonstrate the detection of damage initiation before the deformation of structure becomes fatal. The specimens were tested mechanically in a standard tensometer machine, while the electrical response was recorded. The results were very encouraging, and the signal from the sensor was correlated perfectly with the mechanical behavior of the specimen. This showed that these flexible strain sensors can be used for in situ structural health monitoring (SHM) and real-time damage detection applications.

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“…Obstacles for the successful use of numerical methods were mainly the large displacement effects and the nonlinearity related with the deformations of textiles and the convergence problems arose. Munro et al (Munro et al, 1997a) proposed a new approach for the application of FEM to the aligned fibre assembly problem. Three dimensional 8-node elements with cuboid shape in the neutral configuration and 6 degrees of freedom (DOF) per node employed for the investigation.…”

Section: Micro-and Mesomechanical Modelling Of Simple Deformationsmentioning

confidence: 99%